Publications (Full List)

Google scholar (97226 citations) , DBLP , arXiv .

Journal

1. Paragraph-to-image generation with information-enriched diffusion model
   \(\cdot\) W. Wu, Z. Li, Y. He, M. Shou, C. Shen, L. Cheng, Y. Li, T. Gao, Z. Di.
   \(\cdot\) International Journal of Computer Vision (IJCV), 2025.
   \(\cdot\) bibtexsearch

2. Segment anything in context with vision foundation models
   \(\cdot\) Y. Liu, M. Zhu, H. Chen, X. Wang, B. Feng, H. Wang, S. Li, R. Vemulapalli, C. Shen.
   \(\cdot\) International Journal of Computer Vision (IJCV), 2025.
   \(\cdot\) bibtexsearch

3. PonderV2: pave the way for 3D foundation model with a universal pre-training paradigm
   \(\cdot\) H. Zhu, H. Yang, X. Wu, D. Huang, S. Zhang, X. He, H. Zhao, C. Shen, Y. Qiao, T. He, W. Ouyang.
   \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
   \(\cdot\) bibtexsearch

4. Leaning dual-stream conditional concepts in compositional zero-shot learning
   \(\cdot\) Q. Wang, L. Liu, C. Jing, P. Wang, Y. Zhang, C. Shen.
   \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
   \(\cdot\) bibtexsearch

5. VimTS: a unified video and image text spotter for enhancing the cross-domain generalization
   \(\cdot\) Y. Liu, M. Huang, H. Yan, L. Deng, W. Wu, H. Lu, C. Shen, L. Jin, X. Bai.
   \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
   \(\cdot\) arXivbibtexsearch

6. Diffusion models are efficient data generators for human mesh recovery
   \(\cdot\) Y. Ge, W. Wang, Y. Chen, F. Wang, L. Yang, H. Chen, C. Shen.
   \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
   \(\cdot\) bibtexsearch

7. Scaling up multi-domain semantic segmentation with sentence embeddings
   \(\cdot\) W. Yin, Y. Liu, C. Shen, B. Sun, A. van den Hengel.
   \(\cdot\) International Journal of Computer Vision (IJCV), 2024.
   \(\cdot\) bibtexsearch

8. Towards robust monocular depth estimation: a new baseline and benchmark
   \(\cdot\) K. Xian, Z. Cao, C. Shen, G. Lin.
   \(\cdot\) International Journal of Computer Vision (IJCV), 2024.
   \(\cdot\) bibtexsearch

9. End-to-end video text spotting with Transformer
   \(\cdot\) W. Wu, C. Shen, Y. Cai, D. Zhang, Y. Fu, P. Luo, H. Zhou.
   \(\cdot\) International Journal of Computer Vision (IJCV), 2024.
   \(\cdot\) bibtexsearch

10. AutoStory: generating diverse storytelling images with minimal human effort
    \(\cdot\) W. Wang, C. Zhao, H. Chen, Z. Chen, K. Zheng, C. Shen.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2024.
    \(\cdot\) bibtexsearch

11. Masked channel modeling for bootstrapping visual pre-training
    \(\cdot\) Y. Liu, X. Wang, M. Zhu, Y. Cao, T. Huang, C. Shen.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2024.
    \(\cdot\) bibtexsearch

12. Target before shooting: accurate anomaly detection and localization under one millisecond via cascade patch retrieval
    \(\cdot\) H. Li, J. Hu, B. Li, H. Chen, Y. Zheng, C. Shen.
    \(\cdot\) IEEE Transactions on Image Processing (TIP), 2024.
    \(\cdot\) bibtexsearch

13. Self-supervised 3d scene flow estimation and motion prediction using local rigidity prior
    \(\cdot\) R. Li, C. Zhang, Z. Wang, C. Shen, G. Lin.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
    \(\cdot\) arXivbibtexsearch

14. Metric3D v2: a versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation
    \(\cdot\) M. Hu, W. Yin, C. Zhang, Z. Cai, X. Long, H. Chen, K. Wang, G. Yu, C. Shen, S. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
    \(\cdot\) arXivbibtexsearchproject webpage

15. SegViT v2: exploring efficient and continual semantic segmentation with plain vision transformers
    \(\cdot\) B. Zhang, L. Liu, M. Phan, Z. Tian, C. Shen, Y. Liu.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

16. SPL-Net: spatial-semantic patch learning network for facial attribute recognition with limited labeled data
    \(\cdot\) Y. Yan, Y. Shu, S. Chen, J. Xue, C. Shen, H. Wang.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2023.
    \(\cdot\) bibtexsearch

17. From open set to closed set: supervised spatial divide-and-conquer for object counting
    \(\cdot\) H. Xiong, H. Lu, C. Liu, L. Liu, C. Shen, Z. Cao.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2023.
    \(\cdot\) arXivbibtexsearch

18. A dynamic feature interaction framework for multi-task visual perception
    \(\cdot\) Y. Xi, H. Chen, N. Wang, P. Wang, Y. Zhang, C. Shen, Y. Liu.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2023.
    \(\cdot\) bibtexsearch

19. Super vision transformer
    \(\cdot\) M. Lin, M. Chen, Y. Zhang, C. Shen, R. Ji, L. Cao.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

20. SAI: an efficient and user-friendly tool for measurement of stomatal pores and density using deep computer vision
    \(\cdot\) N. Sai, J. Bockman, H. Chen, N. Watson-Haigh, B. Xu, X. Feng, A. Piechatzek, C. Shen, M. Gilliham.
    \(\cdot\) New Phytologist (NPH), 2023.
    \(\cdot\) linkbibtexsearch

21. Learning from partially labeled data for multi-organ and tumor segmentation
    \(\cdot\) Y. Xie, J. Zhang, Y. Xia, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

22. SC-DepthV3: robust self-supervised monocular depth estimation for dynamic scenes
    \(\cdot\) L. Sun, J. Bian, H. Zhan, W. Yin, I. Reid, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

23. SPTS v2: single-point scene text spotting
    \(\cdot\) Y. Liu, J. Zhang, D. Peng, M. Huang, X. Wang, J. Tang, C. Huang, D. Lin, C. Shen, X. Bai, L. Jin.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

24. Single-path bit sharing for automatic loss-aware model compression
    \(\cdot\) J. Liu, B. Zhuang, P. Chen, C. Shen, J. Cai, M. Tan.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    \(\cdot\) arXivbibtexsearch

25. Effective eyebrow matting with domain adaptation
    \(\cdot\) L. Wang, H. Zhang, Q. Xiao, H. Xu, C. Shen, X. Jin.
    \(\cdot\) Computer Graphics Forum (CGF), 2022.
    \(\cdot\) bibtexsearch

26. Structured binary neural networks for image recognition
    \(\cdot\) B. Zhuang, C. Shen, M. Tan, P. Chen, L. Liu, I. Reid.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2022.
    \(\cdot\) arXivbibtexsearch

27. Arbitrarily shaped scene text detection with dynamic convolution
    \(\cdot\) Y. Cai, Y. Liu, C. L. Jin, Y. Li, D. Ergu.
    \(\cdot\) Pattern Recognition (PR), 2022.
    \(\cdot\) bibtexsearch

28. TSGB: target-selective gradient backprop for probing CNN visual saliency
    \(\cdot\) L. Cheng, P. Fang, Y. Liang, L. Zhang, C. Shen, H. Wang.
    \(\cdot\) IEEE Transactions on Image Processing (TIP), 2022.
    \(\cdot\) bibtexsearch

29. DeepEMD: differentiable earth mover's distance for few-shot learning
    \(\cdot\) C. Zhang, Y. Cai, G. Lin, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
    \(\cdot\) arXivbibtexsearch

30. Towards accurate reconstruction of 3D scene shape from a single monocular image
    \(\cdot\) W. Yin, J. Zhang, O. Wang, S. Niklaus, S. Chen, Y. Liu, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
    \(\cdot\) arXivbibtexsearchproject webpage

31. Instance and panoptic segmentation using conditional convolutions
    \(\cdot\) Z. Tian, B. Zhang, H. Chen, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
    \(\cdot\) arXivbibtexsearchproject webpage

32. FCOS: a simple and strong anchor-free object detector
    \(\cdot\) Z. Tian, C. Shen, H. Chen, T. He.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
    \(\cdot\) linkbibtexsearchproject webpage

33. Dynamic convolution for 3D point cloud instance segmentation
    \(\cdot\) T. He, C. Shen, A. van den Hengel.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
    \(\cdot\) arXivbibtexsearch

34. Improving monocular visual odometry using learned depth
    \(\cdot\) L. Sun, W. Yin, E. Xie, Z. Li, C. Sun, C. Shen.
    \(\cdot\) IEEE Transactions on Robotics (TRO), 2022.
    \(\cdot\) bibtexsearch

35. DenseCL: a simple framework for self-supervised dense visual pre-training
    \(\cdot\) X. Wang, R. Zhang, C. Shen, T. Kong.
    \(\cdot\) Visual Informatics (VI), 2022.
    \(\cdot\) bibtexsearch

36. Memory-efficient hierarchical neural architecture search for image restoration
    \(\cdot\) H. Zhang, Y. Li, H. Chen, C. Gong, Z. Bai, C. Shen.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

37. BiSeNet v2: bilateral network with guided aggregation for real-time semantic segmentation
    \(\cdot\) C. Yu, C. Gao, J. Wang, G. Yu, C. Shen, N. Sang.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) arXivbibtexsearch

38. A dual-attention-guided network for ghost-free high dynamic range imaging
    \(\cdot\) Q. Yan, D. Gong, Q. Shi, A. van den Hengel, C. Shen, I. Reid, Y. Zhang.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) bibtexsearchproject webpage

39. NAS-FCOS: efficient search for object detection architectures
    \(\cdot\) N. Wang, Y. Gao, H. Chen, P. Wang, Z. Tian, C. Shen, Y. Zhang.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) bibtexsearchproject webpage

40. Exploring the capacity of an orderless box discretization network for multi-orientation scene text detection
    \(\cdot\) Y. Liu, T. He, H. Chen, X. Wang, C. Luo, S. Zhang, C. Shen, L. Jin.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

41. Joint classification and regression for visual tracking with fully convolutional Siamese networks
    \(\cdot\) Y. Cui, D. Guo, Y. Shao, Z. Wang, C. Shen, L. Zhang, S. Chen.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) bibtexsearch

42. Unsupervised scale-consistent depth learning from video
    \(\cdot\) J. Bian, H. Zhan, N. Wang, Z. Li, L. Zhang, C. Shen, M. Cheng, I. Reid.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

43. Learning discriminative region representation for person retrieval
    \(\cdot\) Y. Zhao, X. Yu, Y. Gao, C. Shen.
    \(\cdot\) Pattern Recognition (PR), 2021.
    \(\cdot\) bibtexsearch

44. Learning deep part-aware embedding for person retrieval
    \(\cdot\) Y. Zhao, C. Shen, X. Yu, H. Chen, Y. Gao, S. Xiong.
    \(\cdot\) Pattern Recognition (PR), 2021.
    \(\cdot\) bibtexsearch

45. An adversarial human pose estimation network injected with graph structure
    \(\cdot\) L. Tian, P. Wang, G. Liang, C. Shen.
    \(\cdot\) Pattern Recognition (PR), 2021.
    \(\cdot\) bibtexsearch

46. Intra- and inter-pair consistency for semi-supervised gland segmentation
    \(\cdot\) Y. Xie, J. Zhang, Z. Liao, J. Verjans, C. Shen, Y. Xia.
    \(\cdot\) IEEE Transactions on Image Processing (TIP), 2021.
    \(\cdot\) bibtexsearch

47. Effective training of convolutional neural networks with low-bitwidth weights and activations
    \(\cdot\) B. Zhuang, J. Liu, M. Tan, L. Liu, I. Reid, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearch

48. Virtual normal: enforcing geometric constraints for accurate and robust depth prediction
    \(\cdot\) W. Yin, Y. Liu, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

49. SOLO: a simple framework for instance segmentation
    \(\cdot\) X. Wang, R. Zhang, C. Shen, T. Kong, L. Li.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

50. PAN++: towards efficient and accurate end-to-end spotting of arbitrarily-shaped text
    \(\cdot\) W. Wang, E. Xie, X. Li, X. Liu, D. Liang, Z. Yang, T. Lu, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearch

51. Towards end-to-end text spotting in natural scenes
    \(\cdot\) P. Wang, H. Li, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearch

52. ABCNet v2: adaptive bezier-curve network for real-time end-to-end text spotting
    \(\cdot\) Y. Liu, C. Shen, L. Jin, T. He, P. Chen, C. Liu, H. Chen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

53. Auto-rectify network for unsupervised indoor depth estimation
    \(\cdot\) J. Bian, H. Zhan, N. Wang, T. Chin, C. Shen, I. Reid.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    \(\cdot\) bibtexsearch

54. Deep learning for anomaly detection: a review
    \(\cdot\) G. Pang, C. Shen, L. Cao, A. van den Hengel.
    \(\cdot\) ACM Computing Surveys (ACMSurvey), 2020.
    \(\cdot\) arXivbibtexsearch

55. Towards light-weight portrait matting via parameter sharing
    \(\cdot\) Y. Dai, H. Lu, C. Shen.
    \(\cdot\) Computer Graphics Forum (CGF), 2020.
    \(\cdot\) bibtexsearch

56. Separating content from style using adversarial learning for recognizing text in the wild
    \(\cdot\) C. Luo, Q. Lin, Y. Liu, L. Jin, C. Shen.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2020.
    \(\cdot\) arXivbibtexsearch

57. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks
    \(\cdot\) H. Xiong, Z. Cao, H. Lu, S. Madec, L. Liu, C. Shen.
    \(\cdot\) Plant Methods (PLME), 2020.
    \(\cdot\) bibtexsearch

58. MobileFAN: transferring deep hidden representation for face alignment
    \(\cdot\) Y. Zhao, Y. Liu, C. Shen, Y. Gao, S. Xiong.
    \(\cdot\) Pattern Recognition (PR), 2020.
    \(\cdot\) arXivbibtexsearch

59. Part-guided attention learning for vehicle instance retrieval
    \(\cdot\) X. Zhang, R. Zhang, J. Cao, D. Gong, M. You, C. Shen.
    \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
    \(\cdot\) arXivbibtexsearch

60. A robust attentional framework for license plate recognition in the wild
    \(\cdot\) L. Zhang, P. Wang, H. Li, Z. Li, C. Shen, Y. Zhang.
    \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
    \(\cdot\) bibtexsearch

61. Real-time high-performance semantic image segmentation of urban street scenes
    \(\cdot\) G. Dong, Y. Yan, C. Shen, H. Wang.
    \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
    \(\cdot\) bibtexsearch

62. Towards effective deep embedding for zero-shot learning
    \(\cdot\) L. Zhang, P. Wang, L. Liu, C. Shen, W. Wei, Y. Zhang, A. van den Hengel.
    \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
    \(\cdot\) bibtexsearch

63. NSSNet: scale-aware object counting with non-scale suppression
    \(\cdot\) L. Liu, Z. Cao, H. Lu, H. Xiong, C. Shen.
    \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
    \(\cdot\) bibtexsearch

64. Viral pneumonia screening on chest x-ray images using confidence-aware anomaly detection
    \(\cdot\) J. Zhang, Y. Xie, Z. Liao, G. Pang, J. Verjans, W. Li, Z. Sun, J. He, Y. Li, C. Shen, Y. Xia.
    \(\cdot\) IEEE Transactions on Medical Imaging (TMI), 2020.
    \(\cdot\) arXivbibtexsearch

65. A mutual bootstrapping model for automated skin lesion segmentation and classification
    \(\cdot\) Y. Xie, J. Zhang, Y. Xia, C. Shen.
    \(\cdot\) IEEE Transactions on Medical Imaging (TMI), 2020.
    \(\cdot\) arXivbibtexsearch

66. SESV: accurate medical image segmentation by predicting and correcting errors
    \(\cdot\) Y. Xie, J. Zhang, H. Lu, C. Shen, Y. Xia.
    \(\cdot\) IEEE Transactions on Medical Imaging (TMI), 2020.
    \(\cdot\) bibtexsearch

67. OPMP: an omni-directional pyramid mask proposal network for arbitrary-shape scene text detection
    \(\cdot\) S. Zhang, Y. Liu, L. Jin, Z. Wei, C. Shen.
    \(\cdot\) IEEE Transactions on Multimedia (TMM), 2020.
    \(\cdot\) bibtexsearch

68. Joint deep learning of facial expression synthesis and recognition
    \(\cdot\) Y. Yan, Y. Huang, S. Chen, C. Shen, H. Wang.
    \(\cdot\) IEEE Transactions on Multimedia (TMM), 2020.
    \(\cdot\) bibtexsearch

69. Accurate tensor completion via adaptive low-rank representation
    \(\cdot\) L. Zhang, W. Wei, Q. Shi, C. Shen, A. van den Hengel, Y. Zhang.
    \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2020.
    \(\cdot\) bibtexsearch

70. Deep clustering with sample-assignment invariance prior
    \(\cdot\) X. Peng, H. Zhu, J. Feng, C. Shen, H. Zhang, J. Zhou.
    \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2020.
    \(\cdot\) bibtexsearch

71. Learning deep gradient descent optimization for image deconvolution
    \(\cdot\) D. Gong, Z. Zhang, Q. Shi, A. van den Hengel, C. Shen, Y. Zhang.
    \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2020.
    \(\cdot\) arXivbibtexsearch

72. Real-time image smoothing via iterative least squares
    \(\cdot\) W. Liu, P. Zhang, X. Huang, J. Yang, C. Shen, I. Reid.
    \(\cdot\) ACM Transactions on Graphics (TOG), 2020.
    \(\cdot\) arXivlinkbibtexsearchproject webpage

73. Plenty is plague: fine-grained learning for visual question answering
    \(\cdot\) Y. Zhou, R. Ji, J. Su, X. Sun, D. Meng, Y. Gao, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) linkbibtexsearch

74. Ordered or orderless: a revisit for video based person re-identification
    \(\cdot\) L. Zhang, Z. Shi, J. Zhou, M. Cheng, Y. Liu, J. Bian, Z. Zeng, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) arXivlinkbibtexsearchproject webpage

75. Index networks
    \(\cdot\) H. Lu, Y. Dai, C. Shen, S. Xu.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) arXivlinkbibtexsearchproject webpage

76. Structured knowledge distillation for dense prediction
    \(\cdot\) Y. Liu, C. Shun, J. Wang, C. Shen.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) arXivlinkbibtexsearchproject webpage

77. Adversarial learning of structure-aware fully convolutional networks for landmark localization
    \(\cdot\) Y. Chen, C. Shen, H. Chen, X. Wei, L. Liu, J. Yang.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) arXivlinkbibtexsearch

78. Improving generative adversarial networks with local coordinate coding
    \(\cdot\) J. Cao, Y. Guo, Q. Wu, C. Shen, J. Huang, M. Tan.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    \(\cdot\) arXivbibtexsearchproject webpage

79. Adaptive importance learning for improving lightweight image super-resolution network
    \(\cdot\) L. Zhang, P. Wang, C. Shen, L. Liu, W. Wei, Y. Zhang, A. van den Hengel.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2019.
    \(\cdot\) arXivbibtexsearchproject webpage

80. Accurate imagery recovery using a multi-observation patch model
    \(\cdot\) L. Zhang, W. Wei, Q. Shen, C. Shen, A. van den Hengel.
    \(\cdot\) Information Sciences (IS), 2019.
    \(\cdot\) bibtexsearch

81. Heritage image annotation via collective knowledge
    \(\cdot\) J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu, Q. Wu.
    \(\cdot\) Pattern Recognition (PR), 2019.
    \(\cdot\) bibtexsearch

82. Wider or deeper: revisiting the ResNet model for visual recognition
    \(\cdot\) Z. Wu, C. Shen, A. van den Hengel.
    \(\cdot\) Pattern Recognition (PR), 2019.
    \(\cdot\) arXivbibtexsearch

83. Order-aware convolutional pooling for video based action recognition
    \(\cdot\) P. Wang, L. Liu, C. Shen, H. Shen.
    \(\cdot\) Pattern Recognition (PR), 2019.
    \(\cdot\) bibtexsearch

84. Structural analysis of attributes for vehicle re-identification and retrieval
    \(\cdot\) Y. Zhao, C. Shen, H. Wang, S. Chen.
    \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019.
    \(\cdot\) bibtexsearch

85. Human detection aided by deeply learned semantic masks
    \(\cdot\) X. Wang, C. Shen, H. Li, S. Xu.
    \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    \(\cdot\) bibtexsearch

86. Embedding bilateral filter in least squares for efficient edge-preserving image smoothing
    \(\cdot\) W. Liu, P. Zhang, X. Chen, C. Shen, X. Huang, J. Yang.
    \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    \(\cdot\) bibtexsearch

87. Counting objects by blockwise classification
    \(\cdot\) L. Liu, H. Lu, H. Xiong, K. Xian, Z. Cao, C. Shen.
    \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    \(\cdot\) bibtexsearch

88. Hyperspectral classification based on lightweight 3D-CNN with transfer learning
    \(\cdot\) H. Zhang, Y. Li, Y. Jiang, P. Wang, Q. Shen, C. Shen.
    \(\cdot\) IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019.
    \(\cdot\) bibtexsearch

89. Salient object detection with lossless feature reflection and weighted structural loss
    \(\cdot\) P. Zhang, W. Liu, H. Lu, C. Shen.
    \(\cdot\) IEEE Transactions on Image Processing (TIP), 2019.
    \(\cdot\) bibtexsearch

90. Piecewise classifier mappings: learning fine-grained learners for novel categories with few examples
    \(\cdot\) X. Wei, P. Wang, L. Liu, C. Shen, J. Wu.
    \(\cdot\) IEEE Transactions on Image Processing (TIP), 2019.
    \(\cdot\) arXivbibtexsearch

91. Multiple instance learning with emerging novel class
    \(\cdot\) X. Wei, H. Ye, X. Mu, J. Wu, C. Shen, Z. Zhou.
    \(\cdot\) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
    \(\cdot\) bibtexsearch

92. Attention residual learning for skin lesion classification
    \(\cdot\) J. Zhang, Y. Xie, Y. Xia, C. Shen.
    \(\cdot\) IEEE Transactions on Medical Imaging (TMI), 2019.
    \(\cdot\) bibtexsearch

93. Decoupled spatial neural attention for weakly supervised semantic segmentation
    \(\cdot\) T. Zhang, G. Lin, J. Cai, T. Shen, C. Shen, A. Kot.
    \(\cdot\) IEEE Transactions on Multimedia (TMM), 2019.
    \(\cdot\) arXivbibtexsearch

94. RefineNet: multi-path refinement networks for dense prediction
    \(\cdot\) G. Lin, F. Liu, A. Milan, C. Shen, I. Reid.
    \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
    \(\cdot\) linkbibtexsearchproject webpage

    1. Pytorch code is here.

95. Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction
    \(\cdot\) L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
    \(\cdot\) International Journal of Computer Vision (IJCV), 2018.
    \(\cdot\) pdfbibtexsearch

96. Reading car license plates using deep neural networks
    \(\cdot\) H. Li, P. Wang, M. You, C. Shen.
    \(\cdot\) Image and Vision Computing (IVC), 2018.
    \(\cdot\) arXivbibtexsearch

97. Multi-label learning based deep transfer neural network for facial attribute classification
    \(\cdot\) N. Zhuang, Y. Yan, S. Chen, H. Wang, C. Shen.
    \(\cdot\) Pattern Recognition (PR), 2018.
    \(\cdot\) arXivbibtexsearch

98. Unsupervised object discovery and co-localization by deep descriptor transforming
    \(\cdot\) X. Wei, C. Zhang, J. Wu, C. Shen, Z. Zhou.
    \(\cdot\) Pattern Recognition (PR), 2018.
    \(\cdot\) arXivbibtexsearch

99. An extended filtered channel framework for pedestrian detection
    \(\cdot\) M. You, Y. Zhang, C. Shen, X. Zhang.
    \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2018.
    \(\cdot\) bibtexsearch

100. Towards end-to-end car license plates detection and recognition with deep neural networks
     \(\cdot\) H. Li, P. Wang, C. Shen.
     \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2018.
     \(\cdot\) bibtexsearch

101. Unsupervised domain adaptation using robust class-wise matching
     \(\cdot\) L. Zhang, P. Wang, W. Wei, H. Lu, C. Shen, A. van den Hengel, Y. Zhang.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
     \(\cdot\) bibtexsearch

102. Semantics-aware visual object tracking
     \(\cdot\) R. Yao, G. Lin, C. Shen, Y. Zhang, Q. Shi.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
     \(\cdot\) bibtexsearch

103. Pushing the limits of deep CNNs for pedestrian detection
     \(\cdot\) Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
     \(\cdot\) arXivbibtexsearch

104. An embarrassingly simple approach to visual domain adaptation
     \(\cdot\) H. Lu, C. Shen, Z. Cao, Y. Xiao, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2018.
     \(\cdot\) bibtexsearchproject webpage

105. Multi-label image classification with regional latent semantic dependencies
     \(\cdot\) J. Zhang, Q. Wu, C. Shen, J. Zhang, J. Lu.
     \(\cdot\) IEEE Transactions on Multimedia (TMM), 2018.
     \(\cdot\) arXivbibtexsearch

106. Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regression
     \(\cdot\) G. Guo, H. Wang, C. Shen, Y. Yan, H. Liao.
     \(\cdot\) IEEE Transactions on Multimedia (TMM), 2018.
     \(\cdot\) arXivbibtexsearch

107. FVQA: fact-based visual question answering
     \(\cdot\) P. Wang, Q. Wu, C. Shen, A. Dick, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
     \(\cdot\) arXivbibtexsearch

108. Ordinal constraint binary coding for approximate nearest neighbor search
     \(\cdot\) H. Liu, R. Ji, J. Wang, C. Shen.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
     \(\cdot\) pdfbibtexsearch

109. Visual question answering: a survey of methods and datasets
     \(\cdot\) Q. Wu, D. Teney, P. Wang, C. Shen, A. Dick, A. van den Hengel.
     \(\cdot\) Computer Vision and Image Understanding (CVIU), 2017.
     \(\cdot\) arXivbibtexsearch

110. Structured learning of binary codes with column generation for optimizing ranking measures
     \(\cdot\) G. Lin, F. Liu, C. Shen, J. Wu, H. Shen.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2017.
     \(\cdot\) arXivbibtexsearchproject webpage

111. Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding
     \(\cdot\) Y. Li, W. Li, C. Shen.
     \(\cdot\) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAEORS), 2017.
     \(\cdot\) bibtexsearch

112. TasselNet: counting maize tassels in the wild via local counts regression network
     \(\cdot\) H. Lu, Z. Cao, Y. Xiao, B. Zhuang, C. Shen.
     \(\cdot\) Plant Methods (PLME), 2017.
     \(\cdot\) arXivbibtexsearch

113. Deep linear discriminant analysis on Fisher networks: a hybrid architecture for person re-identification
     \(\cdot\) L. Wu, C. Shen, A. van den Hengel.
     \(\cdot\) Pattern Recognition (PR), 2017.
     \(\cdot\) arXivbibtexsearch

114. Mask-CNN: localizing parts and selecting descriptors for bird species categorization
     \(\cdot\) X. Wei, C. Xie, J. Wu, C. Shen.
     \(\cdot\) Pattern Recognition (PR), 2017.
     \(\cdot\) bibtexsearch

115. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition
     \(\cdot\) R. Qiao, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Pattern Recognition (PR), 2017.
     \(\cdot\) arXivbibtexsearch

116. Deep CNNs with spatially weighted pooling for fine-grained car recognition
     \(\cdot\) Q. Hu, H. Wang, T. Li, C. Shen.
     \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2017.
     \(\cdot\) bibtexsearch

117. Crowd counting via weighted VLAD on dense attribute feature maps
     \(\cdot\) B. Sheng, C. Shen, G. Lin, J. Li, W. Yang, C. Sun.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
     \(\cdot\) arXivbibtexsearch

118. Estimating depth from monocular images as classification using deep fully convolutional residual networks
     \(\cdot\) Y. Cao, Z. Wu, C. Shen.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
     \(\cdot\) arXivbibtexsearch

119. Discriminative training of deep fully-connected continuous CRF with task-specific loss
     \(\cdot\) F. Liu, G. Lin, C. Shen.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2017.
     \(\cdot\) arXivbibtexsearch

120. Exploiting depth from single monocular images for object detection and semantic segmentation
     \(\cdot\) Y. Cao, C. Shen, H. Shen.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2017.
     \(\cdot\) arXivbibtexsearch

121. Structured learning of tree potentials in CRF for image segmentation
     \(\cdot\) F. Liu, G. Lin, R. Qiao, C. Shen.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2017.
     \(\cdot\) arXivbibtexsearch

122. Image captioning and visual question answering based on attributes and external knowledge
     \(\cdot\) Q. Wu, C. Shen, P. Wang, A. Dick, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
     \(\cdot\) arXivbibtexsearch

123. Compositional model based Fisher vector coding for image classification
     \(\cdot\) L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, H. Shen.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
     \(\cdot\) arXivbibtexsearch

124. Cross-convolutional-layer pooling for image recognition
     \(\cdot\) L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
     \(\cdot\) arXivlinkbibtexsearch

125. Exploring context with deep structured models for semantic segmentation
     \(\cdot\) G. Lin, C. Shen, A. van den Hengel, I. Reid.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
     \(\cdot\) arXivbibtexsearch

126. Structured learning of metric ensembles with application to person re-identification
     \(\cdot\) S. Paisitkriangkrai, L. Wu, C. Shen, A. van den Hengel.
     \(\cdot\) Computer Vision and Image Understanding (CVIU), 2016.
     \(\cdot\) arXivbibtexsearch

127. Unsupervised feature learning for dense correspondences across scenes
     \(\cdot\) C. Zhang, C. Shen, T. Shen.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2016.
     \(\cdot\) arXivbibtexsearchproject webpage

128. Efficient semidefinite branch-and-cut for MAP-MRF inference
     \(\cdot\) P. Wang, C. Shen, A. van den Hengel, P. Torr.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2016.
     \(\cdot\) arXivlinkbibtexsearch

129. Mining mid-level visual patterns with deep CNN activations
     \(\cdot\) Y. Li, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2016.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

130. Online unsupervised feature learning for visual tracking
     \(\cdot\) F. Liu, C. Shen, I. Reid, A. van den Hengel.
     \(\cdot\) Image and Vision Computing (IVC), 2016.
     \(\cdot\) arXivbibtexsearch

131. Canonical principal angles correlation analysis for two-view data
     \(\cdot\) S. Wang, J. Lu, X. Gu, C. Shen, R. Xia, J. Yang.
     \(\cdot\) Journal of Visual Communication and Image Representation (JVCIR), 2016.
     \(\cdot\) linkbibtexsearch

132. Face image classification by pooling raw features
     \(\cdot\) F. Shen, C. Shen, X. Zhou, Y. Yang, H. Shen.
     \(\cdot\) Pattern Recognition (PR), 2016.
     \(\cdot\) arXivbibtexsearchproject webpage

133. Face recognition using linear representation ensembles
     \(\cdot\) H. Li, F. Shen, C. Shen, Y. Yang, Y. Gao.
     \(\cdot\) Pattern Recognition (PR), 2016.
     \(\cdot\) arXivlinkbibtexsearch

134. Fast detection of multiple objects in traffic scenes with a common detection framework
     \(\cdot\) Q. Hu, S. Paisitkriangkrai, C. Shen, A. van den Hengel, F. Porikli.
     \(\cdot\) IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2016.
     \(\cdot\) bibtexsearch

135. Part-based robust tracking using online latent structured learning
     \(\cdot\) R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
     \(\cdot\) linkbibtexsearch

136. Temporal pyramid pooling based convolutional neural network for action recognition
     \(\cdot\) P. Wang, Y. Cao, C. Shen, L. Liu, H. Shen.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
     \(\cdot\) arXivbibtexsearch

137. Dictionary learning for promoting structured sparsity in hyerpsectral compressive sensing
     \(\cdot\) L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
     \(\cdot\) IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2016.
     \(\cdot\) bibtexsearch

138. Scalable linear visual feature learning via online parallel nonnegative matrix factorization
     \(\cdot\) X. Zhao, X. Li, Z. Zhang, C. Shen, L. Gao, X. Li.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2016.
     \(\cdot\) linkbibtexsearch

139. Large-scale binary quadratic optimization using semidefinite relaxation and applications
     \(\cdot\) P. Wang, C. Shen, A. van den Hengel, P. Torr.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
     \(\cdot\) arXivlinkbibtexsearch

140. Pedestrian detection with spatially pooled features and structured ensemble learning
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

141. A generalized probabilistic framework for compact codebook creation
     \(\cdot\) L. Liu, L. Wang, C. Shen.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
     \(\cdot\) arXivlinkbibtexsearch

142. Learning depth from single monocular images using deep convolutional neural fields
     \(\cdot\) F. Liu, C. Shen, G. Lin, I. Reid.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

143. Online metric-weighted linear representations for robust visual tracking
     \(\cdot\) X. Li, C. Shen, A. Dick, Z. Zhang, Y. Zhuang.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
     \(\cdot\) arXivbibtexsearch

144. Extrinsic methods for coding and dictionary learning on Grassmann manifolds
     \(\cdot\) M. Harandi, R. Hartley, C. Shen, B. Lovell, C. Sanderson.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2015.
     \(\cdot\) arXivbibtexsearchproject webpage

145. CRF learning with CNN features for image segmentation
     \(\cdot\) F. Liu, G. Lin, C. Shen.
     \(\cdot\) Pattern Recognition (PR), 2015.
     \(\cdot\) arXivbibtexsearch

146. Hashing on nonlinear manifolds
     \(\cdot\) F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang, H. Shen.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2015.
     \(\cdot\) arXivbibtexsearchproject webpage

147. A computational model of the short-cut rule for 2D shape decomposition
     \(\cdot\) L. Luo, C. Shen, X. Liu, C. Zhang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2015.
     \(\cdot\) arXivbibtexsearch

148. Worst-case linear discriminant analysis as scalable semidefinite feasibility problems
     \(\cdot\) H. Li, C. Shen, A. van den Hengel, Q. Shi.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2015.
     \(\cdot\) arXivbibtexsearchproject webpage

149. Supervised hashing using graph cuts and boosted decision trees
     \(\cdot\) G. Lin, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

150. Fast approximate \(l_\infty\) minimization: Speeding up robust regression
     \(\cdot\) F. Shen, C. Shen, R. Hill, A. van den Hengel, Z. Tang.
     \(\cdot\) Computational Statistics and Data Analysis (CSDA), 2014.
     \(\cdot\) arXivbibtexsearch

151. Multiple kernel learning in the primal for multi-modal Alzheimer's disease classification
     \(\cdot\) F. Liu, L. Zhou, C. Shen, J. Yin.
     \(\cdot\) IEEE Journal of Biomedical and Health Informatics (JBHI), 2014.
     \(\cdot\) arXivlinkbibtexsearch

     1. Online published at IEEE: 10 October 2013.

152. Multiple kernel clustering based on centered kernel alignment
     \(\cdot\) Y. Lu, L. Wang, J. Lu, J. Yang, C. Shen.
     \(\cdot\) Pattern Recognition (PR), 2014.
     \(\cdot\) bibtexsearch

153. Efficient semidefinite spectral clustering via Lagrange duality
     \(\cdot\) Y. Yan, C. Shen, H. Wang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2014.
     \(\cdot\) arXivbibtexsearch

154. Large-margin learning of compact binary image encodings
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2014.
     \(\cdot\) arXivbibtexsearch

155. Characterness: An indicator of text in the wild
     \(\cdot\) Y. Li, W. Jia, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2014.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

156. Context-aware hypergraph construction for robust spectral clustering
     \(\cdot\) X. Li, W. Hu, C. Shen, A. Dick, Z. Zhang.
     \(\cdot\) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
     \(\cdot\) arXivlinkbibtexsearch

157. Asymmetric pruning for learning cascade detectors
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Multimedia (TMM), 2014.
     \(\cdot\) arXivlinkbibtexsearch

158. Efficient dual approach to distance metric learning
     \(\cdot\) C. Shen, J. Kim, F. Liu, L. Wang, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
     \(\cdot\) arXivbibtexsearch

159. A scalable stage-wise approach to large-margin multi-class loss based boosting
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
     \(\cdot\) arXivlinkpdfbibtexsearch

160. RandomBoost: Simplified multi-class boosting through randomization
     \(\cdot\) S. Paisitkriangkrai, C. Shen, Q. Shi, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
     \(\cdot\) arXivlinkbibtexsearch

161. A hierarchical word-merging algorithm with class separability measure
     \(\cdot\) L. Wang, L. Zhou, C. Shen, L. Liu, H. Liu.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
     \(\cdot\) pdfbibtexsearch

162. StructBoost: Boosting methods for predicting structured output variables
     \(\cdot\) C. Shen, G. Lin, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
     \(\cdot\) arXivlinkpdfbibtexsearch

163. Training effective node classifiers for cascade classification
     \(\cdot\) C. Shen, P. Wang, S. Paisitkriangkrai, A. van den Hengel.
     \(\cdot\) International Journal of Computer Vision (IJCV), 2013.
     \(\cdot\) arXivlinkbibtexsearch

164. Fully corrective boosting with arbitrary loss and regularization
     \(\cdot\) C. Shen, H. Li, A. van den Hengel.
     \(\cdot\) Neural Networks (NN), 2013.
     \(\cdot\) pdfbibtexsearch

165. Approximate least trimmed sum of squares fitting and applications in image analysis
     \(\cdot\) F. Shen, C. Shen, A. van den Hengel, Z. Tang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2013.
     \(\cdot\) linkpdfbibtexsearch

166. Visual tracking with spatio-temporal Dempster-Shafer information fusion
     \(\cdot\) X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel, H. Wang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2013.
     \(\cdot\) pdfbibtexsearch

167. A survey of appearance models in visual object tracking
     \(\cdot\) X. Li, W. Hu, C. Shen, Z. Zhang, A. Dick, A. van den Hengel.
     \(\cdot\) ACM Transactions on Intelligent Systems and Technology (TIST), 2013.
     \(\cdot\) arXivbibtexsearch

168. Shape similarity analysis by self-tuning locally constrained mixed-diffusion
     \(\cdot\) L. Luo, C. Shen, C. Zhang, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Multimedia (TMM), 2013.
     \(\cdot\) pdfbibtexsearch

169. Incremental learning of 3D-DCT compact representations for robust visual tracking
     \(\cdot\) X. Li, A. Dick, C. Shen, A. van den Hengel, H. Wang.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
     \(\cdot\) arXivlinkpdfbibtexsearchproject webpage

170. Positive semidefinite metric learning using boosting-like algorithms
     \(\cdot\) C. Shen, J. Kim, L. Wang, A. van den Hengel.
     \(\cdot\) Journal of Machine Learning Research (JMLR), 2012.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

171. Fast and robust object detection using asymmetric totally-corrective boosting
     \(\cdot\) P. Wang, C. Shen, N. Barnes, H. Zheng.
     \(\cdot\) IEEE Transactions on Neural Networks and Learning Systems (TNN), 2012.
     \(\cdot\) pdfbibtexsearch

172. UBoost: Boosting with the Universum
     \(\cdot\) C. Shen, P. Wang, F. Shen, H. Wang.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012.
     \(\cdot\) pdfbibtexsearch

173. Efficiently learning a detection cascade with sparse eigenvectors
     \(\cdot\) C. Shen, S. Paisitkriangkrai, J. Zhang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2011.
     \(\cdot\) arXivlinkbibtexsearch

174. Incremental training of a detector using online sparse eigen-decomposition
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2011.
     \(\cdot\) arXivlinkbibtexsearch

175. Interactive color image segmentation with linear programming
     \(\cdot\) H. Li, C. Shen.
     \(\cdot\) Machine Vision and Applications (MVA), 2010.
     \(\cdot\) linkpdfbibtexsearch

176. Generalized kernel-based visual tracking
     \(\cdot\) C. Shen, J. Kim, H. Wang.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2010.
     \(\cdot\) arXivlinkpdfbibtexsearchproject webpage

177. Feature selection with redundancy-constrained class separability
     \(\cdot\) L. Zhou, L. Wang, C. Shen.
     \(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
     \(\cdot\) linkbibtexsearch

178. Boosting through optimization of margin distributions
     \(\cdot\) C. Shen, H. Li.
     \(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
     \(\cdot\) arXivlinkbibtexsearch

179. Scalable large-margin Mahalanobis distance metric learning
     \(\cdot\) C. Shen, J. Kim, L. Wang.
     \(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
     \(\cdot\) arXivlinkbibtexsearch

180. On the dual formulation of boosting algorithms
     \(\cdot\) C. Shen, H. Li.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010.
     \(\cdot\) arXivlinkbibtexsearch

181. Performance evaluation of local features in human classification and detection
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) IET Computer Vision (IETCV), 2008.
     \(\cdot\) linkpdfbibtexsearch

     1. Invited submission, special issue of DICTA2007.

182. Supervised dimensionality reduction via sequential semidefinite programming
     \(\cdot\) C. Shen, H. Li, M. Brooks.
     \(\cdot\) Pattern Recognition (PR), 2008.
     \(\cdot\) linkpdfbibtexsearch

183. Fast pedestrian detection using a cascade of boosted covariance features
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2008.
     \(\cdot\) linkpdfbibtexsearch

184. Fast global kernel density mode seeking: applications to localization and tracking
     \(\cdot\) C. Shen, M. Brooks, A. van den Hengel.
     \(\cdot\) IEEE Transactions on Image Processing (TIP), 2007.
     \(\cdot\) linkpdfbibtexsearch

185. Adaptive object tracking based on an effective appearance filter
     \(\cdot\) H. Wang, D. Suter, K. Schindler, C. Shen.
     \(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2007.
     \(\cdot\) linkpdfbibtexsearch

     1. Featured article of September issue 2007.

186. Active control of radiation from a piston set in a rigid sphere
     \(\cdot\) Z. Lin, J. Lu, C. Shen, X. Qiu, B. Xu.
     \(\cdot\) Journal of Acoustical Society of America (JASA), 2004.
     \(\cdot\) linkpdfbibtexsearch

187. Lattice form adaptive infinite impulse response filtering algorithm for active noise control
     \(\cdot\) J. Lu, C. Shen, X. Qiu, B. Xu.
     \(\cdot\) Journal of Acoustical Society of America (JASA), 2003.
     \(\cdot\) linkpdfbibtexsearch

Conference

1. TG-LLaVA: text guided LLaVA via learnable latent embeddings
   \(\cdot\) D. Yan, P. Li, Y. Li, H. Chen, Q. Chen, W. Luo, W. Dong, Q. Yan, H. Zhang, C. Shen.
   \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’25), 2025.
   \(\cdot\) arXivbibtexsearch

2. SegAgent: exploring pixel understanding capabilities in MLLMs by imitating human annotator trajectories
   \(\cdot\) M. Zhu, Y. Tian, H. Chen, C. Zhou, Q. Guo, Y. Liu, M. Yang, C. Shen.
   \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’25), 2025.
   \(\cdot\) bibtexsearch

3. MovieBench: a hierarchical movie level dataset for long video generation
   \(\cdot\) W. Wu, M. Liu, Z. Zhu, F. Haoen, X. Xia, W. Wang, K. Lin, C. Shen, M. Shou.
   \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’25), 2025.
   \(\cdot\) bibtexsearch

4. Fine-grained abnormality prompt learning for zero-shot anomaly detection
   \(\cdot\) J. Zhu, Y. Ong, C. Shen, G. Pang.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) arXivbibtexsearch

5. Aether: geometric-aware unified world modeling
   \(\cdot\) H. Zhu, Y. Wang, J. Zhou, W. Chang, Y. Zhou, Z. Li, J. Chen, C. Shen, J. Pang, T. He.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) arXivbibtexsearchproject webpage

6. Pomato: marrying pointmap matching with temporal motions for dynamic 3D reconstruction
   \(\cdot\) S. Zhang, Y. Ge, J. Tian, G. Xu, H. Chen, C. Lv, C. Shen.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) arXivbibtexsearchproject webpage

7. Unified open-world segmentation with multi-modal prompts
   \(\cdot\) Y. Liu, Y. Yin, C. Jin, M. Zhu, H. Chen, Y. Xi, B. Feng, H. Wang, S. Li, C. Shen.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) bibtexsearch

8. SurfaceSplat: connecting surface reconstruction and gaussian splatting
   \(\cdot\) Z. Gao, J. Bian, G. Lin, H. Chen, C. Shen.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) bibtexsearch

9. SMSTracker: tri-path score mask sigma fusion for multi-modal tracking
   \(\cdot\) S. Chan, Z. Li, X. Zhang, W. Li, S. Lu, C. Shen.
   \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’25), 2025.
   \(\cdot\) bibtexsearch

10. MovieDreamer: hierarchical generation for coherent long visual sequences
    \(\cdot\) C. Zhao, M. Liu, W. Wang, W. Chen, F. Wang, H. Chen, B. Zhang, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

11. Depth any video with scalable synthetic data
    \(\cdot\) H. Yang, D. Huang, W. Yin, C. Shen, H. Liu, X. He, B. Lin, W. Ouyang, T. Hi.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

12. What matters when repurposing diffusion models for general dense perception tasks?
    \(\cdot\) G. Xu, Y. Ge, M. Liu, C. Fan, K. Xie, Z. Zhao, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

13. Framer: interactive frame interpolation
    \(\cdot\) W. Wang, Q. Wang, K. Zheng, H. Ouyang, Z. Chen, B. Gong, H. Chen, Y. Shen, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

14. Boltzmann-aligned inverse folding model as a predictor of mutational effects on protein-protein interactions
    \(\cdot\) X. Jiao, W. Mao, W. Jin, P. Yang, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

    1. Spotlight presentation.

15. PerturboLLaVA: reducing multimodal hallucinations with perturbative visual training
    \(\cdot\) C. Chen, M. Liu, C. Jing, Y. Zhou, F. Rao, H. Chen, B. Zhang, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

16. Revisiting convolution architecture in the realm of DNA foundation models
    \(\cdot\) Y. Bo, W. Mao, Y. Shao, W. Bai, P. Ye, X. Ma, J. Zhao, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’25), 2025.
    \(\cdot\) bibtexsearch

17. Physics aware neural networks for unsupervised binding energy prediction
    \(\cdot\) K. Liu, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Machine Learning (ICML’25), 2025.
    \(\cdot\) bibtexsearch

18. Omni-R1: reinforcement learning for omnimodal reasoning via two-system collaboration
    \(\cdot\) H. Zhong, M. Zhu, Z. Du, Z. Huang, C. Zhao, M. Liu, W. Wang, H. Chen, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’25), 2025.
    \(\cdot\) bibtexsearch

19. Diception: a generalist diffusion model for visual perceptual tasks
    \(\cdot\) C. Zhao, Y. Sun, M. Liu, H. Zheng, M. Zhu, Z. Zhao, H. Chen, T. He, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’25), 2025.
    \(\cdot\) bibtexsearch

    1. Spotlight presentation.

20. Generative video matting
    \(\cdot\) Y. Ge, K. Xie, G. Xu, M. Liu, L. Ke, L. Huang, H. Xue, H. Chen, C. Shen.
    \(\cdot\) Proc. ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference (SIGGRAPH’25), 2025.
    \(\cdot\) bibtexsearch

21. PointAttN: you only need attention for point cloud completion
    \(\cdot\) J. Wang, Y. Cui, D. Guo, J. Li, Q. Liu, C. Shen.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’24), 2024.
    \(\cdot\) bibtexsearch

22. Retrieval-augmented primitive representations for compositional zero-shot learning
    \(\cdot\) C. Jing, Y. Li, H. Chen, C. Shen.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’24), 2024.
    \(\cdot\) bibtexsearch

23. Traffic scene parsing through the tsp6k dataset
    \(\cdot\) P. Jiang, Y. Yang, Y. Cao, Q. Hou, M. Cheng, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’24), 2024.
    \(\cdot\) bibtexsearch

24. DiverGen: improving instance segmentation by learning wider data distribution with more diverse generative data
    \(\cdot\) C. Fan, M. Zhu, H. Chen, Y. Liu, W. Wu, H. Zhang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’24), 2024.
    \(\cdot\) bibtexsearch

25. FreeCustom: tuning-free customized image generation for multi-concept composition
    \(\cdot\) G. Ding, C. Zhao, W. Wang, Z. Yang, Z. Liu, H. Chen, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’24), 2024.
    \(\cdot\) bibtexsearch

26. LoRAPrune: structured pruning meets low-rank parameter-efficient fine-tuning
    \(\cdot\) M. Zhang, H. Chen, C. Shen, Z. Yang, L. Ou, X. Yu, B. Zhuang.
    \(\cdot\) Proc. Findings of the Association for Computational Linguistics (EACL’24), 2024.
    \(\cdot\) bibtexsearch

27. StableLLaVA: enhanced visual instruction tuning with synthesized image-dialogue data
    \(\cdot\) Y. Li, C. Zhang, G. Yu, Z. Wang, B. Fu, G. Lin, C. Shen, L. Chen, Y. Wei.
    \(\cdot\) Proc. Findings of the Association for Computational Linguistics (EACL’24), 2024.
    \(\cdot\) bibtexsearch

28. VisionLLaMA: a unified llama backbone for vision tasks
    \(\cdot\) X. Chu, J. Su, B. Zhang, C. Shen.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’24), 2024.
    \(\cdot\) bibtexsearchproject webpage

29. FreeCompose: generic zero-shot image composition with diffusion prior
    \(\cdot\) Z. Chen, W. Wang, Z. Yang, Z. Yuan, H. Chen, C. Shen.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’24), 2024.
    \(\cdot\) bibtexsearchproject webpage

30. Object-aware inversion and reassembly for image editing
    \(\cdot\) Z. Yang, D. Gui, W. Wang, H. Chen, B. Zhuang, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’24), 2024.
    \(\cdot\) arXivlinkbibtexsearchproject webpage

31. De novo protein design using geometric vector field networks
    \(\cdot\) W. Mao, M. Zhu, Z. Sun, S. Shen, L. Wu, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’24), 2024.
    \(\cdot\) arXivreviewsbibtexsearch

    1. Spotlight presentation.

32. Matcher: segment anything with one shot using all-purpose feature matching
    \(\cdot\) Y. Liu, M. Zhu, H. Li, H. Chen, X. Wang, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’24), 2024.
    \(\cdot\) arXivlinkbibtexsearch

33. Generative active learning for long-tailed instance segmentation
    \(\cdot\) M. Zhu, C. Fan, H. Chen, Y. Liu, W. Mao, X. Xu, C. Shen.
    \(\cdot\) Proc. International Conference on Machine Learning (ICML’24), 2024.
    \(\cdot\) bibtexsearch

34. Floating anchor diffusion model for multi-motif scaffolding
    \(\cdot\) K. Liu, S. Shen, W. Mao, X. Jiao, Z. Sun, H. Chen, C. Shen.
    \(\cdot\) Proc. International Conference on Machine Learning (ICML’24), 2024.
    \(\cdot\) bibtexsearch

35. On the trajectory regularity of ODE-based diffusion sampling
    \(\cdot\) D. Chen, Z. Zhou, C. Wang, C. Shen, S. Lyu.
    \(\cdot\) Proc. International Conference on Machine Learning (ICML’24), 2024.
    \(\cdot\) bibtexsearch

36. Unleashing the potential of the diffusion model in few-shot semantic segmentation
    \(\cdot\) M. Zhu, Y. Liu, Z. Luo, C. Jing, H. Chen, G. Xu, X. Wang, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’24), 2024.
    \(\cdot\) arXivbibtexsearchproject webpage

37. A simple image segmentation framework via in-context examples
    \(\cdot\) Y. Liu, C. Jing, H. Li, M. Zhu, H. Chen, X. Wang, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’24), 2024.
    \(\cdot\) arXivbibtexsearchproject webpage

38. FoPro: few-shot guided robust webly-supervised prototypical learning
    \(\cdot\) Y. Qin, X. Chen, C. Chen, Y. Shen, B. Ren, Y. Gu, J. Yang, C. Shen.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’23), 2023.
    \(\cdot\) bibtexsearch

39. Point-Teaching: weakly semi-supervised object detection with point annotations
    \(\cdot\) Y. Ge, Q. Zhou, X. Wang, Z. Wang, H. Li, C. Shen.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’23), 2023.
    \(\cdot\) bibtexsearch

40. Images speak in images: a generalist painter for in-context visual learning
    \(\cdot\) X. Wang, W. Wang, Y. Cao, C. Shen, T. Huang.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’23), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

41. Learning conditional attributes for compositional zero-shot learning
    \(\cdot\) Q. Wang, L. Liu, C. Jing, H. Chen, G. Liang, P. Wang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’23), 2023.
    \(\cdot\) bibtexsearch

42. Segprompt: boosting open-world segmentation via category-level prompt learning
    \(\cdot\) M. Zhu, H. Li, H. Chen, C. Fan, W. Mao, C. Jing, Y. Liu, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) bibtexsearch

43. Generative prompt model for weakly supervised object localization
    \(\cdot\) Y. Zhao, Q. Ye, W. Wu, C. Shen, F. Wan.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) arXivbibtexsearch

44. Robust geometry-preserving depth estimation using differentiable rendering
    \(\cdot\) C. Zhang, W. Yin, G. Yu, Z. Wang, T. Chen, B. Fu, J. Zhou, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) bibtexsearch

45. CTVIS: consistent training for online video instance segmentation
    \(\cdot\) K. Ying, Q. Zhong, W. Mao, Z. Wang, H. Chen, L. Wu, Y. Liu, C. Fan, Y. Zhuge, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

46. Metric3D: towards zero-shot metric 3d prediction from a single image
    \(\cdot\) W. Yin, C. Zhang, H. Chen, Z. Cai, G. Yu, K. Wang, X. Chen, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) arXivbibtexsearch

47. Pose-free 3d scene reconstruction with frozen depth models
    \(\cdot\) G. Xu, W. Yin, H. Chen, C. Shen, K. Cheng, F. Zhao.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) bibtexsearch

48. Diffumask: synthesizing images with pixel-level annotations for semantic segmentation using diffusion models
    \(\cdot\) W. Wu, Y. Zhao, M. Shou, H. Zhou, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) arXivbibtexsearch

49. SegGPT: towards segmenting everything in context
    \(\cdot\) X. Wang, X. Zhang, Y. Cao, W. Wang, C. Shen, T. Huang.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) arXivbibtexsearch

50. Zolly: zoom focal length correctly for perspective-distorted human mesh reconstruction
    \(\cdot\) W. Wang, Y. Ge, H. Mei, Z. Cai, Q. Sun, C. Shen, Y. Wang, L. Yang, T. Komura.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’23), 2023.
    \(\cdot\) bibtexsearch

    1. Oral presentation.

51. Conditional positional encodings for vision transformers
    \(\cdot\) X. Chu, Z. Tian, B. Zhang, X. Wang, X. Wei, H. Xia, C. Shen.
    \(\cdot\) Proc. International Conference on Learning Representations (ICLR’23), 2023.
    \(\cdot\) arXivbibtexsearch

52. Deep weakly-supervised anomaly detection
    \(\cdot\) G. Pang, C. Shen, H. Jin, A. van den Hengel.
    \(\cdot\) Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23), 2023.
    \(\cdot\) bibtexsearchproject webpage

53. DatasetDM: synthesizing data with perception annotations using diffusion models
    \(\cdot\) W. Wu, Y. Zhao, H. Chen, Y. Gu, R. Zhao, Y. He, H. Zhou, M. Shou, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’23), 2023.
    \(\cdot\) arXivbibtexsearchproject webpage

54. SPTS: single-point text spotting
    \(\cdot\) D. Peng, X. Wang, Y. Liu, J. Zhang, M. Huang, S. Lai, S. Zhu, J. Li, D. Lin, C. Shen, X. Bai, L. Jin.
    \(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’22), 2022.
    \(\cdot\) arXivbibtexsearch

55. TopFormer: token pyramid transformer for mobile semantic segmentation
    \(\cdot\) W. Zhang, Z. Huang, G. Yu, T. Chen, G. Luo, X. Wang, W. Liu, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) bibtexsearch

56. FreeSOLO: learning to segment objects without annotations
    \(\cdot\) X. Wang, Z. Yu, S. De Mello, J. Kautz, A. Anandkumar, C. Shen, J. Alvarez.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) arXivbibtexsearchproject webpage

57. Retrieval augmented classification for long-tail visual recognition
    \(\cdot\) A. Long, W. Yin, T. Ajanthan, V. Nguyen, P. Purkait, R. Garg, A. Blair, C. Shen, A. van den Hengel.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) arXivbibtexsearch

58. RigidFlow: self-supervised scene flow learning on point clouds by local rigidity prior
    \(\cdot\) R. Li, C. Zhang, G. Lin, Z. Wang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) bibtexsearch

59. Catching both gray and black swans: open-set supervised anomaly detection
    \(\cdot\) C. Ding, G. Pan, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) bibtexsearch

60. Boosting robustness of image matting with context assembling and strong data augmentation
    \(\cdot\) Y. Dai, B. Price, H. Zhang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
    \(\cdot\) arXivbibtexsearch

61. Poseur: direct human pose regression with transformers
    \(\cdot\) W. Mao, Y. Ge, C. Shen, Z. Tian, X. Wang, Z. Wang, A. van den Hengel.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’22), 2022.
    \(\cdot\) arXivbibtexsearchproject webpage

62. PointInst3D: segmenting 3D instances by points
    \(\cdot\) T. He, W. Yin, C. Shen, A. van den Hengel.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’22), 2022.
    \(\cdot\) arXivbibtexsearch

63. DisCo: remedying self-supervised learning on lightweight models with distilled contrastive learning
    \(\cdot\) Y. Gao, J. Zhuang, S. Lin, H. Cheng, X. Sun, K. Li, C. Shen.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’22), 2022.
    \(\cdot\) bibtexsearchproject webpage

    1. Oral presentation.

64. Efficient decoder-free object detection with transformers
    \(\cdot\) P. Chen, M. Zhang, Y. Shen, K. Sheng, Y. Gao, X. Sun, K. Li, C. Shen.
    \(\cdot\) Proc. European Conference on Computer Vision (ECCV’22), 2022.
    \(\cdot\) arXivbibtexsearch

65. DENSE: data-free one-shot federated learning
    \(\cdot\) J. Zhang, C. Chen, B. Li, L. Lyu, S. Wu, S. Ding, C. Shen, C. Wu.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

66. Hierarchical normalization for robust monocular depth estimation
    \(\cdot\) C. Zhang, W. Yin, Z. Wang, G. Yu, B. Fu, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

67. SegViT: semantic segmentation with plain vision transformers
    \(\cdot\) B. Zhang, Z. Tian, Q. Tang, X. Chu, X. Wei, C. Shen, Y. Liu.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

68. Fully convolutional one-stage 3D object detection on LiDAR range images
    \(\cdot\) Z. Tian, X. Chu, X. Wang, X. Wei, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

69. Text-adaptive multiple visual prototype matching for video-text retrieval
    \(\cdot\) C. Lin, A. Wu, J. Liang, J. Zhang, W. Ge, W. Zheng, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

70. Multi-dataset training of transformers for robust action recognition
    \(\cdot\) J. Liang, E. Zhang, J. Zhang, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

71. Adv-attribute: inconspicuous and transferable adversarial attack on face recognition
    \(\cdot\) S. Jia, B. Yin, T. Yao, S. Ding, C. Shen, X. Yang, C. Ma.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

72. PyramidCLIP: hierarchical feature alignment for vision-language model pretraining
    \(\cdot\) Y. Gao, J. Liu, Z. Xu, J. Zhang, K. Li, R. Ji, C. Shen.
    \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
    \(\cdot\) bibtexsearch

73. Diverse knowledge distillation for end-to-end person search
    \(\cdot\) X. Zhang, X. Wang, J. Bian, C. Shen, M. You.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’21), 2021.
    \(\cdot\) bibtexsearch

74. SA-BNN: state-aware binary neural network
    \(\cdot\) C. Liu, P. Chen, B. Zhuang, C. Shen, B. Zhang, W. Ding.
    \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’21), 2021.
    \(\cdot\) bibtexsearch

75. Deep reasoning network for few-shot semantic segmentation
    \(\cdot\) Y. Zhuge, C. Shen.
    \(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’21), 2021.
    \(\cdot\) bibtexsearch

76. Fully quantized image super-resolution networks
    \(\cdot\) H. Wang, P. Chen, B. Zhuang, C. Shen.
    \(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’21), 2021.
    \(\cdot\) arXivbibtexsearch

77. DoDNet: learning to segment multi-organ and tumors from multiple partially labeled datasets
    \(\cdot\) J. Zhang, Y. Xie, Y. Xia, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

78. Learning to recover 3D scene shape from a single image
    \(\cdot\) W. Yin, J. Zhang, O. Wang, S. Niklaus, L. Mai, S. Chen, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

    1. Listed as one of the Best Paper Candidates, 32 out of about 6000 submissions.

79. End-to-end video instance segmentation with Transformers
    \(\cdot\) Y. Wang, Z. Xu, X. Wang, C. Shen, B. Cheng, H. Shen, H. Xia.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearch

    1. Oral presentation.

80. Dense contrastive learning for self-supervised visual pre-training
    \(\cdot\) X. Wang, R. Zhang, C. Shen, T. Kong, L. Li.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

    1. Oral presentation.

81. BoxInst: high-performance instance segmentation with box annotations
    \(\cdot\) Z. Tian, C. Shen, X. Wang, H. Chen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

82. Learning spatial-semantic relationship for facial attribute recognition with limited labeled data
    \(\cdot\) Y. Shu, Y. Yan, S. Chen, J. Xue, C. Shen, H. Wang.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) bibtexsearch

83. Feature decomposition and reconstruction learning for effective facial expression recognition
    \(\cdot\) D. Ruan, Y. Yan, S. Lai, Z. Chai, C. Shen, H. Wang.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) bibtexsearch

84. FCPose: fully convolutional multi-person pose estimation with dynamic instance-aware convolutions
    \(\cdot\) W. Mao, Z. Tian, X. Wang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) bibtexsearchproject webpage

85. Generic perceptual loss for modelling structured output dependencies
    \(\cdot\) Y. Liu, W. Yin, Y. Chen, H. Chen, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) bibtexsearch

86. HCRF-Flow: scene flow from point clouds with continuous high-order CRFs and position-aware flow embedding
    \(\cdot\) R. Li, G. Lin, T. He, F. Liu, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) bibtexsearch

87. DyCo3D: robust instance segmentation of 3d point clouds through dynamic convolution
    \(\cdot\) T. He, C. Shen, A. van den Hengel.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

88. Graph attention tracking
    \(\cdot\) D. Guo, Y. Shao, Y. Cui, Z. Wang, L. Zhang, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

89. Learning affinity-aware upsampling for deep image matting
    \(\cdot\) Y. Dai, H. Lu, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearch

90. AQD: towards accurate quantized object detection
    \(\cdot\) P. Chen, J. Liu, B. Zhuang, M. Tan, C. Shen.
    \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
    \(\cdot\) arXivbibtexsearch

    1. Oral presentation.

91. Meta navigator: search for a good adaptation policy for few-shot learning
    \(\cdot\) C. Zhang, H. Ding, G. Lin, R. Li, C. Wang, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) arXivbibtexsearch

92. A simple baseline for semi-supervised semantic segmentation with strong data augmentation
    \(\cdot\) J. Yuan, Y. Liu, C. Shen, Z. Wang, H. Li.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) arXivbibtexsearch

93. BV-Person: a large-scale dataset for bird-view person re-identification
    \(\cdot\) C. Yan, G. Pang, L. Wang, J. Jiao, X. Feng, C. Shen, J. Li.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) bibtexsearch

94. Occluded person re-identification with single-scale global representations
    \(\cdot\) C. Yan, G. Pang, J. Jiao, X. Bai, X. Feng, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) bibtexsearch

    1. Oral presentation.

95. Channel-wise knowledge distillation for dense prediction
    \(\cdot\) C. Shu, Y. Liu, J. Gao, L. Xu, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) arXivbibtexsearch

96. FATNN: fast and accurate ternary neural networks
    \(\cdot\) P. Chen, B. Zhuang, C. Shen.
    \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’21), 2021.
    \(\cdot\) arXivbibtexsearch

97. FastFlowNet: a lightweight network for fast optical flow estimation
    \(\cdot\) L. Kong, C. Shen, J. Yang.
    \(\cdot\) Proc. International Conference on Robotics and Automation (ICRA’21), 2021.
    \(\cdot\) arXivbibtexsearchproject webpage

98. Toward deep supervised anomaly detection: reinforcement learning from partially labeled anomaly data
    \(\cdot\) G. Pang, A. van den Hengel, C. Shen, L. Cao.
    \(\cdot\) Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’21), 2021.
    \(\cdot\) arXivbibtexsearch

99. CoTr: efficient 3D medical image segmentation by bridging CNN and transformer
    \(\cdot\) Y. Xie, J. Zhang, C. Shen, Y. Xia.
    \(\cdot\) Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’21), 2021.
    \(\cdot\) bibtexsearchproject webpage

100. Dynamic neural representational decoders for high-resolution semantic segmentation
     \(\cdot\) B. Zhang, Y. Liu, Z. Tian, C. Shen.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’21), 2021.
     \(\cdot\) arXivbibtexsearch

101. Twins: revisiting the design of spatial attention in vision transformers
     \(\cdot\) X. Chu, Z. Tian, Y. Wang, B. Zhang, H. Ren, X. Wei, H. Xia, C. Shen.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’21), 2021.
     \(\cdot\) arXivbibtexsearchproject webpage

102. Task-aware monocular depth estimation for 3D object detection
     \(\cdot\) X. Wang, W. Yin, T. Kong, Y. Jiang, L. Li, C. Shen.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’20), 2020.
     \(\cdot\) arXivbibtexsearch

103. V-PROM: a benchmark for visual reasoning using visual progressive matrices
     \(\cdot\) D. Teney, P. Wang, J. Cao, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’20), 2020.
     \(\cdot\) arXivbibtexsearch

104. Training quantized neural networks with a full-precision auxiliary module
     \(\cdot\) B. Zhuang, L. Liu, M. Tan, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

     1. Oral presentation.

105. Mask encoding for single shot instance segmentation
     \(\cdot\) R. Zhang, Z. Tian, C. Shen, M. You, Y. Yan.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

106. Memory-efficient hierarchical neural architecture search for image denoising
     \(\cdot\) H. Zhang, Y. Li, H. Chen, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

107. DeepEMD: few-shot image classification with differentiable earth mover's distance and structured classifiers
     \(\cdot\) C. Zhang, Y. Cai, G. Lin, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation.

108. Context prior for scene segmentation
     \(\cdot\) C. Yu, J. Wang, C. Gao, G. Yu, C. Shen, N. Sang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

109. PolarMask: single shot instance segmentation with polar representation
     \(\cdot\) E. Xie, P. Sun, X. Song, W. Wang, X. Liu, D. Liang, C. Shen, P. Luo.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation.

110. On the general value of evidence, and bilingual scene-text visual question answering
     \(\cdot\) X. Wang, Y. Liu, C. Shen, C. Ng, C. Luo, L. Jin, C. Chan, A. van den Hengel, L. Wang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

111. NAS-FCOS: fast neural architecture search for object detection
     \(\cdot\) N. Wang, Y. Gao, H. Chen, P. Wang, Z. Tian, C. Shen, Y. Zhang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

112. REVERIE: remote embodied visual referring expression in real indoor environments
     \(\cdot\) Y. Qi, Q. Wu, P. Anderson, X. Wang, W. Wang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

     1. Oral presentation.

113. Self-trained deep ordinal regression for end-to-end video anomaly detection
     \(\cdot\) G. Pang, C. Yan, C. Shen, A. van den Hengel, X. Bai.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearch

114. ABCNet: arbitrarily-shaped scene text spotting with adaptive Bezier-curve network in real time
     \(\cdot\) Y. Liu, H. Chen, C. Shen, T. He, L. Jin, L. Wang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation.

115. BlendMask: top-down meets bottom-up for instance segmentation
     \(\cdot\) H. Chen, K. Sun, Z. Tian, C. Shen, Y. Huang, Y. Yan.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation.

116. Representative graph neural network
     \(\cdot\) C. Yu, Y. Liu, C. Gao, C. Shen, N. Sang.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

117. Segmenting transparent objects in the wild
     \(\cdot\) E. Xie, W. Wang, W. Wang, M. Ding, C. Shen, P. Luo.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearch

118. SOLO: segmenting objects by locations
     \(\cdot\) X. Wang, T. Kong, C. Shen, Y. Jiang, L. Li.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

119. Scene text image super-resolution in the wild
     \(\cdot\) W. Wang, E. Xie, X. Liu, W. Wang, D. Liang, C. Shen, X. Bai.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearch

120. AE TextSpotter: learning visual and linguistic representation for ambiguous text spotting
     \(\cdot\) W. Wang, X. Liu, X. Ji, E. Xie, D. Liang, Z. Yang, T. Lu, C. Shen, P. Luo.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
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121. Soft expert reward learning for vision-and-language navigation
     \(\cdot\) H. Wang, Q. Wu, C. Shen.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) bibtexsearch

122. Conditional convolutions for instance segmentation
     \(\cdot\) Z. Tian, C. Shen, H. Chen.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation.

123. Efficient semantic video segmentation with per-frame inference
     \(\cdot\) Y. Liu, C. Shen, C. Yu, J. Wang.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

124. Weighing counts: sequential crowd counting by reinforcement learning
     \(\cdot\) L. Liu, H. Lu, H. Zou, H. Xiong, Z. Cao, C. Shen.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

125. Instance-aware embedding for point cloud instance segmentation
     \(\cdot\) T. He, Y. Liu, C. Shen, X. Wang, C. Sun.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
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126. Learning and memorizing representative prototypes for 3D point cloud semantic and instance segmentation
     \(\cdot\) T. He, D. Gong, Z. Tian, C. Shen.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
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127. Unsupervised representation learning by predicting random distances
     \(\cdot\) H. Wang, G. Pang, C. Shen, C. Ma.
     \(\cdot\) Proc. International Joint Conferences on Artificial Intelligence (IJCAI’20), 2020.
     \(\cdot\) arXivbibtexsearch

128. Pairwise relation learning for semi-supervised gland segmentation
     \(\cdot\) Y. Xie, J. Zhang, Z. Liao, C. Shen, J. Verjans, Y. Xia.
     \(\cdot\) Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’20), 2020.
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129. SOLOv2: dynamic and fast instance segmentation
     \(\cdot\) X. Wang, R. Zhang, T. Kong, L. Li, C. Shen.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’20), 2020.
     \(\cdot\) arXivbibtexsearchproject webpage

130. Show, attend and read: a simple and strong baseline for irregular text recognition
     \(\cdot\) H. Li, P. Wang, C. Shen, G. Zhang.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’19), 2019.
     \(\cdot\) arXivbibtexsearch

131. Deep hashing by discriminating hard examples
     \(\cdot\) C. Yan, G. Pang, X. Bai, C. Shen, J. Zhou, E. Hancock.
     \(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’19), 2019.
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132. Structured binary neural networks for accurate image classification and semantic segmentation
     \(\cdot\) B. Zhuang, C. Shen, M. Tan, L. Liu, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearchproject webpage

133. Mind your neighbours: image annotation with metadata neighbourhood graph co-attention networks
     \(\cdot\) J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
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134. CANet: class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
     \(\cdot\) C. Zhang, G. Lin, F. Liu, R. Yao, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

135. Attention-guided network for ghost-free high dynamic range imaging
     \(\cdot\) Q. Yan, D. Gong, Q. Shi, A. van den Hengel, C. Shen, I. Reid, Y. Zhang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

136. Associatively segmenting instances and semantics in point clouds
     \(\cdot\) X. Wang, S. Liu, X. Shen, C. Shen, J. Jia.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

137. Neighbourhood watch: referring expression comprehension via language-guided graph attention networks
     \(\cdot\) P. Wang, Q. Wu, J. Cao, C. Shen, L. Gao, A. vanden Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

138. Decoders matter for semantic segmentation: data-dependent decoding enables flexible feature aggregation
     \(\cdot\) Z. Tian, T. He, C. Shen, Y. Yan.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

139. Fast neural architecture search of compact semantic segmentation models via auxiliary cells
     \(\cdot\) V. Nekrasov, H. Chen, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

140. Visual question answering as reading comprehension
     \(\cdot\) H. Li, P. Wang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

141. Knowledge adaptation for efficient semantic segmentation
     \(\cdot\) T. He, C. Shen, Z. Tian, D. Gong, C. Sun, Y. Yan.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
     \(\cdot\) arXivbibtexsearch

142. Self-training with progressive augmentation for unsupervised cross-domain person re-identification
     \(\cdot\) X. Zhang, J. Cao, C. Shen, M. You.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearch

143. Exploiting temporal consistency for real-time video depth estimation
     \(\cdot\) H. Zhang, C. Shen, Y. Li, Y. Cao, Y. Liu, Y. Yan.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearch

144. Enforcing geometric constraints of virtual normal for depth prediction
     \(\cdot\) W. Yin, Y. Liu, C. Shen, Y. Yan.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearchproject webpage

145. From open set to closed set: counting objects by spatial divide-and-conquer
     \(\cdot\) H. Xiong, H. Lu, C. Liu, L. Liu, Z. Cao, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearchproject webpage

146. Efficient and accurate arbitrary-shaped text detection with pixel aggregation network
     \(\cdot\) W. Wang, E. Xie, X. Song, Y. Zang, W. Wang, T. Lu, G. Yu, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
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147. FCOS: fully convolutional one-stage object detection
     \(\cdot\) Z. Tian, C. Shen, H. Chen, T. He.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearchproject webpage

148. Indices matter: learning to index for deep image matting
     \(\cdot\) H. Lu, Y. Dai, C. Shen, S. Xu.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
     \(\cdot\) arXivbibtexsearch

149. Real-time joint semantic segmentation and depth estimation using asymmetric annotations
     \(\cdot\) V. Nekrasov, T. Dharmasiri, A. Spek, T. Drummond, C. Shen, I. Reid.
     \(\cdot\) Proc. International Conference on Robotics and Automation (ICRA’19), 2019.
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150. Light-weight hybrid convolutional network for liver tumor segmentation
     \(\cdot\) J. Zhang, Y. Xie, P. Zhang, H. Chen, Y. Xia, C. Shen.
     \(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’19), 2019.
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151. Deep anomaly detection with deviation networks
     \(\cdot\) G. Pang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’19), 2019.
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152. Deep segmentation-emendation model for gland instance segmentation
     \(\cdot\) Y. Xie, H. Lu, J. Zhang, C. Shen, Y. Xia.
     \(\cdot\) Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’19), 2019.
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153. Multi-marginal wasserstein GAN
     \(\cdot\) J. Cao, L. Mo, Y. Zhang, K. Jia, C. Shen, M. Tan.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’19), 2019.
     \(\cdot\) arXivbibtexsearch

154. Unsupervised scale-consistent depth and ego-motion learning from monocular video
     \(\cdot\) J. Bian, Z. Li, N. Wang, H. Zhan, C. Shen, M. Cheng, I. Reid.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’19), 2019.
     \(\cdot\) arXivbibtexsearchproject webpage

155. HCVRD: a benchmark for large-scale human-centered visual relationship detection
     \(\cdot\) B. Zhuang, Q. Wu, C. Shen, I. Reid, A. van den Hengel.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018.
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156. Kill two birds with one stone: weakly-supervised neural network for image annotation and tag refinement
     \(\cdot\) J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018.
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157. Coarse-to-fine: a RNN-based hierarchical attention model for vehicle re-identification
     \(\cdot\) X. Wei, C. Zhang, L. Liu, C. Shen, J. Wu.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’18), 2018.
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158. Deep attention-based classification network for robust depth prediction
     \(\cdot\) R. Li, K. Xian, C. Shen, Z. Cao, H. Lu, L. Hang.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’18), 2018.
     \(\cdot\) arXivbibtexsearch

159. Light-weight refinenet for real-time semantic segmentation
     \(\cdot\) V. Nekrasov, C. Shen, I. Reid.
     \(\cdot\) Proc. British Machine Vision Conference (BMVC’18), 2018.
     \(\cdot\) bibtexsearchproject webpage

160. A hybrid probabilistic model for camera relocalization
     \(\cdot\) M. Cai, C. Shen, I. Reid.
     \(\cdot\) Proc. British Machine Vision Conference (BMVC’18), 2018.
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161. Parallel attention: a unified framework for visual object discovery through dialogs and queries
     \(\cdot\) B. Zhuang, Q. Wu, C. Shen, I. Reid, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearch

162. Towards effective low-bitwidth convolutional neural networks
     \(\cdot\) B. Zhuang, C. Shen, M. Tan, L. Liu, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearch

163. Monocular relative depth perception with web stereo data supervision
     \(\cdot\) K. Xian, C. Shen, Z. Cao, H. Lu, Y. Xiao, R. Li, Z. Luo.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
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164. Are you talking to me? reasoned visual dialog generation through adversarial learning
     \(\cdot\) Q. Wu, P. Wang, C. Shen, I. Reid, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
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165. Repulsion loss: detecting pedestrians in a crowd
     \(\cdot\) X. Wang, T. Xiao, Y. Jiang, S. Shao, J. Sun, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearch

     1. Others have implemented our paper: Repulsion loss in SSD and Repulsion loss in RetinaNet.

166. VITAL: visual tracking via adversarial learning
     \(\cdot\) Y. Song, C. Ma, X. Wu, L. Gong, L. Bao, W. Zuo, C. Shen, R. Lau, M. Yang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearchproject webpage

167. Bootstrapping the performance of webly supervised semantic segmentation
     \(\cdot\) T. Shen, G. Lin, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) bibtexsearchproject webpage

168. Visual question answering with memory-augmented networks
     \(\cdot\) C. Ma, C. Shen, A. Dick, Q. Wu, P. Wang, A. van den Hengel, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearch

169. An end-to-end textspotter with explicit alignment and attention
     \(\cdot\) T. He, Z. Tian, W. Huang, C. Shen, Y. Qiao, C. Sun.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearchproject webpage

170. FSRNet: end-to-end learning face super-resolution with facial priors
     \(\cdot\) Y. Chen, Y. Tai, X. Liu, C. Shen, J. Yang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
     \(\cdot\) arXivbibtexsearchproject webpage

171. Goal-oriented visual question generation via intermediate rewards
     \(\cdot\) J. Zhang, Q. Wu, C. Shen, J. Zhang, J. Lu, A. van den Hengel.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’18), 2018.
     \(\cdot\) arXivbibtexsearch

172. Learning to predict crisp boundaries
     \(\cdot\) R. Deng, C. Shen, S. Liu, H. Wang, X. Liu.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’18), 2018.
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173. Learning deep representations using convolutional auto-encoders with symmetric skip connections
     \(\cdot\) L. Dong, Y. Gan, X. Mao, Y. Yang, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’18), 2018.
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174. Adversarial learning with local coordinate coding
     \(\cdot\) J. Cao, Y. Guo, Q. Wu, C. Shen, J. Huang, M. Tan.
     \(\cdot\) Proc. International Conference on Machine Learning (ICML’18), 2018.
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175. Salient object detection by lossless feature reflection
     \(\cdot\) P. Zhang, W. Liu, H. Lu, C. Shen.
     \(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’18), 2018.
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176. Auxiliary tasks to improve trip hazard affordance detection
     \(\cdot\) S. McMahon, T. Shen, N. Sunderhauf, I. Reid, C. Shen, M. Milford.
     \(\cdot\) Proc. Australasian Conference on Robotics and Automation (ACRA’17), 2017.
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177. Weakly supervised semantic segmentation based on co-segmentation
     \(\cdot\) T. Shen, G. Lin, L. Liu, C. Shen, I. Reid.
     \(\cdot\) Proc. British Machine Vision Conference (BMVC’17), 2017.
     \(\cdot\) arXivbibtexsearch

178. Visually aligned word embeddings for improving zero-shot learning
     \(\cdot\) R. Qiao, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. British Machine Vision Conference (BMVC’17), 2017.
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179. Attend in groups: a weakly-supervised deep learning framework for learning from web data
     \(\cdot\) B. Zhuang, L. Liu, Y. Li, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
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180. The VQA-machine: learning how to use existing vision algorithms to answer new questions
     \(\cdot\) P. Wang, Q. Wu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
     \(\cdot\) arXivbibtexsearch

181. Multi-attention network for one shot learning
     \(\cdot\) P. Wang, L. Liu, C. Shen, Z. Huang, A. van den Hengel, H. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
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182. RefineNet: multi-path refinement networks for high-resolution semantic segmentation
     \(\cdot\) G. Lin, A. Milan, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Light-weight RefineNet with Pytorch code.

183. Sequential person recognition in photo albums with a recurrent network
     \(\cdot\) Y. Li, G. Lin, B. Zhuang, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
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184. From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur
     \(\cdot\) D. Gong, J. Yang, L. Liu, Y. Zhang, I. Reid, C. Shen, A. van den Hengel, Q. Shi.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
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185. Towards context-aware interaction recognition
     \(\cdot\) B. Zhuang, L. Liu, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
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186. When unsupervised domain adaptation meets tensor representations
     \(\cdot\) H. Lu, L. Zhang, Z. Cao, W. Wei, K. Xian, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
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187. Semi-global weighted least squares in image filtering
     \(\cdot\) W. Liu, X. Chen, C. Shen, Z. Liu, J. Yang.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
     \(\cdot\) arXivbibtexsearch

188. Towards end-to-end text spotting with convolutional recurrent neural networks
     \(\cdot\) H. Li, P. Wang, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
     \(\cdot\) arXivbibtexsearch

189. Adversarial PoseNet: a structure-aware convolutional network for human pose estimation
     \(\cdot\) Y. Chen, C. Shen, X. Wei, L. Liu, J. Yang.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
     \(\cdot\) arXivbibtexsearch

190. Deep learning features at scale for visual place recognition
     \(\cdot\) Z. Chen, A. Jacobson, N. Sunderhauf, B. Upcroft, L. Liu, C. Shen, I. Reid, M. Milford.
     \(\cdot\) Proc. IEEE International Conference on Robotics and Automation (ICRA’17), 2017.
     \(\cdot\) arXivbibtexsearch

191. Deep descriptor transforming for image co-localization
     \(\cdot\) X. Wei, C. Zhang, Y. Li, C. Xie, J. Wu, C. Shen, Z. Zhou.
     \(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
     \(\cdot\) arXivbibtexsearch

192. Explicit knowledge-based reasoning for visual question answering
     \(\cdot\) P. Wang, Q. Wu, C. Shen, A. van den Hengel, A. Dick.
     \(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
     \(\cdot\) arXivbibtexsearch

193. Learning multi-level region consistency with dense multi-label networks for semantic segmentation
     \(\cdot\) T. Shen, G. Lin, C. Shen, I. Reid.
     \(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
     \(\cdot\) arXivbibtexsearch

194. Fast training of triplet-based deep binary embedding networks
     \(\cdot\) B. Zhuang, G. Lin, C. Shen, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearchproject webpage

195. Ask me anything: free-form visual question answering based on knowledge from external sources
     \(\cdot\) Q. Wu, P. Wang, C. Shen, A. Dick, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearch

196. What value do explicit high level concepts have in vision to language problems
     \(\cdot\) Q. Wu, C. Shen, L. Liu, A. Dick, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearch

197. What's wrong with that object? identifying irregular object from images by modelling the detection score distribution
     \(\cdot\) P. Wang, L. Liu, C. Shen, Z. Huang, A. van den Hengel, H. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearch

198. Less is more: zero-shot learning from online textual documents with noise suppression
     \(\cdot\) R. Qiao, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearch

199. Efficient piecewise training of deep structured models for semantic segmentation
     \(\cdot\) G. Lin, C. Shen, A. van dan Hengel, I. Reid.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
     \(\cdot\) arXivbibtexsearch

200. Cluster sparsity field for hyperspectral imagery denoising
     \(\cdot\) L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’16), 2016.
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201. Image co-localization by mimicking a good detector's confidence score distribution
     \(\cdot\) Y. Li, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’16), 2016.
     \(\cdot\) arXivbibtexsearch

202. Image restoration using very deep fully convolutional encoder-decoder networks with symmetric skip connections
     \(\cdot\) X. Mao, C. Shen, Y. Yang.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’16), 2016.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

     1. Others have implemented our paper.

203. Efficient SDP inference for fully-connected CRFs based on low-rank decomposition
     \(\cdot\) P. Wang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) arXivbibtexsearch

204. Learning graph structure for multi-label image classification via clique generation
     \(\cdot\) M. Tan, Q. Shi, A. van den Hengel, C. Shen, J. Gao, F. Hu, Z. Zhang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) pdfbibtexsearch

205. Supervised discrete hashing
     \(\cdot\) F. Shen, C. Shen, W. Liu, H. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) pdfbibtexsearchproject webpage

206. Learning to rank in person re-identification with metric ensembles
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) arXivbibtexsearch

207. The treasure beneath convolutional layers: cross convolutional layer pooling for image classification
     \(\cdot\) L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) arXivbibtexsearch

208. Deep convolutional neural fields for depth estimation from a single image
     \(\cdot\) F. Liu, C. Shen, G. Lin.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) arXivbibtexsearchproject webpage

209. Mid-level deep pattern mining
     \(\cdot\) Y. Li, L. Liu, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) arXivbibtexsearchproject webpage

210. Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
     \(\cdot\) B. Li, C. Shen, Y. Dai, A. van den Hengel, M. He.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
     \(\cdot\) pdfbibtexsearch

211. Hyperspectral compressive sensing using manifold-structured sparsity prior
     \(\cdot\) L. Zhang, W. Wei, Y. Zhang, F. Li, C. Shen, Q. Shi.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’15), 2015.
     \(\cdot\) pdfbibtexsearch

212. Deeply learning the messages in message passing inference
     \(\cdot\) G. Lin, C. Shen, I. Reid, A. van den Hengel.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’15), 2015.
     \(\cdot\) arXivpdfbibtexsearch

213. Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition
     \(\cdot\) M. Milford, C. Shen, S. Lowry, N. Suenderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Lerma, B. Upcroft, I. Reid.
     \(\cdot\) Proc. 6th International Workshop on Computer Vision in Vehicle Technology, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVVT’15), 2015.
     \(\cdot\) pdfbibtexsearch

     1. Best paper award (Sponsored by NVIDIA).

214. Fast supervised hashing with decision trees for high-dimensional data
     \(\cdot\) G. Lin, C. Shen, Q. Shi, A. van den Hengel, D. Suter.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’14), 2014.
     \(\cdot\) arXivlinkbibtexsearchproject webpage

215. Strengthening the effectiveness of pedestrian detection with spatially pooled features
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’14), 2014.
     \(\cdot\) arXivbibtexsearchproject webpage

216. Optimizing ranking measures for compact binary code learning
     \(\cdot\) G. Lin, C. Shen, J. Wu.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’14), 2014.
     \(\cdot\) arXivbibtexsearchproject webpage

217. Encoding high dimensional local features by sparse coding based Fisher vectors
     \(\cdot\) L. Liu, C. Shen, L. Wang, A. van den Hengel, C. Wang.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’14), 2014.
     \(\cdot\) arXivbibtexsearch

218. Part-based visual tracking with online latent structural learning
     \(\cdot\) R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
     \(\cdot\) linkpdfbibtexsearchproject webpage

219. Bilinear programming for human activity recognition with unknown MRF graphs
     \(\cdot\) Z. Wang, Q. Shi, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
     \(\cdot\) linkpdfbibtexsearch

220. A fast semidefinite approach to solving binary quadratic problems
     \(\cdot\) P. Wang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
     \(\cdot\) arXivbibtexsearchproject webpage

     1. Oral presentation, 60 out of 1870 submissions.

221. Inductive hashing on manifolds
     \(\cdot\) F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
     \(\cdot\) arXivbibtexsearchproject webpage

222. Learning compact binary codes for visual tracking
     \(\cdot\) X. Li, C. Shen, A. Dick, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
     \(\cdot\) linkpdfbibtexsearch

223. Dictionary learning and sparse coding on Grassmann manifolds: an extrinsic solution
     \(\cdot\) M. Harandi, C. Sanderson, C. Shen, B. Lovell.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
     \(\cdot\) arXivbibtexsearchproject webpage

224. Efficient pedestrian detection by directly optimizing the partial area under the ROC curve
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
     \(\cdot\) arXivpdfbibtexsearch

225. A general two-step approach to learning-based hashing
     \(\cdot\) G. Lin, C. Shen, D. Suter, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
     \(\cdot\) arXivbibtexsearchproject webpage

226. Contextual hypergraph modeling for salient object detection
     \(\cdot\) X. Li, Y. Li, C. Shen, A. Dick, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
     \(\cdot\) arXivbibtexsearchproject webpage

227. Extended depth-of-field via focus stacking and graph cuts
     \(\cdot\) C. Zhang, J. Bastian, C. Shen, A. van den Hengel, T. Shen.
     \(\cdot\) Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
     \(\cdot\) bibtexsearch

228. Approximate constraint generation for efficient structured boosting
     \(\cdot\) G. Lin, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
     \(\cdot\) bibtexsearch

229. Leveraging surrounding context for scene text detection
     \(\cdot\) Y. Li, C. Shen, W. Jia, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
     \(\cdot\) bibtexsearch

230. Learning hash functions using column generation
     \(\cdot\) X. Li, G. Lin, C. Shen, A. van den Hengel, A. Dick.
     \(\cdot\) Proc. International Conference on Machine Learning (ICML’13), 2013.
     \(\cdot\) arXivpdfbibtexsearchproject webpage

     1. Oral presentation.

231. Fast training of effective multi-class boosting using coordinate descent optimization
     \(\cdot\) G. Lin, C. Shen, A. van den Hengel, D. Suter.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’12), 2012.
     \(\cdot\) arXivbibtexsearch

232. Sharing features in multi-class boosting via group sparsity
     \(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012.
     \(\cdot\) pdfbibtexsearch

233. Non-sparse linear representations for visual tracking with online reservoir metric learning
     \(\cdot\) X. Li, C. Shen, Q. Shi, A. Dick, A. van den Hengel.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012.
     \(\cdot\) arXivpdfbibtexsearch

234. Robust tracking with weighted online structured learning
     \(\cdot\) R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’12), 2012.
     \(\cdot\) pdfbibtexsearch

235. Is margin preserved after random projection?
     \(\cdot\) Q. Shi, C. Shen, R. Hill, A. van den Hengel.
     \(\cdot\) Proc. International Conference on Machine Learning (ICML’12), 2012.
     \(\cdot\) arXivlinkbibtexsearch

     1. This work provides an analysis of margin distortion under random projections, the conditions under which margins are preserved, and presents bounds on the margin distortion.

236. Efficiently learning a distance metric for large margin nearest neighbor classification
     \(\cdot\) K. Park, C. Shen, Z. Hao, J. Kim.
     \(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’11), 2011.
     \(\cdot\) bibtexsearch

237. Is face recognition really a compressive sensing problem?
     \(\cdot\) Q. Shi, A. Eriksson, A. van den Hengel, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
     \(\cdot\) pdfbibtexsearch

238. A scalable dual approach to semidefinite metric learning
     \(\cdot\) C. Shen, J. Kim, L. Wang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
     \(\cdot\) pdfbibtexsearch

239. A direct formulation for totally-corrective multi-class boosting
     \(\cdot\) C. Shen, Z. Hao.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
     \(\cdot\) pdfbibtexsearch

240. A generalized probabilistic framework for compact codebook creation
     \(\cdot\) L. Liu, L. Wang, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
     \(\cdot\) pdfbibtexsearch

241. Real-time visual tracking using compressive sensing
     \(\cdot\) H. Li, C. Shen, Q. Shi.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
     \(\cdot\) pdfbibtexsearch

242. Laplacian margin distribution boosting for learning from sparsely labeled data
     \(\cdot\) T. Wang, X. He, C. Shen, N. Barnes.
     \(\cdot\) Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA’11), 2011.
     \(\cdot\) bibtexsearch

243. On the optimality of sequential forward feature selection using class separability measure
     \(\cdot\) L. Wang, C. Shen, R. Hartley.
     \(\cdot\) Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA’11), 2011.
     \(\cdot\) bibtexsearch

244. Graph mode-based contextual kernels for robust SVM tracking
     \(\cdot\) X. Li, A. Dick, H. Wang, C. Shen, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’11), 2011.
     \(\cdot\) pdfbibtexsearch

245. Pyramid center-symmetric local binary, trinary patterns for effective pedestrian detection
     \(\cdot\) Y. Zheng, C. Shen, R. Hartley, X. Huang.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
     \(\cdot\) pdfbibtexsearch

246. Asymmetric totally-corrective boosting for real-time object detection
     \(\cdot\) P. Wang, C. Shen, N. Barnes, H. Zheng, Z. Ren.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
     \(\cdot\) bibtexsearch

     1. Oral presentation.

247. Face detection with effective feature extraction
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
     \(\cdot\) bibtexsearch

248. Totally-corrective multi-class boosting
     \(\cdot\) Z. Hao, C. Shen, N. Barnes, B. Wang.
     \(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
     \(\cdot\) bibtexsearch

249. Rapid face recognition using hashing
     \(\cdot\) Q. Shi, H. Li, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’10), 2010.
     \(\cdot\) pdfbibtexsearch

250. Robust face recognition via accurate face alignment and sparse representation
     \(\cdot\) H. Li, P. Wang, C. Shen.
     \(\cdot\) Proc. International Conference on on Digital Image Computing: Techniques and Applications (DICTA’10), 2010.
     \(\cdot\) bibtexsearch

251. LACBoost and FisherBoost: optimally building cascade classifiers
     \(\cdot\) C. Shen, P. Wang, H. Li.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’10), 2010.
     \(\cdot\) arXivlinkbibtexsearch

252. Improved human detection and classification in thermal images
     \(\cdot\) W. Wang, J. Zhang, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’10), 2010.
     \(\cdot\) bibtexsearch

253. Training a multi-exit cascade with linear asymmetric classification for efficient object detection
     \(\cdot\) P. Wang, C. Shen, H. Zheng, Z. Ren.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’10), 2010.
     \(\cdot\) bibtexsearch

254. Hippocampal shape classification using redundancy constrained feature selection
     \(\cdot\) L. Zhou, L. Wang, C. Shen, N. Barnes.
     \(\cdot\) Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’10), 2010.
     \(\cdot\) bibtexsearch

255. A variant of the trace quotient formulation for dimensionality reduction
     \(\cdot\) P. Wang, C. Shen, H. Zheng, Z. Ren.
     \(\cdot\) Proc. 9th Asian Conference on Computer Vision (ACCV’09), 2009.
     \(\cdot\) bibtexsearch

256. A scalable algorithm for learning a Mahalanobis distance metric
     \(\cdot\) J. Kim, C. Shen, L. Wang.
     \(\cdot\) Proc. 9th Asian Conference on Computer Vision (ACCV’09), 2009.
     \(\cdot\) bibtexsearch

257. Efficiently training a better visual detector with sparse eigenvectors
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’09), 2009.
     \(\cdot\) arXivlinkbibtexsearch

258. A two-layer night-time vehicle detector
     \(\cdot\) W. Wang, C. Shen, J. Zhang, S. Paisitkriangkrai.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’09), 2009.
     \(\cdot\) bibtexsearch

259. Smooth approximation of \(l_\infty\)-norm for multi-view geometry
     \(\cdot\) Y. Dai, H. Li, M. He, C. Shen.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’09), 2009.
     \(\cdot\) bibtexsearch

260. Positive semidefinite metric learning with boosting
     \(\cdot\) C. Shen, J. Kim, L. Wang, A. van den Hengel.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’09), 2009.
     \(\cdot\) arXivpdfbibtexsearchproject webpage

261. Self-calibrating cameras using semidefinite programming
     \(\cdot\) C. Shen, H. Li, M. Brooks.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
     \(\cdot\) linkbibtexsearch

262. Multi-view human motion capture with an improved deformation skin model
     \(\cdot\) Y. Lu, L. Wang, R. Hartley, H. Li, C. Shen.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
     \(\cdot\) bibtexsearch

263. Boosting the minimum margin: LPBoost vs. AdaBoost
     \(\cdot\) H. Li, C. Shen.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
     \(\cdot\) bibtexsearch

264. Learning cascaded reduced-set SVMs using linear programming
     \(\cdot\) J. Kim, C. Shen, L. Wang.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
     \(\cdot\) bibtexsearch

265. A fast algorithm for creating a compact and discriminative visual codebook
     \(\cdot\) L. Wang, L. Zhou, C. Shen.
     \(\cdot\) Proc. European Conference on Computer Vision (ECCV’08), 2008.
     \(\cdot\) linkpdfbibtexsearch

266. Face detection from few training examples
     \(\cdot\) C. Shen, S. Paisitkriangkrai, J. Zhang.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’08), 2008.
     \(\cdot\) linkbibtexsearch

267. PSDBoost: matrix-generation linear programming for positive semidefinite matrices learning
     \(\cdot\) C. Shen, A. Welsh, L. Wang.
     \(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’08), 2008.
     \(\cdot\) pdfbibtexsearch

268. Real-time pedestrian detection using a boosted multi-layer classifier
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) Proc. 8th IEEE International Workshop on Visual Surveillance, in conjunction with European Conference on Computer Vision (ECCVW’08), 2008.
     \(\cdot\) bibtexsearch

269. A convex programming approach to the trace quotient problem
     \(\cdot\) C. Shen, H. Li, M. Brooks.
     \(\cdot\) Proc. 8th Asian Conference on Computer Vision (ACCV’07), 2007.
     \(\cdot\) linkbibtexsearch

270. Kernel-based tracking from a probabilistic viewpoint
     \(\cdot\) Q. Nguyen, A. Robles-Kelly, C. Shen.
     \(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07), 2007.
     \(\cdot\) linkpdfbibtexsearch

271. Feature extraction using sequential semidefinite programming
     \(\cdot\) C. Shen, H. Li, M. Brooks.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
     \(\cdot\) linkbibtexsearch

272. An experimental evaluation of local features for pedestrian classification
     \(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
     \(\cdot\) linkbibtexsearch

     1. Best Paper Award.

273. Color image labelling using linear programming
     \(\cdot\) H. Li, C. Shen, Z. Wen.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
     \(\cdot\) linkbibtexsearch

274. Object-respecting colour image segmentation: an LP approach
     \(\cdot\) H. Li, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’07), 2007.
     \(\cdot\) linkbibtexsearch

275. Classification-based likelihood functions for Bayesian tracking
     \(\cdot\) C. Shen, H. Li, M. Brooks.
     \(\cdot\) Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
     \(\cdot\) linkbibtexsearch

276. Enhanced kernel-based tracking for monochromatic and thermographic video
     \(\cdot\) Q. Nguyen, A. Robles-Kelly, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
     \(\cdot\) linkbibtexsearch

277. An LMI approach for reliable PTZ camera self-calibration
     \(\cdot\) H. Li, C. Shen.
     \(\cdot\) Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
     \(\cdot\) linkbibtexsearch

278. Fast global kernel density mode seeking with application to localisation and tracking
     \(\cdot\) C. Shen, M. Brooks, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’05), 2005.
     \(\cdot\) linkpdfbibtexsearch

     1. Oral presentation, 45 out of 1200 submissions.

279. Visual tracking via efficient kernel discriminant subspace learning
     \(\cdot\) C. Shen, A. van den Hengel, M. Brooks.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’05), 2005.
     \(\cdot\) linkbibtexsearch

280. Augmented particle filtering for efficient visual tracking
     \(\cdot\) C. Shen, M. Brooks, A. van den Hengel.
     \(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’05), 2005.
     \(\cdot\) linkbibtexsearch

281. Adaptive over-relaxed mean shift
     \(\cdot\) C. Shen, M. Brooks.
     \(\cdot\) Proc. 8th International Symposium on Signal Processing and Its Applications (ISSPA’05), 2005.
     \(\cdot\) linkbibtexsearch

     1. Errata: in figure 3 square marker and circle marker should be swapped.

282. Enhanced importance sampling: unscented auxiliary particle filtering for visual tracking
     \(\cdot\) C. Shen, A. van den Hengel, A. Dick, M. Brooks.
     \(\cdot\) Proc. Australian Joint Conference on Artificial Intelligence (AI’04), 2004.
     \(\cdot\) linkbibtexsearch

283. 2D articulated tracking with dynamic Bayesian networks
     \(\cdot\) C. Shen, A. van den Hengel, A. Dick, M. Brooks.
     \(\cdot\) Proc. International Conference on Computer and Information Technology (CIT’04), 2004.
     \(\cdot\) linkbibtexsearch

284. Probabilistic multiple cue integration for particle filter based tracking
     \(\cdot\) C. Shen, A. van den Hengel, A. Dick.
     \(\cdot\) Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’03), 2003.
     \(\cdot\) pdfbibtexsearch

     1. Nominated for Best Student Paper Award.

Other

1. Semidefinite programming (book chapter in: encyclopedia of computer vision, springer)
   \(\cdot\) C. Shen, A. van den Hengel.
   \(\cdot\) 2012.
   \(\cdot\) bibtexsearch

2. Proceedings of international conference on digital image computing: techniques and applications
   \(\cdot\) J. Zhang, C. Shen, G. Geers, Q. Wu.
   \(\cdot\) Editors, IEEE, 2010.
   \(\cdot\) bibtexsearch