Liang Wang

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Yan HuangInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Qiang LiuInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Yongzhen HuangSchool of Artificial Intelligence, Beijing Normal UniversityVerified email at bnu.edu.cn
Wang Wei（王威）Associate Professor, Institute of Automation Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
Feng Yu (余峰)DP TechnologyVerified email at dp.tech
Ran He, IAPR FellowNational Laboratory of Pattern Recognition, CASIAVerified email at nlpr.ia.ac.cn
Qiyue YinInstitute of Automation，Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Chunfeng SongShanghai AI LabVerified email at pjlab.org.cn
Chenyang Si (司晨阳)Nanyang Technological UniversityVerified email at ntu.edu.sg
Caifeng ShanPhilips ResearchVerified email at philips.com
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Zifeng WuDeepWiseVerified email at deepwise.com
Wanli Ouyang (欧阳万里)Shanghai AI LabVerified email at sydney.edu.au
David SuterProf. Edith Cowan UniversityVerified email at ecu.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsVerified email at unimelb.edu.au
Hongsong Wang (王洪松)Associate Professor, Southeast UniversityVerified email at seu.edu.cn
Zilei WangUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
Yi-Zhe SongSketchX Lab, CVSSP, University of SurreyVerified email at surrey.ac.uk

Liang Wang

National Lab of Pattern Recognition

Verified email at nlpr.ia.ac.cn

Computer Vision Pattern Recognition Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey on visual surveillance of object motion and behaviors W Hu, T Tan, L Wang, S Maybank Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2004	3233	2004
Hierarchical recurrent neural network for skeleton based action recognition Y Du, W Wang, L Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	2438	2015
Session-based recommendation with graph neural networks S Wu, Y Tang, Y Zhu, L Wang, X Xie, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 33, 346-353, 2019	1718	2019
Silhouette analysis-based gait recognition for human identification L Wang, T Tan, H Ning, W Hu Pattern Analysis and Machine Intelligence, IEEE Transactions on 25 (12 …, 2003	1583	2003
Recent developments in human motion analysis L Wang, W Hu, T Tan Pattern recognition 36 (3), 585-601, 2003	1475	2003
Focal and efficient IOU loss for accurate bounding box regression YF Zhang, W Ren, Z Zhang, Z Jia, L Wang, T Tan Neurocomputing 506, 146-157, 2022	1087	2022
Graph contrastive learning with adaptive augmentation Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang Proceedings of the Web Conference 2021, 2069-2080, 2021	1056	2021
Predicting the next location: A recurrent model with spatial and temporal contexts Q Liu, S Wu, L Wang, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	1036	2016
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition C Si, W Chen, W Wang, L Wang, T Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	932	2019
Deep Graph Contrastive Representation Learning Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang arXiv preprint arXiv:2006.04131, 2020	885	2020
Recent advances and trends in visual tracking: A review H Yang, L Shao, F Zheng, L Wang, Z Song Neurocomputing 74 (18), 3823-3831, 2011	863	2011
A comprehensive study on cross-view gait based human identification with deep cnns Z Wu, Y Huang, L Wang, X Wang, T Tan IEEE transactions on pattern analysis and machine intelligence 39 (2), 209-226, 2017	774	2017
Deep semantic ranking based hashing for multi-label image retrieval F Zhao, Y Huang, L Wang, T Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	729	2015
Mask-Guided Contrastive Attention Model for Person Re-Identification C Song, Y Huang, W Ouyang, L Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	699	2018
Fusion of static and dynamic body biometrics for gait recognition L Wang, H Ning, T Tan, W Hu Circuits and Systems for Video Technology, IEEE Transactions on 14 (2), 149-158, 2004	581	2004
Fusion of static and dynamic body biometrics for gait recognition L Wang, H Ning, T Tan, W Hu Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on …, 2003	581	2003
A dynamic recurrent model for next basket recommendation F Yu, Q Liu, S Wu, L Wang, T Tan Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	570	2016
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE International Conference on Computer Vision, 2956-2964, 2015	514	2015
Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction W Wang, Y Huang, Y Wang, L Wang Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE …, 2014	504	2014
Automatic gait recognition based on statistical shape analysis L Wang, T Tan, W Hu, H Ning Image Processing, IEEE Transactions on 12 (9), 1120-1131, 2003	497	2003

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