| 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 | 3795 | 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 | 2807 | 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 | 2151 | 2020 |
| 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 | 1639 | 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 | 1465 | 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 | 1220 | 2015 |
| 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 | 1183 | 2016 |
| 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 | 1086* | 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 | 948 | 2020 |
| CLIP-Adapter: Better vision-language models with feature adapters P Gao, S Geng, R Zhang, T Ma, R Fang, Y Zhang, H Li, Y Qiao International Journal of Computer Vision 132 (2), 581-595, 2024 | 880 | 2024 |
| 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 | 766* | 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 | 746 | 2020 |
| Internimage: Exploring large-scale vision foundation models with deformable convolutions W Wang, J Dai, Z Chen, Z Huang, Z Li, X Zhu, X Hu, T Lu, L Lu, H Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 708 | 2023 |
| 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 | 697 | 2019 |
| Llama-adapter: Efficient fine-tuning of language models with zero-init attention R Zhang, J Han, C Liu, P Gao, A Zhou, X Hu, S Yan, P Lu, H Li, Y Qiao arXiv preprint arXiv:2303.16199, 2023 | 669 | 2023 |
| 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 | 649 | 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 | 639 | 2020 |
| 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 | 619 | 2017 |
| 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 | 602 | 2015 |
| Cylindrical and asymmetrical 3d convolution networks for LiDAR segmentation X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 601 | 2021 |
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongEmail confirmado em ee.cuhk.edu.hk
