BIOGRAPHY
I received the Ph.D. degree from the Department of Computer Science and Engineering, Zhejiang University. From April 1998 to March 2000, I was a Postdoctoral Research Fellow with the Institute of Computer Science and Technology, Founder Research and Design Center, Peking University. Since April 2000, I have been with the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. Now I am a Professor and a Ph. D. Student Supervisor in the laboratory. My research interests cover visual surveillance, object detection, tracking, motion activity understanding, visual action recognition, image and video security, image classification, and video retrieval, etc. I have published more than 270 papers in international journals and international conferences. The papers obtain 29963 citations. My h-index is 72. My i10-index is 297.
PROFESSIONAL ACTIVITIES
Editorial work:
- Associate Editor for IEEE Transactions on Cybernetics.
- Editor of the Special Issue of “Visual Surveillance in Dynamic Scenes” in Chinese Journal of Automation, no. 3, 2003.
Conferences:
- Program Committee Member of IJCAI-ECAI 2022, The 31st International Joint Conference on Artificial Intelligence. 2022.
- Program Committee Member of IEEE International Conference on Big Data and Smart Computing, 2018
- Program Committee Member of “7th International Symposium on Communications and Information Technologies”.
- Program Committee Member of “The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005”.
- Program Committee Member of “IEEE International Workshop on Visual Surveillance, 2006”.
- Program Committee Member of IEEE International Workshop on Visual Surveillance, 2007”.
- Program Committee Member of 1st Chinese Intelligence Visual Surveillance Conference”, 2002.
- Organization Chair of 2nd Chinese Intelligence Visual Surveillance Conference”, 2003
Review for journals:
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- International Journal of Computer Vision
- IEEE Transactions on Image Processing
- IEEE Transactions on Cybernetics
- IEEE Transactions on Multimedia
- IEEE Transactions on Vehicular Technology
- IEEE Transactions on Robotics
- IEEE Transactions on Automation Science and Engineering
- Pattern Recognition Letters
- International Journal of Pattern Recognition and Artificial Intelligence
- Image and Vision Computing
SELECTED PAPERS
- Weiming Hu, Haowei Liu, Yang Du, Chunfeng Yuan, Bing Li, and Stephen Maybank, “Interaction-aware spatio-temporal pyramid attention networks for action classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021, Accepted.
- Jin Gao, Qiang Wang, Junliang Xing, Haibin Ling, Weiming Hu, and Stephen Maybank “Tracking-by-fusion via Gaussian process regression extended to transfer learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 42, no. 4, pp. 939-955, April 2020.
- Weiming Hu, Guodong Tian, Yongxin Kang, Chunfeng Yuan, and Stephen Maybank, “Dual sticky hierarchical Dirichlet process hidden Markov model and its application to natural language description of motions,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 10, pp. 2355-2373, Oct. 2018.
- Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, Xi Zhou, and Shuicheng Yan, “Towards robust and accurate multi-view and partially-occluded face alignment,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 4, pp. 987-1001, 2018.
- Bing Li, Chunfeng Yuan, Weihua Xiong, Weiming Hu, Houwen Peng, Xinmiao Ding, and Steve Maybank, “Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 12, pp. 2554-2560, 2017.
- Houwen Peng, Bing Li, Haibin Ling, Weiming Hu, Weihua Xiong, and Stephen J. Maybank, “Salient object detection via structured matrix decomposition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 4, pp. 818-832, April 2017. (Featured paper)
- Weiming Hu, Jin Gao, Junliang Xing, Chao Zhang, and Stephen Maybank, “Semi-supervised tensor-based graph embedding learning and its application to visual discriminant tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 1, pp. 172-188, Jan. 2017.
- Weiming Hu, Wei Li, Xiaoqin Zhang, and Stephen Maybank, “Single and multiple object tracking using a multi-feature joint sparse representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 37, no. 4, pp. 816-833, April 2015.
- Guang Luo, Shuang Yang, Guodong Tian, Chunfeng Yuan, Weiming Hu, and Stephen J. Maybank, “Learning human actions by combining global dynamics and local appearance,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 12, pp. 2466-2482, Dec. 2014. (Featured paper)
- Weiming Hu, Nianhua Xie, Ruiguang Hu, Haibin Ling, Qiang Chen, Shuicheng Yan, and Stephen Maybank, “Bin ratio-based histogram distances and their application to image classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 12, pp. 2338-2352, Dec. 2014.
- Weiming Hu, Xi Li, Guodong Tian, Stephen Maybank, and Zhongfei Zhang, “An incremental DPMM-based method for trajectory clustering, modeling, and retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 5, pp. 1051-1065, May 2013.
- Weiming Hu, Xi Li, Wenhan Luo, Xiaoqin Zhang, Stephen Maybank, and Zongfeng Zhang, “Single and multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 34, no. 12, pp. 2420-2440, 2012.
- Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, and Steve Maybank, “Recognition of pornographic web pages by classifying texts and images,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29, no. 6, pp. 1019-1034, 2007.
- Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tieniu Tan, and Steve Maybank, “A system for learning statistical motion patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 9, pp. 1450-1464, September 2006.
- Weiming Hu, Min Hu, Xue Zhou, Tieniu Tan, Jianguang Lou, and Steve Maybank, “Principal axis-based correspondence between multiple cameras for people tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 4, pp. 663-671, April 2006.
- Liang Wang, Tieniu Tan, Huazhong Ning, and Weiming Hu, “Silhouette analysis based gait recognition for human identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp. 1505-1518, 2003.
- Weiming Hu, Xinchu Shi, Zongwei Zhou, Junliang Xing, Haibin Ling, and Stephen Maybank, “Dual L1-normalized context aware tensor power iteration and its applications to multi-object tracking and multi-graph matching,” International Journal of Computer Vision (IJCV), vol. 128, no. 2, pp. 360-392, February 2020.
- Xinchu Shi, Haibin Ling, Yu Pang, Weiming Hu, Peng Chu, and Junliang Xing, “Rank-1 tensor approximation for high-order association in multi-target tracking,” International Journal of Computer Vision (IJCV), vol. 127, no. 8, pp. 1063-1083, 2019.
- Chunfeng Yuan, Baoxin Wu, Xi Li, Weiming Hu, Stephen Maybank, and Fangshi Wang, “Fusing R features and local features with context-aware kernels for action recognition,” International Journal of Computer Vision (IJCV), vol. 118, no. 2, pp. 151-171, June 2016.
- Bing Li, Weihua Xiong, Weiming Hu, Brian Funt, and Junliang Xing, “Multi-cue illumination estimation via a tree-structured group joint sparse representation,” International Journal of Computer Vision (IJCV), vol. 117, no. 1, pp. 21-47, March 2016.
- Xiaoqin Zhang, Weiming Hu, Nianhua Xie, Hujun Bao, and Stephen Maybank, “A robust tracking system for low frame rate video,” International Journal of Computer Vision (IJCV), vol. 115, no. 3, pp. 279-304, December 2015.
- Weiming Hu, Guodong Tian, Xi Li, and Stephen Maybank, “An improved hierarchical Dirichlet process-hidden Markov model and its application to trajectory modeling and retrieval,” International Journal of Computer Vision (IJCV), vol. 105, no. 3, pp. 246-268, Dec. 2013.
- Weiming Hu, Xi Li, Xiaoqin Zhang, Xinchu Shi, Stephen Maybank, and Zhongfei Zhang, “Incremental tensor subspace learning and its applications to foreground segmentation and tracking,” International Journal of Computer Vision (IJCV), vol. 91, no. 3, pp. 303-327, February 2011.
- Ou Wu, Qiang You, Fen Xia, Lei Ma, and Weiming Hu, “Listwise learning to rank from crowds,” ACM Transactions on Knowledge Discovery from Data (TKDD), vo. 11, no. 1, Article no. 4, 2016.
- Ou Wu, Weiming Hu, and Lei Shi, “Measuring the visual complexities of web pages,” ACM Transactions on the Web (TWEB), vol. 7, no. 1, Article no. 1, March 2013.
- Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, and David Suter, “Recognition of adult images, videos, and web page bags,” ACM Transactions on Multimedia Computing, Communications and Applications. vol. 7S, 1, Article 28, October 2011.
- Ou Wu, Xue Mao, and Weiming Hu, “Iteratively divide-and-conquer learning for nonlinear classification and ranking,” ACM Transactions on Intelligent Systems and Technology (TIST), vol. 9, no. 2, Article no. 18:1-26, January 2018.
- Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, and Anton van den Hengel, “A survey of appearance models in visual object tracking,” ACM Transactions on Intelligent Systems and Technology, vol. 4, no. 4, Article no. 58, 2013.
- Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, and Stephen Maybank, “Anomaly detection using local kernel density estimation and context-based regression,” IEEE Transactions on Knowledge and Data Engineering (KDE), vol. 32, no. 2, pp. 218-233, February 2020.
- Ou Wu, Qiang You, Xue Mao, Fen Xia, and Weiming Hu, “Listwise learning to rank by exploring structure of objects,” IEEE Transactions on Knowledge and Data Engineering (KDE), vol. 28, no. 7, pp. 1934-1939, 2016.
- Xi Li, Weiming Hu, Chunhua Shen, Anthony Dick, and Zhongfei Mark Zhang, “Context-aware hypergraph construction for robust spectral clustering,” IEEE Transactions on Knowledge and Data Engineering (KDE), vol. 26, no. 10, pp. 2588-2597, Oct. 2014.
- Zhipeng Zhang, Yufan Liu, Bing Li, Weiming Hu, and Houwen Peng, “Towards accurate pixelwise object tracking via attention retrieval,” IEEE Transactions on Image Processing, vol. 30, pp. 8553-8566, 2021.
- Weiming Bai, Zhipeng Zhang; Bing Li, Pei Wang, Yangxi Li, Congxuan Zhang, and Weiming Hu, “Robust texture-aware computer-generated image forensic: benchmark and algorithm,” IEEE Transactions on Image Processing, vol. 30, pp. 8439-8453, 2021.
- Bo Wang, Chunfeng Yuan, Bing Li, Xinmiao Ding, Zeya Li, Ying Wu, and Weiming Hu, “Multi-scale low-discriminative feature reactivation for weakly supervised object localization,” IEEE Transactions on Image Processing, vol. 30, pp. 6050-6065, June 2021.
- Xinwei Huang, Bing Li, Shuai Li, Wenjuan Li, Weihua Xiong, Xuanwu Yin, Weiming Hu, and Hong Qin, “Multi-cue semi-supervised color constancy with limited training samples,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 7875-7888, 2020.
- Wenjuan Li, Bing Li, Chunfeng Yuan, Haohao Wu, Yangxi Li, Weiming Hu, and Fangshi Wang, “Anisotropic convolution for image classification,” IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 5584-5595, December 2020.
- Hao Yang, Chunfeng Yuan, Li Zhang, Yunda Sun, Weiming Hu, Stephen J. Maybank, “STA-CNN: Convolutional spatial-temporal attention learning for action recognition,” IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 5783-5793, December 2020.
- Guan Luo, Jiutong Wei, Weiming Hu, and Stephen J. Maybank, “Tangent Fisher vector on matrix manifolds for action recognition,” IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 3052-3064, 2020.
- Weiming Hu, Baoxin Wu, Pei Wang, Chunfeng Yuan, Yangxi Li, and Stephen Maybank, “Context-dependent random walk graph kernels and tree pattern graph matching kernels with applications to action recognition,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 10, pp. 5060-5075, October 2018.
- Weiming Hu, Yabo Fan, Junliang Xing, Liang Sun, Zhaoquan Cai, and Stephen Maybank, “Deep constrained siamese hash coding network and load-balanced locality-sensitive hashing for near duplicate image detection,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 9, pp. 4452-4464, September 2018.
- Bing Li, Weihua Xiong, Ou Wu, Weiming Hu, Stephen Maybank, and Shuicheng Yan, “Horror image recognition based on context-aware multi-instance learning,” IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp. 5193-5205, 2015.
- Weiming Hu, Ruiguang Hu, Nianhua Xie, Haibin Ling, and Stephen Maybank, “Image classification using multi-scale information fusion based on saliency driven nonlinear diffusion filtering,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 4, pp. 1513-1526, 2014.
- Chunfeng Yuan, Xi Li, Weiming Hu, Haibin Ling, and Stephen Maybank, “Modeling geometric-temporal context with directional pyramid co-occurrence for action recognition,” IEEE Transactions on Image Processing (TIP), vol. 23, no, 2, pp. 658-672, Feb. 2014.
- Bing Li, Weihua Xiong, Weiming Hu, and Brian Funt, “Evaluating combinational illumination estimation methods on real-world images,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 3, pp. 1194-1209, 2014.
- Haoran Wang, Chunfeng Yuan, Weiming Hu, Haibin Ling, Changyin Sun, and Wankou Yang, “Action recognition using nonnegative action component representation and sparse basis selection,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 2, pp. 570-581, Feb. 2014.
- Weiming Hu, Xue Zhou, Wei Li, Wenhan Luo, Xiaoqin Zhang, and Stephen Maybank, “Active contour-based visual tracking by integrating colors, shapes and motions,” IEEE Transactions on Image Processing (TIP), vol. 22, no. 5, pp. 1778-1792, May 2013.
- Weiming Hu, Dan Xie, Zhouyu Fu, Wenrong Zeng, and Steve Maybank, “Semantic-based surveillance video retrieval,” IEEE Transactions on Image Processing (TIP), vol. 16, no. 4, pp. 1168-1181, April 2007.
- Jianguang Lou, Tieniu Tan, Weiming Hu, Hao Yang, and Steve Maybank, “3-D model-based vehicle tracking,” IEEE Transactions on Image Processing (TIP), vol. 14, no. 10, pp. 1561-1569, 2005.
- Liang Wang, Tieniu Tan, Weiming Hu, and Huazhong Ning, “Automatic gait recognition based on statistical shape analysis,” IEEE Transactions on Image Processing (TIP), vol. 12, no. 9, pp. 1120-1131, 2003.
- Xinmiao Ding, Bing Li, Weihua Xiong, Wen Guo, Weiming Hu, and Bo Wang, “Multi-instance multi-label learning combining hierarchical context and its application to image annotation,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 8, pp. 1616-1627, 2016.
- Ou Wu, Haiqiang Zuo, Weiming Hu, and Bing Li, “Multi-modal web aesthetics assessment based on structural SVM and multi-task fusion learning,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 6, pp. 1062-1076, 2016.
- Weiming Hu, Xinmiao Ding, Bing Li, Jianchao Wang, Yan Gao, Fangshi Wang, and Stephen Maybank, “Multi-perspective cost-sensitive context-aware multi-instance sparse coding and its application to sensitive video recognition,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 1, pp. 76-89, 2016.
- Xiaofeng Ruan, Yufan Liu, Chunfeng Yuan, Bing Li, Weiming Hu, Yangxi Li, and Stephen Maybank, “EDP: An efficient decomposition and pruning scheme for convolutional neural network compression,” IEEE Transactions on Neural Networks and Learning Systems(TNNLS), vol. 32, no. 10, pp. 4499-4513, Oct. 2021.
- Weiming Hu, Dan Xie, and Tieniu Tan, “A hierarchical self-organizing approach for learning the patterns of motion trajectories,” IEEE Transactions on Neural Networks, vol. 15, no. 1, pp. 135-144, 2004.
- Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, and Weiming Hu, “A simple and strong baseline for universal targeted attacks on siamese visual tracking”, IEEE Transactions on Circuits and Systems for Video Technology, Accepted.
- Xinmiao Ding, Bing Li, Yangxi Li, Wen Guo, Yao Liu, Weihua Xiong, and Weiming Hu, “Web objectionable video recognition based on deep multi-instance learning with representative prototypes selection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 3, pp. 1222-1233, 2021.
- Junliang Xing, Weiming Hu, Haizhou Ai, and Shuicheng Yan, “FatRegion: A fast, adaptive, tree-structured region extraction approach,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 3, pp. 601-615, 2018.
- Xiaoqin Zhang, Weiming Hu, Hujun Bao, and Steve Maybank, “Robust head tracking based on multiple cues fusion in the kernel-Bayesian framework,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 7, pp. 1197-1208, 2013.
- Xiaoqin Zhang, Weiming Hu, Wei Qu, and Steve Maybank, “Multiple object tracking via species-based particle swarm optimization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 11, pp. 1590-1602, Nov. 2010.
- Weiming Hu, Xue Zhou, Min Hu, and Steve Maybank, “Occlusion reasoning for tracking multiple walking people,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 1, pp. 114-121, 2009.
- Liang Wang, Huazhong Ning, Tieniu Tan, and Weiming Hu, “Fusion of static and dynamic body biometrics for gait recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 149-158, 2004.
- Weiming Hu, Jun Gao, Yanguo Wang, Ou Wu, and Stephen Maybank, “Online Adaboost-based parameterized methods for dynamic distributed network intrusion detection,” IEEE Transactions on Cybernetics, vol. 44, no. 1, pp. 66-82, 2014.
- Xue Zhou, Xi Li, and Weiming Hu, “Learning a superpixel-driven speed function for level set tracking,” IEEE Transactions on Cybernetics, vol. 46, no. 7, pp. 1498-1510, 2016.
- Ou Wu, Weiming Hu, Stephen J. Maybank, Mingliang Zhu, and Bing Li, “Efficient clustering aggregation based on data fragments,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 3, pp. 913-926, 2012.
- Weiming Hu, Wei Hu, and Steve Maybank, “Adaboost-based algorithm for network intrusion detection,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 2, pp. 577-583, 2008.
- Weiming Hu, Dan Xie, Tieniu Tan, and Steve Maybank, “Learning patterns of activity using fuzzy self-organizing neural network,” IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 34, no. 3, pp. 1618-1626, 2004.
- Weiming Hu, Wei Hu, Nianhua Xie, and Steve Maybank, “Unsupervised active learning based on hierarchical graph-theoretic clustering,” IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 39, no. 5, pp. 1147-1161, Oct. 2009.
- Weiming Hu, Tieniu Tan, Liang Wang, and Steve Maybank, “A survey on visual surveillance of object motion and behaviors,” IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol. 34, no. 3, pp. 334-352, 2004.
- Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, and Stephen Maybank, “A survey on visual content-based video indexing and retrieval,” IEEE Transactions on Systems, Man, and Cybernetics, Part C, Applications and Reviews, vol. 41, no. 6, pp. 797-819, 2011.
- Xiaoqin Zhang, Changcheng Li, Weiming Hu, Xiaofeng Tong, Steve Maybank, and Yimin Zhang, “Human pose estimation and tracking via parsing a tree structure based human model,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 44, no. 5, pp. 580-592, May 2014.
- Weiming Hu, Xuejuan Xiao, Dan Xie, Tieniu Tan, and Steve Maybank, “Traffic accident prediction using 3D model based vehicle tracking,” IEEE Transactions on Vehicular Technology, vol. 53, no. 3, pp. 677-694, 2004.
- Shuaiqi Liu, Yu Lei, Luyao Zhang, Bing Li, Weiming Hu, and Yu-Dong Zhang, “MRDDANet: A multiscale residual dense dual attention network for SAR image denoising,” IEEE Transactions on Geoscience and Remote Sensing, Accepted.
- Yuxin Chen, Gaoqun Ma, Chunfeng Yuana, Bing Li, Hui Zhang, Fangshi Wang, and Weiming Hu, “Graph convolutional network with structure pooling and joint-wise channel attention for action recognition,” Pattern Recognition, vol. 103, pp. 107321: 1-13, July 2020.
- Zongwei Zhou, Wenhan Luo, QiangWang, Junliang Xing, and Weiming Hu, “Distractor- aware discrimination learning for online multiple object tracking,” Pattern Recognition, vol. 107, November 2020.
- Hao Yang, ChunfengYuan, BingLi, Yang Du, JunliangXing, Weiming Hu, and Stephen J. Maybank, “Asymmetric 3D convolutional neural networks for action recognition,” Pattern Recognition, vol. 85, pp. 1-12, 2019.
- Kai Li, Junliang Xing, Weiming Hu, and Stephen J. Maybank, “D2C: Deep cumulatively and comparatively learning for human age estimation,” Pattern Recognition, vol. 66, pp. 95-105, 2017.
- Junliang Xing, Kai Li, Weiming Hu, Chunfeng Yuan, and Haibin Ling, “Diagnosing deep learning models for high accuracy age estimation from a single image,” Pattern Recognition, vol. 66, pp. 106-116, 2017.
- Xiaoqin Zhang, Wei Li, Weiming Hu, Haibin Ling, and Steve Maybank, “Block covariance based l1 tracker with a subtle template dictionary,” Pattern Recognition, 2013, vol. 46, no. 7, pp. 1750-1761, July 2013.
- Haoran Wang, Chunfeng Yuan, Weiming Hu, and Changyin Sun, “Action recognition using linear dynamic systems,” Pattern Recognition, vol. 46, no. 6, pp. 1710-1718, 2013.
- Haoran Wang, Chunfeng Yuan, Weiming Hu, and Changyin Sun, “Supervised class-specific dictionary learning for sparse modeling in action recognition,” Pattern Recognition, vol. 45, no. 11, pp. 3902-3911, 2012.
- Huazhong Ning, Tieniu Tan, Liang Wang, and Weiming Hu, “People tracking based on motion model and motion constraints with automatic initialization,” Pattern Recognition, vol. 37, no. 7, pp. 1423-1440, 2004.
- Liang Wang, Weiming Hu, and Tieniu Tan, “Recent developments in human motion analysis,” Pattern Recognition, vol. 36, no. 3, pp. 585-601, 2003.
- Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, and Weiming Hu, “Learn to match: automatic matching network design for visual tracking,” IEEE International Conference on Computer Vision (ICCV), pp. 13339-13348, 2021.
- Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, and Weiming Hu, “Channel-wise topology refinement graph convolution for skeleton-based action recognition,” IEEE International Conference on Computer Vision (ICCV), pp. 13359-13368, 2021.
- Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, and Chunhong Pan, “Differentiable convolution search for point cloud processing,” IEEE International Conference on Computer Vision (ICCV), pp. 7437-7446, 2021.
- Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, and Philip H.S. Torr, “Anchor diffusion for unsupervised video object segmentation,” IEEE International Conference on Computer Vision (ICCV), pp. 931-940, 2019.
- Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, “Local subspace collaborative tracking,” IEEE International Conference on Computer Vision (ICCV), pp. 4301-4309, 2015.
- Junliang Xing, Jin Gao, Bing Li, Weiming Hu, and Shuicheng Yan, “Robust object tracking with online multi-lifespan dictionary learning,” IEEE International Conference on Computer Vision (ICCV), pp.665-672, 2013.
- Jin Gao, Junliang Xing, Weiming Hu, and Steve Maybank, “Discriminant tracking using tensor representation with semi-supervised improvement,” IEEE International Conference on Computer Vision (ICCV), pp. 145-152, 2013.
- Ou Wu, Weiming Hu, and Jun Gao, “Learning to predict the perceived visual quality of photos,” IEEE International Conference on Computer Vision (ICCV), pp. 225-232, 2011.
- Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weiming Hu, and Steve Maybank, “Efficient human pose estimation via parsing a tree structure based human model,” IEEE International Conference on Computer Vision (ICCV), pp. 1349-1356, 2009.
- Xi Li, Weiming Hu, and Zhongfei Zhang, “Robust visual tracking based on incremental tensor subspace learning,” IEEE International Conference on Computer Vision (ICCV), pp. 1-8, 2007.
- Xiaoqing Zhang, Weiming Hu, and Steve Maybank, “Graph based discriminative learning for robust and efficient object tracking,” IEEE International Conference on Computer Vision (ICCV), pp. 1-8, 2007.
- Liang Wang, Huazhong Ning, Tieniu Tan, and Weiming Hu, “Fusion of static and dynamic body biometrics for gait recognition,” IEEE International Conference on Computer Vision (ICCV), pp. 1449-1453, 2003.
- Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, and Weiming Hu, “Open-book video captioning with retrieve-copy-generate network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9837-9846, 2021.
- Jin Gao, Weiming Hu, and Yan Lu, “Recursive least-squares estimator-aided online learning for visual tracking,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7386-7395, 2020.
- Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, PeijinWang, Weiming Hu, and Zhengjun Zha, “Object relational graph with teacher-recommended learning for video captioning,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13278-13288, 2020.
- Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip H.S. Torr, “Fast online object tracking and segmentation: a unifying approach,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1328-1338, 2019.
- Yufan Liu, Jiajiong Cao, Bing Li, Chunfeng Yuan, Weiming Hu, Yangxi Li, Yunqiang Duan: “Knowledge distillation via instance relationship graph,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7096-7104, 2019.
- Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, and Steve Maybank, “Learning attentions: residual attentional siamese network for high performance online visual tracking,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4854-4863, 2018.
- Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, and Steve Maybank, “Deep cost-sensitive and order-preserving feature learning for cross-population age estimation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 399-408, 2018.
- Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, and Stephen Maybank, “Spatio-temporal self-organizing map deep network for dynamic object detection from videos,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4245-4254, 2017.
- Xinchu Shi, Haibin Ling, Weiming Hu, Junliang Xing, and Yanning Zhang, “Tensor power iteration for multi-graph matching,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5062-5070, 2016.
- Shuang Yang, Chunfeng Yuan, Baoxin Wu, Weiming Hu, and Fangshi Wang, “Multi-feature max-margin hierarchical Bayesian model for action recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1610-1618, 2015.
- Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, and Shuicheng Yan, “Towards multi-view and partially-occluded face alignment,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1829-1836, 2014.
- Xinchu Shi, Haibin Ling, Weiming Hu, Chunfeng Yuan, and Junliang Xing, “Multi-target tracking with motion context in tensor power iteration,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3518-3525, 2014.
- Baoxin Wu, Chunfeng Yuan, and Weiming Hu, “Human action recognition based on context-dependent graph kernels,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2609-2616, 2014.
- Chunfeng Yuan, Weiming Hu, Guodong Tian, and Shuang Yang, “Multi-task sparse learning with beta process prior for action recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 423-429, 2013.
- Chunfeng Yuan, Xi Li, Weiming Hu, Haibin Lin, Stephen Maybank, and Haoran Wang, “3D R transform on spatio-temporal interest points for action recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 724-730, 2013.
- Bing Li, Weihua Xiong, and Weiming Hu, “Illumination estimation based on bilayer sparse coding,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1423-1429, 2013.
- Xinchu Shi, Haibin Ling, Junliang Xing, and Weiming Hu, “Multi-target tracking by rank-1 tensor approximation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2387-2394, 2013.
- Bing Li, Weihua Xiong, Weiming Hu, and Ou Wu, “Evaluating combinational color constancy methods on real-world images,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1929-1936, 2011.
- Nianhua Xie, Haibin Ling, Weiming Hu, and Xiaoqin Zhang, “Use bin-ratio information for category and scene classification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2313-2319, 2010.
- Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, “Visual tracking via incremental log-Euclidean Riemannian subspace learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska. June 23-28, 2008.
- Xiaoqing Zhang, Weiming Hu, Steve Maybank, and Xi Li “Sequential particle swarm optimization for visual tracking,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska. June 23-28, 2008.
- Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, and Weiming Hu, “Ocean: Object-aware anchor-free tracking,” European Conference on Computer Vision (ECCV), vol. 21, pp. 771-787, 2020.
- Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, and Weiming Hu, and Ali Borji, “Learning to predict salient faces: a novel visual-audio saliency model,” European Conference on Computer Vision (ECCV), vol. 20, pp. 413-429, 2020.
- Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, and Weiming Hu, “Interaction-aware spatio-temporal pyramid attention networks for action classification,” European Conference on Computer Vision (ECCV), pp. 388-404, 2018.
- Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, and Steve Maybank, “Visual tracking via spatially aligned correlation filters network,” European Conference on Computer Vision (ECCV), vol. 3, pp. 484-500, 2018.
- Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu, “Distractor-aware siamese networks for visual object tracking,” European Conference on Computer Vision (ECCV), 103-119, 2018.
- Pei Wang, Chunfeng Yuan, Weiming Hu, and Yanning Zhang, “Graph based skeleton motion representation and similarity measurement for action recognition,” European Conference on Computer Vision (ECCV), vol. 7, pp. 370-385, 2016.
- Jin Gao, Haibin Ling, Weiming Hu, and Junliang Xing, “Transfer learning based visual tracking with Gaussian processes regression,” European Conference on Computer Vision (ECCV), pp. 188-203, 2014.
- Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, and Rongrong Ji, “RGBD salient object detection: a benchmark and algorithms,” European Conference on Computer Vision (ECCV), pp. 92-109, 2014.
- Xi Li, Weiming Hu, Zhongfei Zhang, and Xiaoqin Zhang, “Robust visual tracking based on an effective appearance model,” European Conference on Computer Vision (ECCV), pp. 396-408, 2008.
- Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, and Steve Maybank, “Do not lose the details: reinforced representation learning for high performance visual tracking,” International Joint Conference on Artificial Intelligence (IJCAI) pp. 985-991, 2018.
- Xue Mao, Zhouyu Fu, Ou Wu, and Weiming Hu, “Optimizing locally linear classifiers with supervised anchor point learning,” International Joint Conference on Artificial Intelligence (IJCAI), pp. 3699-3706, 2015.
- Ou Wu, Weiming Hu, and Jun Gao, “Learning to rank under multiple annotators,” International Joint Conference on Artificial Intelligence (IJCAI), pp. 1571-1576, 2011.
- Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, and Weiming Hu, “One more check: making “fake background” be tracked again,” AAAI Conference on Artificial Intelligence (AAAI), 2022.
- Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, and Weiming Hu, “DPFPS: Dynamic and progressive filter pruning for compressing convolutional neural networks from scratch,” AAAI Conference on Artificial Intelligence (AAAI), pp. 2495-2503, 2021.
- Shaoru Wang, Yongchao Gong, Junling Xing, Lichao Huang, Chang Huang, and Weiming Hu, “RDSNet: A new deep architecture for reciprocal object detection and instance segmentation,” AAAI Conference on Artificial Intelligence (AAAI), pp. 12208-12215, 2020.
- Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, and Lili Zhao, “Hierarchical nonlinear orthogonal adaptive-subspace self-organizing map based feature extraction for human action recognition,” AAAI Conference on Artificial Intelligence (AAAI), pp. 6805-6812, 2018.
- Ou Wu, Ruiguang Hu, Xue Mao, and Weiming Hu, “Quality-based learning for web data classification,” AAAI Conference on Artificial Intelligence (AAAI), oral presentation, pp. 194-200, 2014.
- Qishen Wang, Ou Wu, Yin Chen, and Weiming Hu, “Label ranking by directly optimizing performance measure,” AAAI Conference on Artificial Intelligence (AAAI), pp. 131-133, 2013.
- Houwen Peng, Bing Li, Rongrong Ji, and Weiming Hu, “Salient object detection via low-rank and structured sparse matrix decomposition,” AAAI Conference on Artificial Intelligence (AAAI), pp. 796-802, 2013.
- Bing Li, Weihua Xiong, and Weiming Hu, “Visual saliency map from tensor analysis,” AAAI Conference on Artificial Intelligence (AAAI), pp. 1585-1591, 2012.
- Mengdan Zhang, Jiashi Feng, Junliang Xing, and Weiming Hu, “Robust visual object tracking with top-down reasoning,” ACM Conference on Multimedia (ACM MM), pp. 226-234, 2017.
- Houwen Peng, Kai Li, Bing Li, Haibin Ling, Weihua Xiong, and Weiming Hu, “Predicting image memorability by multi-view adaptive regression,” ACM Conference on Multimedia (ACM MM), pp. 1147-1150, 2015.
- Bing Li, Weihua Xiong, and Weiming Hu, “Context-aware affective images classification based on bilayer sparse representation,” ACM Conference on Multimedia (ACM MM), pp. 721-724, 2012.
- Bing Li, Weihua Xiong, and Weiming Hu, “Scaring or pleasing: exploit emotional impact of an image,” ACM Conference on Multimedia (ACM MM), pp. 1365-1366, 2012 (Multimedia grand challenge).