| 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 | 708 | 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 | 564 | 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 | 501 | 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, 2015 | 357 | 2015 |
| Human detection from images and videos: A survey DT Nguyen, W Li, PO Ogunbona Pattern Recognition 51, 148-175, 2016 | 354 | 2016 |
| RGB-D-based action recognition datasets: A survey J Zhang, W Li, PO Ogunbona, P Wang, C Tang Pattern Recognition 60, 86-105, 2016 | 328 | 2016 |
| Modelling context and syntactical features for aspect-based sentiment analysis MH Phan, PO Ogunbona Proceedings of the 58th annual meeting of the association for computational …, 2020 | 260 | 2020 |
| 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 | 197 | 2019 |
| 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 | 196 | 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 | 183 | 2017 |
| Signal analysis using a multiresolution form of the singular value decomposition R Kakarala, PO Ogunbona IEEE Transactions on Image processing 10 (5), 724-735, 2001 | 181 | 2001 |
| Cooperative training of deep aggregation networks for RGB-D action recognition P Wang, W Li, J Wan, P Ogunbona, X Liu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 124 | 2018 |
| Investigation of different skeleton features for cnn-based 3d action recognition Z Ding, P Wang, PO Ogunbona, W Li 2017 IEEE International conference on multimedia & expo workshops (ICMEW …, 2017 | 124 | 2017 |
| 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 | 120 | 2016 |
| 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 | 120 | 2015 |
| An efficient iterative algorithm for image thresholding L Dong, G Yu, P Ogunbona, W Li Pattern Recognition Letters 29 (9), 1311-1316, 2008 | 112 | 2008 |
| Discriminative key pose extraction using extended lc-ksvd for action recognition L Zhou, W Li, Y Zhang, P Ogunbona, DT Nguyen, H Zhang 2014 International conference on digital image computing: Techniques and …, 2014 | 101 | 2014 |
| Object detection using non-redundant local binary patterns DT Nguyen, Z Zong, P Ogunbona, W Li 2010 IEEE international conference on image processing, 4609-4612, 2010 | 101 | 2010 |
| On multiple watermarking NP Sheppard, R Safavi-Naini, P Ogunbona Proceedings of the 2001 workshop on Multimedia and security: new challenges, 3-6, 2001 | 88 | 2001 |
| Detection and separation of smoke from single image frames H Tian, W Li, PO Ogunbona, L Wang IEEE Transactions on Image Processing 27 (3), 1164-1177, 2017 | 87 | 2017 |
Wanqing LiProfessor, University of WollongongVerified email at uow.edu.au
