Selected Publications

Google scholar (20373 citations) , DBLP , arXiv .

Journal: 35

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI): 25

International Journal of Computer Vision (IJCV): 8

Journal of Machine Learning Research (JMLR): 1

ACM Transactions on Graphics (TOG): 1


  1. 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 arXivlinkbibtexscholarproject webpage

  2. 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 bibtexscholarproject webpage

  3. 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 arXivlinkbibtexscholar

  4. 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 arXivlinkbibtexscholarproject webpage

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

  6. 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 arXivlinkbibtexscholarproject webpage

  7. 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 linkbibtexscholar

  8. 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 arXivbibtexscholarproject webpage

  9. 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 linkbibtexscholarproject webpage

    1. Pytorch code is here.

  10. 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 pdfbibtexscholar

  11. 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 pdfbibtexscholar

  12. 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 arXivbibtexscholar

  13. 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 arXivbibtexscholarproject webpage

  14. 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 arXivbibtexscholar

  15. 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 arXivlinkbibtexscholar

  16. 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 arXivbibtexscholar

  17. 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 arXivbibtexscholar

  18. 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 arXivlinkbibtexscholarproject webpage

  19. 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 arXivlinkbibtexscholar

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

  21. 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 arXivbibtexscholar

  22. 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 arXivlinkbibtexscholarproject webpage

  23. 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 arXivlinkbibtexscholar

  24. 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 arXivlinkbibtexscholarproject webpage

  25. 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 arXivlinkbibtexscholar

  26. 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 arXivbibtexscholarproject webpage

  27. 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 arXivlinkbibtexscholarproject webpage

  28. 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 arXivlinkpdfbibtexscholar

  29. 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 pdfbibtexscholar

  30. 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 arXivlinkbibtexscholar

  31. 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 arXivlinkpdfbibtexscholarproject webpage

  32. 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 arXivlinkbibtexscholarproject webpage

  33. 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 pdfbibtexscholar

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

  35. 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 linkpdfbibtexscholar

    1. Featured article of September issue 2007.

Conference: 117

Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 68

Proc. IEEE International Conference on Computer Vision (ICCV): 19

Proc. European Conference on Computer Vision (ECCV): 20

Proc. International Conference on Machine Learning (ICML): 3

Proc. Advances in Neural Information Processing Systems (NeurIPS): 7


  1. 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 arXivbibtexscholarproject webpage

    1. Oral presentation.

  2. 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 arXivbibtexscholarproject webpage

    1. Oral presentation.

  3. 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 arXivbibtexscholar

  4. 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 arXivbibtexscholar

    1. Oral presentation.

  5. 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 arXivbibtexscholarproject webpage

  6. 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 arXivbibtexscholar

  7. 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 arXivbibtexscholarproject webpage

    1. Oral presentation.

  8. 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 arXivbibtexscholar

  9. 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 arXivbibtexscholarproject webpage

    1. Oral presentation.

  10. 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 arXivbibtexscholar

  11. 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 arXivbibtexscholarproject webpage

  12. Training quantized neural networks with the 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 arXivbibtexscholar

    1. Oral presentation.

  13. 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 bibtexscholar

  14. 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 bibtexscholar

  15. Weighting 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 bibtexscholar

  16. 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 arXivbibtexscholarproject webpage

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

    1. Oral presentation.

  18. 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 bibtexscholar

  19. 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 bibtexscholar

  20. 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 arXivbibtexscholar

  21. 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 arXivbibtexscholarproject webpage

  22. 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 arXivbibtexscholar

  23. 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 bibtexscholar

  24. 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 arXivbibtexscholar

  25. 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 arXivbibtexscholar

  26. 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 arXivbibtexscholar

  27. 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 arXivbibtexscholar

  28. 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 arXivbibtexscholar

  29. 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 arXivbibtexscholar

  30. 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 arXivbibtexscholar

  31. 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 arXivbibtexscholar

  32. 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 linkbibtexscholar

  33. 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 arXivbibtexscholarproject webpage

  34. 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 arXivbibtexscholar

  35. 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 arXivbibtexscholarproject webpage

  36. 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 bibtexscholar

  37. 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 arXivbibtexscholarproject webpage

  38. 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 arXivbibtexscholarproject webpage

  39. 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 arXivbibtexscholar

  40. 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 arXivbibtexscholar

  41. 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 arXivbibtexscholarproject webpage

  42. 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 arXivbibtexscholar

  43. 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 arXivbibtexscholarproject webpage

  44. 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 arXivbibtexscholarproject webpage

  45. 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 arXivbibtexscholar

  46. 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 bibtexscholarproject webpage

  47. 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 arXivbibtexscholarproject webpage

  48. 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 arXivbibtexscholar

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

  49. 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 arXivbibtexscholar

  50. 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 bibtexscholar

  51. 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 arXivbibtexscholar

  52. 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 arXivbibtexscholar

  53. 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 arXivbibtexscholar

  54. 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 arXivbibtexscholar

  55. 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 arXivbibtexscholar

  56. 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 arXivbibtexscholar

  57. 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 arXivbibtexscholar

  58. 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 arXivbibtexscholarproject webpage

    1. Light-weight RefineNet with Pytorch code.

  59. 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 pdfbibtexscholar

  60. 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 arXivbibtexscholar

  61. 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 arXivbibtexscholar

  62. 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 arXivbibtexscholar

  63. 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 arXivbibtexscholar

  64. 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 arXivbibtexscholar

  65. 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 bibtexscholar

  66. 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 arXivbibtexscholar

  67. 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 arXivbibtexscholar

  68. 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 arXivbibtexscholar

  69. 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 arXivbibtexscholar

  70. 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 arXivbibtexscholar

  71. 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 arXivbibtexscholar

  72. 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 arXivbibtexscholarproject webpage

  73. 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 arXivbibtexscholar

  74. 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 bibtexscholar

  75. 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 arXivlinkbibtexscholarproject webpage

    1. Others have implemented our paper.

  76. 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 pdfbibtexscholar

  77. 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 arXivbibtexscholarproject webpage

  78. 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 arXivbibtexscholarproject webpage

  79. 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 arXivbibtexscholar

  80. 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 arXivbibtexscholar

  81. 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 pdfbibtexscholarproject webpage

  82. 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 pdfbibtexscholar

  83. 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 arXivbibtexscholar

  84. 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 pdfbibtexscholar

  85. 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 arXivpdfbibtexscholar

  86. 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 arXivlinkbibtexscholarproject webpage

  87. 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 arXivbibtexscholarproject webpage

  88. 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 arXivbibtexscholarproject webpage

  89. 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 arXivbibtexscholar

  90. 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 linkpdfbibtexscholar

  91. 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 arXivbibtexscholarproject webpage

  92. 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 arXivbibtexscholarproject webpage

    1. Oral presentation, 60 out of 1870 submissions.

  93. 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 linkpdfbibtexscholar

  94. 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 linkpdfbibtexscholarproject webpage

  95. 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 arXivbibtexscholarproject webpage

  96. 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 arXivbibtexscholarproject webpage

  97. 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 arXivpdfbibtexscholar

  98. 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 arXivbibtexscholarproject webpage

  99. 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 arXivpdfbibtexscholarproject webpage

    1. Oral presentation.

  100. 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 arXivpdfbibtexscholar

  101. 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 pdfbibtexscholar

  102. 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 pdfbibtexscholar

  103. 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 arXivlinkbibtexscholar

    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.

  104. 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 pdfbibtexscholar

  105. 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 pdfbibtexscholar

  106. 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 pdfbibtexscholar

  107. 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 pdfbibtexscholar

  108. 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 pdfbibtexscholar

  109. 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 pdfbibtexscholar

  110. 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 pdfbibtexscholar

  111. 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 arXivlinkbibtexscholar

  112. 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 arXivlinkbibtexscholar

  113. 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 arXivpdfbibtexscholarproject webpage

  114. 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 linkpdfbibtexscholar

  115. 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 pdfbibtexscholar

  116. 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 linkpdfbibtexscholar

  117. 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 linkpdfbibtexscholar

    1. Oral presentation, 45 out of 1200 submissions.