| Harmonious Attention Network for Person Re-identification W Li, X Zhu, S Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 1597 | 2018 |
| Transferable Joint Attribute-identity Deep Learning for Unsupervised Person Re-identification J Wang, X Zhu, S Gong, W Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 693 | 2018 |
| Person Re-identification by Deep Joint Learning of Multi-loss Classification W Li, X Zhu, S Gong International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 507 | 2017 |
| A Simple Feature Augmentation for Domain Generalization P Li, D Li, W Li, S Gong, Y Fu, TM Hospedales IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 179 | 2021 |
| Attribute Recognition by Joint Recurrent Learning of Context and Correlation J Wang, X Zhu, S Gong, W Li IEEE/CVF International Conference on Computer Vision (ICCV), 2017 | 165 | 2017 |
| Open-Vocabulary DETR with Conditional Matching Y Zang, W Li, K Zhou, C Huang, CC Loy European Conference on Computer Vision (ECCV), 2022 | 156 | 2022 |
| Semi-Supervised Learning under Class Distribution Mismatch Y Chen, X Zhu, W Li, S Gong AAAI Conference on Artificial Intelligence (AAAI), 2020 | 154 | 2020 |
| Unified Vision and Language Prompt Learning Y Zang, W Li, K Zhou, C Huang, CC Loy arXiv preprint arXiv:2210.07225, 2022 | 121 | 2022 |
| DeepInteraction: 3D Object Detection via Modality Interaction Z Yang, J Chen, Z Miao, W Li, X Zhu, L Zhang Advances in Neural Information Processing Systems (NeurIPS), 2022 | 97 | 2022 |
| Masked Frequency Modeling for Self-supervised Visual Pre-training J Xie, W Li, X Zhan, Z Liu, YS Ong, CC Loy International Conference on Learning Representations (ICLR), 2023 | 46 | 2023 |
| Contextual Object Detection with Multimodal Large Language Models Y Zang, W Li, J Han, K Zhou, CC Loy International Journal of Computer Vision (IJCV), 2024 | 37 | 2024 |
| Scalable Person Re-identification by Harmonious Attention W Li, X Zhu, S Gong International Journal of Computer Vision (IJCV), 2019 | 31 | 2019 |
| Neural Graph Embedding for Neural Architecture Search W Li, S Gong, X Zhu AAAI Conference on Artificial Intelligence (AAAI), 2020 | 28 | 2020 |
| OMG-Seg: Is One Model Good Enough For All Segmentation? X Li, H Yuan, W Li, H Ding, S Wu, W Zhang, Y Li, K Chen, CC Loy IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 24 | 2024 |
| Ground-based Cloud Image Categorization using Deep Convolutional Visual Features L Ye, Z Cao, Y Xiao, W Li IEEE International Conference on Image Processing (ICIP), 2015 | 21 | 2015 |
| Mosaicfusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation J Xie, W Li, X Li, Z Liu, YS Ong, CC Loy arXiv preprint arXiv:2309.13042, 2023 | 20 | 2023 |
| Hierarchical Distillation Learning for Scalable Person Search W Li, S Gong, X Zhu Pattern Recognition, 2021 | 17 | 2021 |
| Siamese DETR G Huang, W Li, K Wang, Z Chen, J Shao, CC Loy, L Sheng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 9* | 2023 |
| Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies X Xing, Y Li, W Li, W Ding, Y Jiang, Y Wang, J Shao, C Liu, X Liu European Conference on Computer Vision (ECCV), 2022 | 9 | 2022 |
| Correlational Image Modeling for Self-Supervised Visual Pre-Training W Li, J Xie, CC Loy IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 6 | 2023 |
Shaogang GongQueen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
