| 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 | 2838 | 2017 |
| PointRCNN: 3D object proposal generation and detection from point cloud S Shi, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1713 | 2019 |
| 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 | 1263 | 2015 |
| 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 | 1157 | 2019 |
| PV-RCNN: Point-voxel feature set abstraction for 3D object detection S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1102 | 2020 |
| 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 | 1099 | 2016 |
| 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 | 1081 | 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 | 668* | 2017 |
| From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network S Shi, Z Wang, J Shi, X Wang, H Li IEEE transactions on pattern analysis and machine intelligence 43 (8), 2647-2664, 2020 | 632* | 2020 |
| From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network S Shi, Z Wang, J Shi, X Wang, H Li IEEE transactions on pattern analysis and machine intelligence 43 (8), 2647-2664, 2020 | 542 | 2020 |
| 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 | 538 | 2015 |
| 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 | 510 | 2017 |
| 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 | 510 | 2017 |
| Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Y Ge, D Chen, H Li International Conference on Learning Representations (ICLR) 2020, 2020 | 464 | 2020 |
| 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 | 441 | 2016 |
| Group-wise correlation stereo network X Guo, K Yang, W Yang, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 394 | 2019 |
| 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 | 394 | 2018 |
| 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 | 377 | 2017 |
| 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 | 359 | 2017 |
| Self-paced contrastive learning with hybrid memory for domain adaptive object re-id Y Ge, F Zhu, D Chen, R Zhao, H Li Advances in Neural Information Processing Systems 33, 11309-11321, 2020 | 350 | 2020 |
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
