| 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, 2015 | 293 | 2015 |
| HEp-2 cell image classification with deep convolutional neural networks Z Gao, L Wang, L Zhou, J Zhang IEEE journal of biomedical and health informatics 21 (2), 416-428, 2016 | 195 | 2016 |
| 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 Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 123 | 2017 |
| Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona Proceedings of the 23rd ACM international conference on Multimedia, 1119-1122, 2015 | 112 | 2015 |
| Depth pooling based large-scale 3-d action recognition with convolutional neural networks P Wang, W Li, Z Gao, C Tang, PO Ogunbona IEEE Transactions on Multimedia 20 (5), 1051-1061, 2018 | 106 | 2018 |
| Large-scale isolated gesture recognition using convolutional neural networks P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona 2016 23rd International Conference on Pattern Recognition (ICPR), 7-12, 2016 | 95 | 2016 |
| MDSSD: multi-scale deconvolutional single shot detector for small objects L Cui, R Ma, P Lv, X Jiang, Z Gao, B Zhou, M Xu arXiv preprint arXiv:1805.07009, 2018 | 88 | 2018 |
| Deep convolutional neural networks for action recognition using depth map sequences P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona arXiv preprint arXiv:1501.04686, 2015 | 61 | 2015 |
| Large-scale continuous gesture recognition using convolutional neural networks P Wang, W Li, S Liu, Y Zhang, Z Gao, P Ogunbona 2016 23rd International Conference on Pattern Recognition (ICPR), 13-18, 2016 | 51 | 2016 |
| Hep-2 cell image classification with convolutional neural networks Z Gao, J Zhang, L Zhou, L Wang 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 51 | 2014 |
| Structured images for RGB-D action recognition P Wang, S Wang, Z Gao, Y Hou, W Li Proceedings of the IEEE international conference on computer vision …, 2017 | 50 | 2017 |
| Mining mid-level features for action recognition based on effective skeleton representation P Wang, W Li, P Ogunbona, Z Gao, H Zhang 2014 International Conference on Digital Image Computing: Techniques and …, 2014 | 50 | 2014 |
| Trear: Transformer-based RGB-D Egocentric Action Recognition X Li, Y Hou, P Wang, Z Gao, M Xu, W Li IEEE Transactions on Cognitive and Developmental Systems, 1-7, 2021 | 32 | 2021 |
| Spatially and temporally structured global to local aggregation of dynamic depth information for action recognition Y Hou, S Wang, P Wang, Z Gao, W Li IEEE Access 6, 2206-2219, 2017 | 19 | 2017 |
| A review of dynamic maps for 3D human motion recognition using ConvNets and its improvement Z Gao, P Wang, H Wang, M Xu, W Li Neural Processing Letters 52 (2), 1501-1515, 2020 | 18 | 2020 |
| Transformer guided geometry model for flow-based unsupervised visual odometry X Li, Y Hou, P Wang, Z Gao, M Xu, W Li Neural Computing and Applications, 1-12, 2021 | 13 | 2021 |
| Context-aware block net for small object detection L Cui, P Lv, X Jiang, Z Gao, B Zhou, L Zhang, L Shao, M Xu IEEE Transactions on cybernetics, 2020 | 13 | 2020 |
| A novel rate control algorithm for video coding based on fuzzy-PID controller Y Hou, P Wang, W Xiang, Z Gao, C Hou Signal, Image and Video Processing 9 (4), 875-884, 2015 | 13 | 2015 |
| A probabilistic approach to cross-region matching-based image retrieval Z Gao, L Wang, L Zhou IEEE Transactions on Image Processing 28 (3), 1191-1204, 2019 | 12 | 2019 |
| Cognition-driven traffic simulation for unstructured road networks H Wang, XY He, LY Chen, JR Yin, L Han, H Liang, FB Zhu, RJ Zhu, ... Journal of Computer Science and Technology 35 (4), 875-888, 2020 | 4 | 2020 |
Pichao WANGDAMO Academy, Alibaba Group (U.S.) Inc.Verified email at alibaba-inc.com
