| Domain adaptive faster r-cnn for object detection in the wild Y Chen, W Li, C Sakaridis, D Dai, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 719 | 2018 |
| Deep reconstruction-classification networks for unsupervised domain adaptation M Ghifary, WB Kleijn, M Zhang, D Balduzzi, W Li European conference on computer vision, 597-613, 2016 | 702 | 2016 |
| Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation W Li, L Duan, D Xu, IW Tsang IEEE transactions on pattern analysis and machine intelligence 36 (6), 1134-1148, 2013 | 379 | 2013 |
| Collaborative and adversarial network for unsupervised domain adaptation W Zhang, W Ouyang, W Li, D Xu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 345 | 2018 |
| Appearance-and-relation networks for video classification L Wang, W Li, W Li, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 272 | 2018 |
| Road: Reality oriented adaptation for semantic segmentation of urban scenes Y Chen, W Li, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 241 | 2018 |
| Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild Z Cui, W Li, D Xu, S Shan, X Chen CVPR, 2013 | 238 | 2013 |
| Webvision database: Visual learning and understanding from web data W Li, L Wang, W Li, E Agustsson, L Van Gool arXiv preprint arXiv:1708.02862, 2017 | 207 | 2017 |
| Dlow: Domain flow for adaptation and generalization R Gong, W Li, Y Chen, LV Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 189 | 2019 |
| Exploiting low-rank structure from latent domains for domain generalization Z Xu, W Li, L Niu, D Xu European Conference on Computer Vision, 628-643, 2014 | 166 | 2014 |
| Image classification by cross-media active learning with privileged information Y Yan, F Nie, W Li, C Gao, Y Yang, D Xu IEEE Transactions on Multimedia 18 (12), 2494-2502, 2016 | 139 | 2016 |
| Learning semantic segmentation from synthetic data: A geometrically guided input-output adaptation approach Y Chen, W Li, X Chen, LV Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 138 | 2019 |
| Unsupervised domain adaptation for face anti-spoofing H Li, W Li, H Cao, S Wang, F Huang, AC Kot IEEE Transactions on Information Forensics and Security 13 (7), 1794-1809, 2018 | 138 | 2018 |
| Text-based image retrieval using progressive multi-instance learning W Li, L Duan, D Xu, IWH Tsang 2011 international conference on computer vision, 2049-2055, 2011 | 111 | 2011 |
| Improving web image search by bag-based reranking L Duan, W Li, IWH Tsang, D Xu IEEE Transactions on Image Processing 20 (11), 3280-3290, 2011 | 97 | 2011 |
| Domain generalization and adaptation using low rank exemplar SVMs W Li, Z Xu, D Xu, D Dai, L Van Gool IEEE transactions on pattern analysis and machine intelligence 40 (5), 1114-1127, 2017 | 96 | 2017 |
| Distance metric learning using privileged information for face verification and person re-identification X Xu, W Li, D Xu IEEE transactions on neural networks and learning systems 26 (12), 3150-3162, 2015 | 96 | 2015 |
| Sliced wasserstein generative models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, LV Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 86 | 2019 |
| Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. Y Yan, W Li, H Wu, H Min, M Tan, Q Wu IJCAI 7, 2969-2975, 2018 | 77 | 2018 |
| Recognizing RGB images by learning from RGB-D data L Chen, W Li, D Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 77 | 2014 |
Dong Xu, Chair in Computer Engineeri...University of SydneyVerified email at sydney.edu.au
