Publications (Full List)

Categorised by venue , by year . 446 papers.

Google scholar (79159 citations) , DBLP , arXiv .

2024

Journal

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv reviews bibtex google scholar semantic scholar
1. Spotlight presentation.
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

2023

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Super vision transformer
\(\cdot\) M. Lin, M. Chen, Y. Zhang, C. Shen, R. Ji, L. Cao.
\(\cdot\) International Journal of Computer Vision (IJCV), 2023.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

2022

Journal

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
TopFormer: token pyramid transformer for mobile semantic segmentation
\(\cdot\) W. Zhang, Z. Huang, G. Yu, T. Chen, G. Luo, X. Wang, W. Liu, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Catching both gray and black swans: open-set supervised anomaly detection
\(\cdot\) C. Ding, G. Pan, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
DENSE: data-free one-shot federated learning
\(\cdot\) J. Zhang, C. Chen, B. Li, L. Lyu, S. Wu, S. Ding, C. Shen, C. Wu.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
Hierarchical normalization for robust monocular depth estimation
\(\cdot\) C. Zhang, W. Yin, Z. Wang, G. Yu, B. Fu, C. Shen.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
SegViT: semantic segmentation with plain vision transformers
\(\cdot\) B. Zhang, Z. Tian, Q. Tang, X. Chu, X. Wei, C. Shen, Y. Liu.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
Fully convolutional one-stage 3D object detection on LiDAR range images
\(\cdot\) Z. Tian, X. Chu, X. Wang, X. Wei, C. Shen.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
Text-adaptive multiple visual prototype matching for video-text retrieval
\(\cdot\) C. Lin, A. Wu, J. Liang, J. Zhang, W. Ge, W. Zheng, C. Shen.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
Multi-dataset training of transformers for robust action recognition
\(\cdot\) J. Liang, E. Zhang, J. Zhang, C. Shen.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
Adv-attribute: inconspicuous and transferable adversarial attack on face recognition
\(\cdot\) S. Jia, B. Yin, T. Yao, S. Ding, C. Shen, X. Yang, C. Ma.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar
PyramidCLIP: hierarchical feature alignment for vision-language model pretraining
\(\cdot\) Y. Gao, J. Liu, Z. Xu, J. Zhang, K. Li, R. Ji, C. Shen.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’22), 2022.
\(\cdot\) bibtex google scholar semantic scholar

2021

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
Learning discriminative region representation for person retrieval
\(\cdot\) Y. Zhao, X. Yu, Y. Gao, C. Shen.
\(\cdot\) Pattern Recognition (PR), 2021.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
An adversarial human pose estimation network injected with graph structure
\(\cdot\) L. Tian, P. Wang, G. Liang, C. Shen.
\(\cdot\) Pattern Recognition (PR), 2021.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar

Conference

Diverse knowledge distillation for end-to-end person search
\(\cdot\) X. Zhang, X. Wang, J. Bian, C. Shen, M. You.
\(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
SA-BNN: state-aware binary neural network
\(\cdot\) C. Liu, P. Chen, B. Zhuang, C. Shen, B. Zhang, W. Ding.
\(\cdot\) Proc. AAAI Conference on Artificial Intelligence (AAAI’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
Deep reasoning network for few-shot semantic segmentation
\(\cdot\) Y. Zhuge, C. Shen.
\(\cdot\) Proc. ACM International Conference on Multimedia (ACMMM’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Listed as one of the Best Paper Candidates, 32 out of about 6000 submissions.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
Learning spatial-semantic relationship for facial attribute recognition with limited labeled data
\(\cdot\) Y. Shu, Y. Yan, S. Chen, J. Xue, C. Shen, H. Wang.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
Feature decomposition and reconstruction learning for effective facial expression recognition
\(\cdot\) D. Ruan, Y. Yan, S. Lai, Z. Chai, C. Shen, H. Wang.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
Generic perceptual loss for modelling structured output dependencies
\(\cdot\) Y. Liu, W. Yin, Y. Chen, H. Chen, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
HCRF-Flow: scene flow from point clouds with continuous high-order CRFs and position-aware flow embedding
\(\cdot\) R. Li, G. Lin, T. He, F. Liu, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), 2021.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

2020

Journal

Deep learning for anomaly detection: a review
\(\cdot\) G. Pang, C. Shen, L. Cao, A. van den Hengel.
\(\cdot\) ACM Computing Surveys (ACMSurvey), 2020.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Towards light-weight portrait matting via parameter sharing
\(\cdot\) Y. Dai, H. Lu, C. Shen.
\(\cdot\) Computer Graphics Forum (CGF), 2020.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
MobileFAN: transferring deep hidden representation for face alignment
\(\cdot\) Y. Zhao, Y. Liu, C. Shen, Y. Gao, S. Xiong.
\(\cdot\) Pattern Recognition (PR), 2020.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
Index networks
\(\cdot\) H. Lu, Y. Dai, C. Shen, S. Xu.
\(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Conditional convolutions for instance segmentation
\(\cdot\) Z. Tian, C. Shen, H. Chen.
\(\cdot\) Proc. European Conference on Computer Vision (ECCV’20), 2020.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

2019

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
Heritage image annotation via collective knowledge
\(\cdot\) J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu, Q. Wu.
\(\cdot\) Pattern Recognition (PR), 2019.
\(\cdot\) bibtex google scholar semantic scholar
Wider or deeper: revisiting the ResNet model for visual recognition
\(\cdot\) Z. Wu, C. Shen, A. van den Hengel.
\(\cdot\) Pattern Recognition (PR), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Order-aware convolutional pooling for video based action recognition
\(\cdot\) P. Wang, L. Liu, C. Shen, H. Shen.
\(\cdot\) Pattern Recognition (PR), 2019.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Attention residual learning for skin lesion classification
\(\cdot\) J. Zhang, Y. Xie, Y. Xia, C. Shen.
\(\cdot\) IEEE Transactions on Medical Imaging (TMI), 2019.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar project webpage
1. Pytorch code is here.

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link bibtex google scholar semantic scholar
CANet: class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
\(\cdot\) C. Zhang, G. Lin, F. Liu, R. Yao, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Attention-guided network for ghost-free high dynamic range imaging
\(\cdot\) Q. Yan, D. Gong, Q. Shi, A. van den Hengel, C. Shen, I. Reid, Y. Zhang.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Associatively segmenting instances and semantics in point clouds
\(\cdot\) X. Wang, S. Liu, X. Shen, C. Shen, J. Jia.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Neighbourhood watch: referring expression comprehension via language-guided graph attention networks
\(\cdot\) P. Wang, Q. Wu, J. Cao, C. Shen, L. Gao, A. vanden Hengel.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Fast neural architecture search of compact semantic segmentation models via auxiliary cells
\(\cdot\) V. Nekrasov, H. Chen, C. Shen, I. Reid.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Knowledge adaptation for efficient semantic segmentation
\(\cdot\) T. He, C. Shen, Z. Tian, D. Gong, C. Sun, Y. Yan.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Exploiting temporal consistency for real-time video depth estimation
\(\cdot\) H. Zhang, C. Shen, Y. Li, Y. Cao, Y. Liu, Y. Yan.
\(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
Indices matter: learning to index for deep image matting
\(\cdot\) H. Lu, Y. Dai, C. Shen, S. Xu.
\(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Multi-marginal wasserstein GAN
\(\cdot\) J. Cao, L. Mo, Y. Zhang, K. Jia, C. Shen, M. Tan.
\(\cdot\) Proc. Advances in Neural Information Processing Systems (NeurIPS’19), 2019.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage

2018

Journal

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.
\(\cdot\) pdf bibtex google scholar semantic scholar
Reading car license plates using deep neural networks
\(\cdot\) H. Li, P. Wang, M. You, C. Shen.
\(\cdot\) Image and Vision Computing (IVC), 2018.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Deep attention-based classification network for robust depth prediction
\(\cdot\) R. Li, K. Xian, C. Shen, Z. Cao, H. Lu, L. Hang.
\(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’18), 2018.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Light-weight refinenet for real-time semantic segmentation
\(\cdot\) V. Nekrasov, C. Shen, I. Reid.
\(\cdot\) Proc. British Machine Vision Conference (BMVC’18), 2018.
\(\cdot\) bibtex google scholar semantic scholar project webpage
A hybrid probabilistic model for camera relocalization
\(\cdot\) M. Cai, C. Shen, I. Reid.
\(\cdot\) Proc. British Machine Vision Conference (BMVC’18), 2018.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Repulsion loss: detecting pedestrians in a crowd
\(\cdot\) X. Wang, T. Xiao, Y. Jiang, S. Shao, J. Sun, C. Shen.
\(\cdot\) Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
\(\cdot\) arXiv bibtex google scholar semantic scholar
1. Others have implemented our paper: Repulsion loss in SSD and Repulsion loss in RetinaNet.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar

2017

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Light-weight RefineNet with Pytorch code.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
Semi-global weighted least squares in image filtering
\(\cdot\) W. Liu, X. Chen, C. Shen, Z. Liu, J. Yang.
\(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Deep learning features at scale for visual place recognition
\(\cdot\) Z. Chen, A. Jacobson, N. Sunderhauf, B. Upcroft, L. Liu, C. Shen, I. Reid, M. Milford.
\(\cdot\) Proc. IEEE International Conference on Robotics and Automation (ICRA’17), 2017.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Deep descriptor transforming for image co-localization
\(\cdot\) X. Wei, C. Zhang, Y. Li, C. Xie, J. Wu, C. Shen, Z. Zhou.
\(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Explicit knowledge-based reasoning for visual question answering
\(\cdot\) P. Wang, Q. Wu, C. Shen, A. van den Hengel, A. Dick.
\(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Learning multi-level region consistency with dense multi-label networks for semantic segmentation
\(\cdot\) T. Shen, G. Lin, C. Shen, I. Reid.
\(\cdot\) Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
\(\cdot\) arXiv bibtex google scholar semantic scholar

2016

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
Unsupervised feature learning for dense correspondences across scenes
\(\cdot\) C. Zhang, C. Shen, T. Shen.
\(\cdot\) International Journal of Computer Vision (IJCV), 2016.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
Face image classification by pooling raw features
\(\cdot\) F. Shen, C. Shen, X. Zhou, Y. Yang, H. Shen.
\(\cdot\) Pattern Recognition (PR), 2016.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
Face recognition using linear representation ensembles
\(\cdot\) H. Li, F. Shen, C. Shen, Y. Yang, Y. Gao.
\(\cdot\) Pattern Recognition (PR), 2016.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
1. Others have implemented our paper.

2015

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
CRF learning with CNN features for image segmentation
\(\cdot\) F. Liu, G. Lin, C. Shen.
\(\cdot\) Pattern Recognition (PR), 2015.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
Hyperspectral compressive sensing using manifold-structured sparsity prior
\(\cdot\) L. Zhang, W. Wei, Y. Zhang, F. Li, C. Shen, Q. Shi.
\(\cdot\) Proc. IEEE International Conference on Computer Vision (ICCV’15), 2015.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
1. Best paper award (Sponsored by NVIDIA).

2014

Journal

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
1. Online published at IEEE: 10 October 2013.
Multiple kernel clustering based on centered kernel alignment
\(\cdot\) Y. Lu, L. Wang, J. Lu, J. Yang, C. Shen.
\(\cdot\) Pattern Recognition (PR), 2014.
\(\cdot\) bibtex google scholar semantic scholar
Efficient semidefinite spectral clustering via Lagrange duality
\(\cdot\) Y. Yan, C. Shen, H. Wang.
\(\cdot\) IEEE Transactions on Image Processing (TIP), 2014.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
Asymmetric pruning for learning cascade detectors
\(\cdot\) S. Paisitkriangkrai, C. Shen, A. van den Hengel.
\(\cdot\) IEEE Transactions on Multimedia (TMM), 2014.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar

2013

Journal

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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
Fully corrective boosting with arbitrary loss and regularization
\(\cdot\) C. Shen, H. Li, A. van den Hengel.
\(\cdot\) Neural Networks (NN), 2013.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link pdf bibtex google scholar semantic scholar project webpage

Conference

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.
\(\cdot\) link pdf bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
1. Oral presentation, 60 out of 1870 submissions.
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) arXiv bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv pdf bibtex google scholar semantic scholar project webpage
1. Oral presentation.

2012

Journal

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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar project webpage
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) arXiv bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.

Other

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

2011

Journal

Efficiently learning a detection cascade with sparse eigenvectors
\(\cdot\) C. Shen, S. Paisitkriangkrai, J. Zhang.
\(\cdot\) IEEE Transactions on Image Processing (TIP), 2011.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar

2010

Journal

Interactive color image segmentation with linear programming
\(\cdot\) H. Li, C. Shen.
\(\cdot\) Machine Vision and Applications (MVA), 2010.
\(\cdot\) link pdf bibtex google scholar semantic scholar
Generalized kernel-based visual tracking
\(\cdot\) C. Shen, J. Kim, H. Wang.
\(\cdot\) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2010.
\(\cdot\) arXiv link pdf bibtex google scholar semantic scholar project webpage
Feature selection with redundancy-constrained class separability
\(\cdot\) L. Zhou, L. Wang, C. Shen.
\(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
\(\cdot\) link bibtex google scholar semantic scholar
Boosting through optimization of margin distributions
\(\cdot\) C. Shen, H. Li.
\(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
Scalable large-margin Mahalanobis distance metric learning
\(\cdot\) C. Shen, J. Kim, L. Wang.
\(\cdot\) IEEE Transactions on Neural Networks (TNN), 2010.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
On the dual formulation of boosting algorithms
\(\cdot\) C. Shen, H. Li.
\(\cdot\) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010.
\(\cdot\) arXiv link bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
1. Oral presentation.
Face detection with effective feature extraction
\(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
\(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
\(\cdot\) bibtex google scholar semantic scholar
Totally-corrective multi-class boosting
\(\cdot\) Z. Hao, C. Shen, N. Barnes, B. Wang.
\(\cdot\) Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
LACBoost and FisherBoost: optimally building cascade classifiers
\(\cdot\) C. Shen, P. Wang, H. Li.
\(\cdot\) Proc. European Conference on Computer Vision (ECCV’10), 2010.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar

Other

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

2009

Conference

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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv link bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) arXiv pdf bibtex google scholar semantic scholar project webpage

2008

Journal

Performance evaluation of local features in human classification and detection
\(\cdot\) S. Paisitkriangkrai, C. Shen, J. Zhang.
\(\cdot\) IET Computer Vision (IETCV), 2008.
\(\cdot\) link pdf bibtex google scholar semantic scholar
1. Invited submission, special issue of DICTA2007.
Supervised dimensionality reduction via sequential semidefinite programming
\(\cdot\) C. Shen, H. Li, M. Brooks.
\(\cdot\) Pattern Recognition (PR), 2008.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
Face detection from few training examples
\(\cdot\) C. Shen, S. Paisitkriangkrai, J. Zhang.
\(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’08), 2008.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) pdf bibtex google scholar semantic scholar
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.
\(\cdot\) bibtex google scholar semantic scholar

2007

Journal

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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
1. Featured article of September issue 2007.

Conference

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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
1. Best Paper Award.
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.
\(\cdot\) link bibtex google scholar semantic scholar
Object-respecting colour image segmentation: an LP approach
\(\cdot\) H. Li, C. Shen.
\(\cdot\) Proc. IEEE International Conference on Image Processing (ICIP’07), 2007.
\(\cdot\) link bibtex google scholar semantic scholar

2006

Conference

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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar

2005

Conference

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.
\(\cdot\) link pdf bibtex google scholar semantic scholar
1. Oral presentation, 45 out of 1200 submissions.
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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar
Adaptive over-relaxed mean shift
\(\cdot\) C. Shen, M. Brooks.
\(\cdot\) Proc. 8th International Symposium on Signal Processing and Its Applications (ISSPA’05), 2005.
\(\cdot\) link bibtex google scholar semantic scholar
1. Errata: in figure 3 square marker and circle marker should be swapped.

2004

Journal

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.
\(\cdot\) link pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) link bibtex google scholar semantic scholar
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.
\(\cdot\) link bibtex google scholar semantic scholar

2003

Journal

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.
\(\cdot\) link pdf bibtex google scholar semantic scholar

Conference

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.
\(\cdot\) pdf bibtex google scholar semantic scholar
1. Nominated for Best Student Paper Award.