| 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 | 1960 | 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 | 1224 | 2016 |
| 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 | 662 | 2018 |
| 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 | 601 | 2017 |
| 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 | 542 | 2013 |
| 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 | 474 | 2019 |
| Unbiased mean teacher for cross-domain object detection J Deng, W Li, Y Chen, L Duan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 459 | 2021 |
| 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 | 458 | 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 | 379 | 2018 |
| Semantic-aware domain generalized segmentation D Peng, Y Lei, M Hayat, Y Guo, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 349 | 2022 |
| 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 | 340 | 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 | 322 | 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 | 255 | 2013 |
| 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 | 217 | 2014 |
| 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 | 172 | 2019 |
| 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 | 166 | 2016 |
| STST: Spatial-temporal specialized transformer for skeleton-based action recognition Y Zhang, B Wu, W Li, L Duan, C Gan Proceedings of the 29th ACM International Conference on Multimedia, 3229-3237, 2021 | 164 | 2021 |
| Scale-aware domain adaptive faster r-cnn Y Chen, H Wang, W Li, C Sakaridis, D Dai, L Van Gool International Journal of Computer Vision 129 (7), 2223-2243, 2021 | 162 | 2021 |
| Revisiting random channel pruning for neural network compression Y Li, K Adamczewski, W Li, S Gu, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 158 | 2022 |
| 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 | 155 | 2011 |
Lixin DuanData Intelligence Group (DIG) @ UESTCVerified email at uestc.edu.cn
