| 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 | 593 | 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 | 530 | 2019 |
| 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 | 228 | 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 | 227* | 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 | 160 | 2022 |
| 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 | 80 | 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 | 51 | 2022 |
| 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 | 31 | 2021 |
| 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 | 23 | 2023 |
| SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model AC Cheng, H Yin, Y Fu, Q Guo, R Yang, J Kautz, X Wang, S Liu arXiv preprint arXiv:2406.01584, 2024 | 22 | 2024 |
| Learning generalizable feature fields for mobile manipulation RZ Qiu, Y Hu, G Yang, Y Song, Y Fu, J Ye, J Mu, R Yang, N Atanasov, ... arXiv preprint arXiv:2403.07563, 2024 | 15 | 2024 |
| 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 | 13* | 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 | 10 | 2019 |
| 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 | 9 | 2024 |
| 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 | 8 | 2024 |
| Vessel detection on cerebral angiograms using convolutional neural networks Y Fu, J Fang, B Quachtran, N Chachkhiani, F Scalzo Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las
, 2016 | 5 | 2016 |
| 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 | 3 | 2024 |
| 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 | 3 | 2024 |
| 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 | 3 | 2022 |
| Techniques for fine-tuning a machine learning model to reconstruct a three-dimensional scene Y Fu, S Liu, J Kautz, X Li, S De Mello, A Kulkarni, M Naphade US Patent App. 18/497,945, 2024 | | 2024 |
Humphrey ShiGeorgia Tech | UIUC, Oregon | Picsart AI Research (PAIR)Patvirtintas el. paštas gatech.edu
