Publications (Full List)

Google scholar (88411 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. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. 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

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

41. 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

42. 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

43. 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

44. 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

45. 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

46. 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

47. 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

48. 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

49. 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

50. 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

51. 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

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

53. 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

54. 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

55. 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

56. 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

57. 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

58. 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

59. 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

60. 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

61. 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

62. 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

63. 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

64. 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

65. 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

66. 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

67. 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

68. 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

69. 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

70. 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

71. 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

72. 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

73. 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

74. 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

75. 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

76. 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

77. 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

78. 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

79. 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

80. 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

81. 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

82. 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

83. 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

84. 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

85. 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

86. 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

87. 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

88. 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

89. 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

90. 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

91. 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.

92. 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

93. 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

94. 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

95. 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

96. 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

97. 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

98. 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

99. 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

100. 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

101. 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

102. 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

103. 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

104. 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

105. 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

106. 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

107. 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

108. 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

109. 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

110. 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

111. 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

112. 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

113. 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

114. 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

115. 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

116. 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

117. 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

118. 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

119. 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

120. 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

121. 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

122. 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

123. 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

124. 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

125. 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

126. 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

127. 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

128. 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

129. 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

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

131. 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

132. 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

133. 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

134. 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

135. 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

136. 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

137. 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

138. 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

139. 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

140. 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

141. 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

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

143. 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

144. 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

145. 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

146. 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

147. 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

148. 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.

149. 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

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

151. 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

152. 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

153. 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

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

155. 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

156. 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

157. 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

158. 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

159. 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

160. 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

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

162. 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

163. 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

164. 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

165. 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

166. 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

167. 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

168. 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

169. 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

170. 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

171. 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

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

173. 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

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

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

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

177. 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

178. 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.

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

180. 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

181. 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

182. 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.

183. 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

184. 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. 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

5. 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

6. 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

7. 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

8. 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.

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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.

24. 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

25. 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

26. 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

27. 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

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. 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

40. 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

41. 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

42. 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.

43. 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

44. 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

45. 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

46. 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

47. 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.
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48. 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

49. 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

50. 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

51. 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.
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52. 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

53. 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

54. 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

55. 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.

56. 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

57. 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.
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58. 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.
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59. 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.
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60. 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.
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61. 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.
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62. 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.
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63. 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.
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64. 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.
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65. 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.
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66. 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.
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67. Deep reasoning network for few-shot semantic segmentation
    \(\cdot\) Y. Zhuge, C. Shen.
    \(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’21), 2021.
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68. 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

69. 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

70. 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.

71. 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.

72. 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.

73. 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

74. 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.
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75. 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.
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76. 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

77. 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.
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78. 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.
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79. 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

80. 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

81. 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

82. 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.

83. 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

84. 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

85. 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

86. 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.

87. 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

88. 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

89. 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

90. 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

91. 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

92. 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

93. 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

94. 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

95. 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

96. 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.

97. 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

98. 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

99. 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.

100. 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

101. 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.

102. 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

103. 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

104. 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.

105. 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

106. 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.

107. 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.

108. 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

109. 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

110. 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

111. 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

112. 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.
     \(\cdot\) bibtexsearch

113. 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

114. 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.

115. 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

116. 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

117. 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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118. 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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119. 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

120. 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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121. 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

122. 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

123. 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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124. 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

125. 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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126. 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.
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127. 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.
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128. 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.
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129. 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.
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130. 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

131. 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.
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132. 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

133. 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.
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134. 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

135. 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.
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136. 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

137. 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

138. 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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139. 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

140. 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.
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141. 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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142. 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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143. 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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144. 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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145. 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.
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146. 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

147. 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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148. 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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149. 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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150. 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.
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151. Light-weight refinenet for real-time semantic segmentation
     \(\cdot\) V. Nekrasov, C. Shen, I. Reid.
     \(\cdot\) Proc. British Machine Vision Conference (BMVC’18), 2018.
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152. 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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153. 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

154. 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

155. 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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156. 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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157. 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.
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     1. Others have implemented our paper: Repulsion loss in SSD and Repulsion loss in RetinaNet.

158. 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

159. 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

160. 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

161. 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

162. 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

163. 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

164. 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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165. 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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166. 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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167. 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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168. 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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169. 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

170. 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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171. 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.
     \(\cdot\) arXivbibtexsearch

172. 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

173. 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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174. 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.

175. 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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176. 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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177. 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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178. 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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179. 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.
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180. 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

181. 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

182. 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.
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183. 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.
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184. 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.
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185. 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.
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186. 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

187. 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

188. 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

189. 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

190. 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

191. 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

192. 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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193. 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

194. 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.

195. 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

196. 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

197. 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

198. 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

199. 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

200. 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

201. 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

202. 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

203. 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.
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204. 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

205. 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).

206. 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

207. 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

208. 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

209. 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

210. 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

211. 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

212. 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.

213. 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

214. 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

215. 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

216. 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

217. 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

218. 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

219. 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

220. 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

221. 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

222. 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.

223. 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

224. 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

225. 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

226. 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

227. 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.

228. 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

229. 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

230. 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

231. 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

232. 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

233. 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

234. 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

235. 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

236. 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

237. 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

238. 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.

239. 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

240. 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

241. 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

242. 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

243. 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

244. 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

245. 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

246. 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

247. 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

248. 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

249. 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

250. 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

251. 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

252. 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

253. 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

254. 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

255. 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

256. 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

257. 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

258. 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

259. 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

260. 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

261. 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

262. 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

263. 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

264. 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.

265. 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

266. 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

267. 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

268. 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

269. 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

270. 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.

271. 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

272. 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

273. 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.

274. 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

275. 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

276. 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