| Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification Y Fu, Y Wei, G Wang, Y Zhou, H Shi, TS Huang IEEE/CVF International Conference on Computer Vision (ICCV), 6112-6121, 2019 | 646 | 2019 |
| Horizontal pyramid matching for person re-identification Y Fu, Y Wei, Y Zhou, H Shi, G Huang, X Wang, Z Yao, T Huang AAAI Conference on Artificial Intelligence (AAAI) 33 (01), 8295-8302, 2019 | 593 | 2019 |
| Spatialrgpt: Grounded spatial reasoning in vision-language models AC Cheng, H Yin, Y Fu, Q Guo, R Yang, J Kautz, X Wang, S Liu Advances in Neural Information Processing Systems 37, 135062-135093, 2024 | 284 | 2024 |
| Dexmv: Imitation learning for dexterous manipulation from human videos Y Qin, YH Wu, S Liu, H Jiang, R Yang, Y Fu, X Wang European Conference on Computer Vision (ECCV), 570-587, 2022 | 280 | 2022 |
| Sta: Spatial-temporal attention for large-scale video-based person re-identification Y Fu, X Wang, Y Wei, T Huang AAAI conference on artificial intelligence (AAAI) 33 (01), 8287-8294, 2019 | 272 | 2019 |
| COLMAP-Free 3D Gaussian Splatting Y Fu, S Liu, A Kulkarni, J Kautz, AA Efros, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 242 | 2024 |
| Compfeat: Comprehensive feature aggregation for video instance segmentation Y Fu, L Yang, D Liu, TS Huang, H Shi AAAI Conference on Artificial Intelligence (AAAI) 35 (2), 1361-1369, 2021 | 89 | 2021 |
| Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset Y Fu, X Wang Advances in Neural Information Processing Systems (NeurIPS) 35, 27469-27483, 2022 | 82 | 2022 |
| Rgbd objects in the wild: Scaling real-world 3d object learning from rgb-d videos H Xia, Y Fu, S Liu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 43 | 2024 |
| Learning to track instances without video annotations Y Fu, S Liu, U Iqbal, S De Mello, H Shi, J Kautz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8680-8689, 2021 | 39 | 2021 |
| A construct-optimize approach to sparse view synthesis without camera pose K Jiang, Y Fu, M Varma T, Y Belhe, X Wang, H Su, R Ramamoorthi ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 37 | 2024 |
| Hoidiffusion: Generating realistic 3d hand-object interaction data M Zhang, Y Fu, Z Ding, S Liu, Z Tu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 36 | 2024 |
| Learning generalizable feature fields for mobile manipulation RZ Qiu, Y Hu, Y Song, G Yang, Y Fu, J Ye, J Mu, R Yang, N Atanasov, ... arXiv preprint arXiv:2403.07563, 2024 | 32 | 2024 |
| Self-supervised geometric correspondence for category-level 6d object pose estimation in the wild K Zhang, Y Fu, S Borse, H Cai, F Porikli, X Wang International Conference on Learning Representations (ICLR), 2023 | 32 | 2023 |
| MonoNeRF: learning generalizable NeRFs from monocular videos without camera poses Y Fu, I Misra, X Wang International Conference on Machine Learning (ICML), 10392-10404, 2023 | 22* | 2023 |
| A novel framework for 3d-2d vertebra matching H Yu, Y Fu, H Yu, Y Wei, X Wang, J Jiao, M Bramlet, T Kesavadas, H Shi, ... 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 11 | 2019 |
| 3d aware region prompted vision language model AC Cheng, Y Fu, Y Chen, Z Liu, X Li, S Radhakrishnan, S Han, Y Lu, ... arXiv preprint arXiv:2509.13317, 2025 | 8 | 2025 |
| Rev: A video engine for object re-identification at the city scale T Xu, K Shen, Y Fu, H Shi, FX Lin 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 189-202, 2022 | 7 | 2022 |
| 3D Reconstruction with Generalizable Neural Fields using Scene Priors Y Fu, S De Mello, X Li, A Kulkarni, J Kautz, X Wang, S Liu International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
| Vessel detection on cerebral angiograms using convolutional neural networks Y Fu, J Fang, B Quachtran, N Chachkhiani, F Scalzo International Symposium on Visual Computing, 659-668, 2016 | 5 | 2016 |