| 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, 2016 | 799 | 2016 |
| Deep semantic ranking based hashing for multi-label image retrieval F Zhao, Y Huang, L Wang, T Tan IEEE conference on computer vision and pattern recognition, 1556-1564, 2015 | 736 | 2015 |
| 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, ... IEEE International Conference on Computer Vision, 2956-2964, 2015 | 529 | 2015 |
| Gaitpart: Temporal part-based model for gait recognition C Fan, Y Peng, C Cao, X Liu, S Hou, J Chi, Y Huang, Q Li, Z He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 484 | 2020 |
| Facial expression recognition based on deep evolutional spatial-temporal networks K Zhang, Y Huang, Y Du, L Wang IEEE Transactions on Image Processing 26 (9), 4193-4203, 2017 | 479 | 2017 |
| A model-based gait recognition method with body pose and human prior knowledge R Liao, S Yu, W An, Y Huang Pattern Recognition 98, 107069, 2020 | 410 | 2020 |
| Auto-encoder based data clustering C Song, F Liu, Y Huang, L Wang, T Tan Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 310 | 2013 |
| Feature coding in image classification: A comprehensive study Y Huang, Z Wu, L Wang, T Tan IEEE Transactions on Pattern Analysis & Machine Intelligence 36 (3), 493-506, 2014 | 308 | 2014 |
| Pose-based temporal-spatial network (PTSN) for gait recognition with carrying and clothing variations R Liao, C Cao, EB Garcia, S Yu, Y Huang Biometric Recognition: 12th Chinese Conference, CCBR 2017, Shenzhen, China …, 2017 | 241 | 2017 |
| Invariant feature extraction for gait recognition using only one uniform model S Yu, H Chen, Q Wang, L Shen, Y Huang Neurocomputing 239, 81-93, 2017 | 224 | 2017 |
| Gait lateral network: Learning discriminative and compact representations for gait recognition S Hou, C Cao, X Liu, Y Huang European conference on computer vision, 382-398, 2020 | 216 | 2020 |
| Salient coding for image classification Y Huang, K Huang, Y Yu, T Tan IEEE conference on computer vision and pattern recognition, 1753-1760, 2011 | 181 | 2011 |
| Cross-view gait recognition by discriminative feature learning Y Zhang, Y Huang, S Yu, L Wang IEEE Transactions on Image Processing 29, 1001-1015, 2019 | 168 | 2019 |
| Opengait: Revisiting gait recognition towards better practicality C Fan, J Liang, C Shen, S Hou, Y Huang, S Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 158 | 2023 |
| Gaitnet: An end-to-end network for gait based human identification C Song, Y Huang, Y Huang, N Jia, L Wang Pattern recognition 96, 106988, 2019 | 138 | 2019 |
| Kinship verification with deep convolutional neural networks K Zhang, Y Huang, C Song, H Wu, L Wang British Machine Vision Conference, 2015 | 136 | 2015 |
| A comprehensive study on gait biometrics using a joint CNN-based method Y Zhang, Y Huang, L Wang, S Yu Pattern Recognition 93, 228-236, 2019 | 133 | 2019 |
| Learning representative deep features for image set analysis Z Wu, Y Huang, L Wang IEEE Transactions on Multimedia 17 (11), 1960-1968, 2015 | 114 | 2015 |
| Enhanced biologically inspired model for object recognition Y Huang, K Huang, D Tao, T Tan, X Li IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 88 | 2011 |
| Gaitedge: Beyond plain end-to-end gait recognition for better practicality J Liang, C Fan, S Hou, C Shen, Y Huang, S Yu European Conference on Computer Vision, 375-390, 2022 | 87 | 2022 |
Liang WangNational Lab of Pattern RecognitionVerified email at nlpr.ia.ac.cn
