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Selected Publications

TPAMI:

  1. W. Wang, J. Shen, X. Dong, A. Borji and R. Yang, “Inferring Salient Objects from Human Fixations.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  2. C. Zhang, H. Fu, Q. Hu, X. Cao, Y. Xie, D. Tao, and D. Xu, “Generalized Latent Multi-view Subspace Clustering.”, In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  3. A. Mustafa, S. H. Khan, M. Hayat, R. Goecke, J. Shen and L. Shao, “Deeply Supervised Discriminative Learning for Adversarial Defense.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  4. M. Ye, J. Shen, X. Zhang, P. C. Yuen and S. Chang, “Augmentation Invariant and Instance Spreading Feature for Softmax Embedding.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  5. W. Wang, J. Shen, X. Lu, S. C. H. Hoi and H. Ling, “Paying Attention to Video Object Pattern Understanding.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  6. W. Wang, J. Shen, J. Xie, M. Cheng, H. Ling and A. Borji, “Revisiting Video Saliency Prediction in the Deep Learning Era.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  7. X. Dong, J. Shen, W. Wang, L. Shao, H. Ling and F. Porikli, “Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  8. Hisham Cholakkal, Guolei Sun, Salman Khan, Fahad Shahbaz Khan, Ling Shao and Luc Van Gool. “Towards Partial Supervision for Generic Object Counting in Natural Scenes.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  9. Abdelrahman Eldesokey, Michael Felsberg and Fahad Shahbaz Khan. “Confidence Propagation through CNNs for Guided Sparse Depth Regression.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  10. W. Wang, J. Shen, F. Porikli, R. Yang: “Semi-Supervised Video Object Segmentation with Super-Trajectories.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  11. W. Wang, J. Shen, H. Ling: “A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  12. Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang. “Fast Cross-Validation for Kernel-Based Algorithms.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  13. Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor. “Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  14. Irtiza Hasan, Francesco Setti, Theodoros Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso. “Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  15. Zheng Zhang, Li Liu, Fumin Shen, Heng Tao Shen, Ling Shao. “Binary Multi-View Clustering.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
  16. Yang Long, Li Liu, Fumin Shen, Ling Shao and Xuelong Li. “Zero-shot Learning Using Synthesized Unseen Visual Data with Diffusion Regularization.” In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

IJCV:

  1. Z. Shen, W. Lai, J. Kautz, M.-H. Yang.  “Exploiting Semantics for Face Image Deblurring.” In International Journal of Computer Vision (IJCV), 2020.
  2. C. Zhang, H. Fu, J. Wang, Q. Hu, X. Cao, W. Li. “Tensorized Multi-View Subspace Representation Learning.” In International Journal of Computer Vision (IJCV), 2020.
  3. Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool. “Efficient Visual Recognition.” In International Journal of Computer Vision (IJCV), 2020.
  4. J. Zhao, J. Han, L. Shao, and C. G. M. Snoek. “Pixelated Semantic Colorization.” In International Journal of Computer Vision (IJCV), 2020.
  5. Yuming Shen, Li Liu, Ling Shao. “Unsupervised Binary Representation Learning with Deep Variational Networks.” In International Journal of Computer Vision (IJCV), 2019.
  6. Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang and Anton van den Hengel. “Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network.” In International Journal of Computer Vision (IJCV), 2019.

ICCV:

  1. Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao. “Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  2. Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao. “Towards Bridging Semantic Gap to Improve Semantic Segmentation.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  3. Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao. “Human-Aware Motion Deblurring.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  4. Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao. “Learning Compositional Neural Information Fusion for Human Parsing.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  5. Munawar Hayat, Salman H. Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao. “Gaussian Affinity for Max-Margin Class Imbalanced Learning.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  6. Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao. “Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  7. Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, and Qinghua Hu. “Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  8. Jimmy Lee, Peng Liu, Jun Cheng, and Huazhu Fu. “A Deep Step Pattern Representation for Multimodal Retinal Image Registration.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  9. Jinlin Wu, Yang Yang, Hao Liu, Shengcai Liao, Zhen Lei, and Stan Z. Li. “Unsupervised Graph Association for Person Re-identification.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  10. Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan and Ling Shao. “3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  11. Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao and Jorma Laaksonen. “Deep Contextual Attention for Human-Object Interaction Detection.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  12. Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang and Ling Shao. “Enriched Feature Guided Refinement Network for Object Detection.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  13. Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan and Ling Shao. “Mask-Guided Attention Network for Occluded Pedestrian Detection.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  14. Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan and Fahad Shahbaz Khan. “Learning the Model Update for Siamese Trackers.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.
  15. Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang and Ling Shao. “Learning Rich Features at High-Speed for Single-Shot Object Detection.” In IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 27-Nov. 2, 2019.

CVPR:

  1. Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli. “Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  2. Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng. “Taking a Deeper Look at Co-Salient Object Detection.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  3. Mang Ye, Jianbing Shen. “Probabilistic Structural Latent Representation for Unsupervised Embedding.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  4. Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes. “UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  5. Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao. “Camouflaged Object Detection.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  6. Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao. “JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  7. Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen. “Cascaded Human-Object Interaction Recognition.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  8. Y. Li, Y. Pang, J. Shen, J. Cao and L. Shao. “NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  9. Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao. “Hierarchical Human Parsing With Typed Part-Relation Reasoning.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  10. Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi. “Learning Video Object Segmentation From Unlabeled Videos.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  11. Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen. “A Unified Object Motion and Affinity Model for Online Multi-Object Tracking.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  12. Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao. Controllable Orthogonalization in Training DNNs. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  13. Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao. “An Investigation into the Stochasticity of Batch Whitening.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  14. Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao. “Auto-Encoding Twin-Bottleneck Hashing.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  15. Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao. “Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  16. Mengshi Qi, Jie Qin, Yu Wu, Yi Yang. “Imitative Non-Autoregressive Modeling for Sequence Prediction and Imputation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  17. Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, and Ling Shao. “Unsupervised Adaptation Learning for Hyperspectral Imagery Super-resolution.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  18. Andreas Robinson, Felix Jaremo Lawin, Martin Danelljan, Fahad Shahbaz Khan and Michael Felsberg. “Learning Fast and Robust Target Models for Video Object Segmentation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  19. Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan and Fatih Porikli. “A Self-supervised Approach for Adversarial Robustness.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  20. Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang and Ling Shao. “CycleISP: Real Image Restoration via Improved Data Synthesis.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  21. Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan and Mubarak Shah. “iTAML: An Incremental Task-Agnostic Meta-learning Approach.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  22. Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan and Joost van de Weijer. “MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  23. Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang and Ling Shao. “D2Det: Towards High Quality Object Detection and Instance Segmentation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  24. Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer and Fahad Shahbaz Khan. “Semi-Supervised Learning for Few-Shot Image-to-Image Translation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  25. Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang and Jian Sun. “Learning Human-Object Interaction Detection Using Interaction Points.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  26. Muhammad Haris Khan, John McDonagh, Salman Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao and Georgios Tzimiropoulos. “AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  27. Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao. “Striking the Right Balance With Uncertainty.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  28. Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji. “Salient Object Detection With Pyramid Attention and Salient Edges.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  29. Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling. “Learning Unsupervised Video Object Segmentation Through Visual Attention.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  30. Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli. “See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  31. Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao. “An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  32. Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen. “Shifting More Attention to Video Salient Object Detection.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  33. Changqing Zhang, Yeqing Liu, and Huazhu Fu. “AE^2-Nets: Autoencoder in Autoencoder Networks.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  34. Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao. “Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  35. Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li. “KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  36. Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao. “Attentive Region Embedding Network for Zero-shot Learning.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  37. Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao. “Iterative Normalization: Beyond Standardization towards Efficient Whitening.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  38. Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao. “Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  39. Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang. “Learning Context Graph for Person Search.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  40. Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu. “High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  41. Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan and Michael Felsberg. “ATOM: Accurate Tracking by Overlap Maximization.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.(Oral)
  42. Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan and Michael Felsberg. “A Generative Appearance Model for End-to-end Video Object Segmentation.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.(Oral)
  43. Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan and Ling Shao. “Object Counting and Instance Segmentation with Image-level Supervision.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  44. Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu and Ling Shao. “Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  45. Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan and Ling Shao. “Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  46. Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan and Ling Shao. “Efficient Featurized Image Pyramid Network for Single Shot Detector.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
  47. Yi Zhou, Ling Shao. “Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 19-21, 2018.
  48. Yuming Shen, Li Liu, Fumin Shen, Ling Shao. “Zero-Shot Sketch-Image Hashing.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 19-21, 2018.
  49. Xingping Dong, Jianbing Shen,  Wenguan Wang,  Yu Liu, Ling Shao and Fatih Porikli. “Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 19-21, 2018.
  50. Yi Zhu, Yang Long, Yu Guan, Shawn Newsam, Ling Shao. “Towards Universal Representation for Unseen Action Recognition.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 19-21, 2018.

ECCV:

  1. Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli. “CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  2. Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo. “Dynamic Dual-Attentive Aggregation Learning for VisibleInfrared Re-identification.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  3. Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao. “BBS-Net: Rgb-d salient object detection with a bifurcated backbone strategy network.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  4. Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool. “Video Object Segmentation with Episodic Graph Memory Networks.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  5. Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai. “Weakly Supervised 3D Object Detection from Lidar Point Cloud.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  6. Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao. “Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  7. Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao. “Region Graph Embedding Network for Zero-Shot Learning.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  8. Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao. “Invertible Zero-Shot Recognition Flows.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  9. Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao. “Learning Attentive and Hierarchical Representations for 3D Shape Recognition.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  10. Shengcai Liao, and Ling Shao. “Interpretable and Generalizable Person Re-identiffication with Query-adaptive Convolution and Temporal Lifting.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  11. Fang Zhao, Shengcai Liao, Guosen Xie, Jian Zhao, Kaihao Zhang, and Ling Shao. “Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identiffication.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  12. Xiaobo Wang, Tianyu Fu, Shuo Wang, Shengcai Liao, Zhen Lei, and Tao Mei. “Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  13. Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang, Fang Zhao, Lin Ma, Hongdong Li. “Beyond Monocular Deraining: Paired Rain Removal Networks via Unpaired Semantic Understanding.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  14. Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang and Ling Shao. “SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  15. Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan and Luc Van Gool. “Fixing Localization Errors to Improve Image Classification.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  16. Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees Snoek, and Ling Shao. “Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  17. Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao and Mubarak Shah. “Count- and Similarity-aware R-CNN for Pedestrian Detection.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  18. Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang and Ling Shao. “Learning Enriched Features for Real Image Restoration and Enhancement.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
  19. Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen. “Highly-Economized Multi-View Binary Compression for Scalable Image Clustering.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  20. Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool. “Generative Domain-Migration Hashing for Sketch-to-Image Retrieval.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  21. Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen. “TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  22. Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang. “One Stage Deep Regression Tracking with Shrinkage Loss.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  23. Xingping Dong, Jianbing Shen. “Triplet Loss with Theoretical Analysis in Siamese Network for Real-Time Object Tracking.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  24. Hongmei Song, Sanyuan Zhao, Jianbing Shen, Kin-Man Lam. “Pseudo Pyramid Deeper Bidirectional ConvLSTM for Video Saliency Detection.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  25. Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu. “Learning Human-Object Interactions by Graph Parsing Neural Networks.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  26. Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool. “StagNet: An Attentive Semantic RNN for Group Activity Recognition.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  27. Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. “Unveiling the Power of Deep Tracking.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  28. Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy Hospedales, Neil Robertson, Yongxin Yang. “Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  29. Jianfang Hu, Wei-Shi Zheng, Jiahui Pan, Jianguo Zhang, JianHuang Lai. “Deep Bilinear Learning for RGB-D ActionRecognition.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.
  30. Xiang Li, Ancong Wu, Wei-Shi Zheng. “Adversarial Open-World Person Re-Identification.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.

ICML:

  1. Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao. “On the Number of Linear Regions of Convolutional Neural Networks.” In The Thirty-seventh International Conference on Machine Learning (ICML), 2020.
  2. Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang. “Nearly Optimal Risk Bounds for Kernel K-Means.” In The Thirty-seventh International Conference on Machine Learning (ICML), 2020.

NeurIPS:

  1. Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, and Qinghua Hu, “CPM-Nets: Cross Partial Multi-View Networks.”, In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019.
  2. Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao. “Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test.” In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019.
  3. Jathushan Rajasegaran, Munawar Hayat, Salman Khan, Fahad Shahbaz Khan and Ling Shao. “Random Path Selection for Incremental Learning.” In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019.
  4. Muzammal Naseer, Salman Khan, Harris Khan, Fahad Shahbaz Khan and Fatih Porikli. “Cross-Domain Transferability of Adversarial Perturbations.” In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019.