| Action recognition based on a bag of 3d points W Li, Z Zhang, Z Liu 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 1840 | 2010 |
| Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN S Li, W Li, C Cook, C Zhu, Y Gao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 1034 | 2018 |
| Joint geometrical and statistical alignment for visual domain adaptation J Zhang, W Li, P Ogunbona Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 637 | 2017 |
| Importance Weighted Adversarial Nets for Partial Domain Adaptation J Zhang, Z Ding, W Li, P Ogunbona Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 496 | 2018 |
| 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 | 442 | 2018 |
| Action recognition based on joint trajectory maps using convolutional neural networks P Wang, Z Li, Y Hou, W Li Proceedings of the 24th ACM international conference on Multimedia, 102-106, 2016 | 397 | 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 | 378 | 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 | 350 | 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 | 347 | 2017 |
| Human Detection from Images and Videos: A Survey DT Nguyen, W Li, PO Ogunbona Pattern Recognition, 2015 | 317 | 2015 |
| RGB-D-based action recognition datasets: A survey J Zhang, W Li, PO Ogunbona, P Wang, C Tang Pattern Recognition 60, 86-105, 2016 | 304 | 2016 |
| 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 | 232 | 2018 |
| Skeleton-based action recognition using LSTM and CNN C Li, P Wang, S Wang, Y Hou, W Li 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 220 | 2017 |
| Expandable data-driven graphical modeling of human actions based on salient postures W Li, Z Zhang, Z Liu IEEE Transactions on Circuits and Systems for Video Technology 18 (11), 1499 …, 2008 | 205 | 2008 |
| 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 | 173 | 2018 |
| 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 | 170 | 2017 |
| Recent advances in transfer learning for cross-dataset visual recognition: A problem-oriented perspective J Zhang, W Li, P Ogunbona, D Xu ACM Computing Surveys (CSUR) 52 (1), 1-38, 2019 | 130 | 2019 |
| A geometric approach to cluster validity for normal mixtures JC Bezdek, WQ Li, Y Attikiouzel, M Windham Soft Computing 1 (4), 166-179, 1997 | 128 | 1997 |
| 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 | 124 | 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 Proceedings of the 23rd ACM international conference on Multimedia, 1119-1122, 2015 | 119 | 2015 |
Philip O. OgunbonaProfessor of Computer Science, University of WollongongVerified email at uow.edu.au
