| StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017 | 1478 | 2017 |
| Learning deep feature representations with domain guided dropout for person re-identification T Xiao, H Li, W Ouyang, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 807 | 2016 |
| Cross-scene crowd counting via deep convolutional neural networks C Zhang, H Li, X Wang, X Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 767 | 2015 |
| Saliency detection by multi-context deep learning R Zhao, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 758 | 2015 |
| DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... IEEE transactions on pattern analysis and machine intelligence 39 (7), 1320-1334, 2017 | 421* | 2017 |
| StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 41 (8), 1947-1962, 2019 | 390 | 2019 |
| Pointrcnn: 3d object proposal generation and detection from point cloud S Shi, X Wang, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 368 | 2019 |
| DeepID-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 361 | 2015 |
| Learning feature pyramids for human pose estimation W Yang, S Li, W Ouyang, H Li, X Wang Proceedings of the IEEE International Conference on Computer Vision, 1281-1290, 2017 | 269 | 2017 |
| Object detection from video tubelets with convolutional neural networks K Kang, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 265 | 2016 |
| T-CNN: Tubelets with convolutional neural networks for object detection from videos K Kang, H Li, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ... IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 241 | 2017 |
| Automatic image annotation using group sparsity S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 219 | 2010 |
| End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation W Yang, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 208 | 2016 |
| Structured feature learning for pose estimation X Chu, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 197 | 2016 |
| 3d human pose estimation in the wild by adversarial learning W Yang, W Ouyang, X Wang, J Ren, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 182 | 2018 |
| Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification Z Wang, L Tang, X Liu, Z Yao, S Yi, J Shao, J Yan, S Wang, H Li, X Wang Proceedings of the IEEE International Conference on Computer Vision, 379-387, 2017 | 178 | 2017 |
| Understanding pedestrian behaviors from stationary crowd groups S Yi, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 176 | 2015 |
| Learning deep neural networks for vehicle re-id with visual-spatio-temporal path proposals Y Shen, T Xiao, H Li, S Yi, X Wang Proceedings of the IEEE International Conference on Computer Vision, 1900-1909, 2017 | 169 | 2017 |
| Online multi-object tracking using CNN-based single object tracker with spatial-temporal attention mechanism Q Chu, W Ouyang, H Li, X Wang, B Liu, N Yu Proceedings of the IEEE International Conference on Computer Vision, 4836-4845, 2017 | 160 | 2017 |
| Learning spatial regularization with image-level supervisions for multi-label image classification F Zhu, H Li, W Ouyang, N Yu, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 151 | 2017 |
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
