Transreid: Transformer-based object re-identification S He, H Luo, P Wang, F Wang, H Li, W Jiang IEEE International Conference on Computer Vision (ICCV), 2021 | 792 | 2021 |
RGB-D-based human motion recognition with deep learning: A survey P Wang, W Li, P Ogunbona, J Wan, S Escalera Computer Vision and Image Understanding 171, 118-139, 2018 | 424 | 2018 |
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks P Wang, Z Li, Y Hou, W Li ACM international conference on Multimedia (ACM MM), 102-106, 2016 | 379 | 2016 |
Skeleton Optical Spectra Based Action Recognition Using Convolutional Neural Networks Y Hou, Z Li, P Wang, W Li IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 807 - 811, 2018 | 367 | 2018 |
Action recognition from depth maps using deep convolutional neural networks P Wang, W Li, Z Gao, J Zhang, C Tang, PO Ogunbona IEEE Transactions on Human-Machine Systems 46 (4), 498-509, 2016 | 339 | 2016 |
Joint distance maps based action recognition with convolutional neural networks C Li, Y Hou, P Wang, W Li IEEE Signal Processing Letters 24 (5), 624-628, 2017 | 336 | 2017 |
RGB-D-based Action Recognition Datasets: A Survey J Zhang, W Li, PO Ogunbona, P Wang, C Tang Pattern Recognition 60, 86-105, 2016 | 300 | 2016 |
Learning a joint affinity graph for multiview subspace clustering C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018 | 256 | 2018 |
Mhformer: Multi-hypothesis transformer for 3d human pose estimation W Li, H Liu, H Tang, P Wang, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 243 | 2022 |
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks P Wang, W Li, C Li, Y Hou Knowledge-Based Systems 158, 43-53, 2018 | 220 | 2018 |
Skeleton-based action recognition using LSTM and CNN C Li, P Wang, S Wang, Y Hou, W Li IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 585-590, 2017 | 211 | 2017 |
Cdtrans: Cross-domain transformer for unsupervised domain adaptation T Xu, W Chen, P Wang, F Wang, H Li, R Jin The International Conference on Learning Representations (ICLR), 2022 | 208 | 2022 |
Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation W Li, H Liu, R Ding, M Liu, P Wang, W Yang IEEE Transactions on Multimedia, 2021 | 204* | 2021 |
Scene flow to action map: A new representation for RGB-D based action recognition with convolutional neural networks P Wang, W Li, Z Gao, Y Zhang, C Tang, P Ogunbona IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 166 | 2017 |
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks P Wang, W Li, Z Gao, C Tang, P Ogunbona IEEE Transactions on Multimedia 20 (5), 1051 - 1061, 2018 | 164 | 2018 |
RobustTAD: Robust time series anomaly detection via decomposition and convolutional neural networks J Gao, X Song, Q Wen, P Wang, L Sun, H Xu ACM KDD 2020 Workshop on Mining and Learning from Time Series, 2020 | 153 | 2020 |
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021 | 128* | 2021 |
Robust unsupervised feature selection via dual self-representation and manifold regularization C Tang, X Liu, M Li, P Wang, J Chen, L Wang, W Li Knowledge-Based Systems 145, 109-120, 2018 | 120 | 2018 |
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona ACM international conference on Multimedia (ACM MM), 1119-1122, 2015 | 119 | 2015 |
Large-scale isolated gesture recognition using convolutional neural networks P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona International Conference on Pattern Recognition (ICPR), 2016 | 113 | 2016 |