| 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 | 569 | 2018 |
| Model Compression using Progressive Channel Pruning J Guo, W Zhang, W Ouyang, D Xu IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 60 | 2020 |
| SRDAN: Scale-aware and Range-aware Domain Adaptation Networkfor Cross-dataset 3D Object Detection W Zhang, W Li, D Xu Proceedings of the IEEE conference on computer vision and pattern recognition, 2021 | 36 | 2021 |
| 3D Hand Pose Estimation with Disentangled Cross-Modal Latent Space J Gu, Z Wang, W Ouyang, W Zhang, J Li, L Zhuo The IEEE Winter Conference on Applications of Computer Vision, 391-400, 2020 | 23 | 2020 |
| Progressive modality cooperation for multi-modality domain adaptation W Zhang, D Xu, J Zhang, W Ouyang IEEE Transactions on Image Processing 30, 3293-3306, 2021 | 19 | 2021 |
| Method for training deep neural network and apparatus W Zhang, W Ouyang, D Xu, W Li, X Wu, J Liu, L Qian US Patent App. 17/033,316, 2021 | 14 | 2021 |
| Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation W Zhang, D Xu, W Ouyang, W Li IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (6), 2047 …, 2021 | | 2021 |
Wanli Ouyang (欧阳万里)Shanghai AI LabDirección de correo verificada de sydney.edu.au
