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 | 544 | 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 | 484 | 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 | 205 | 2019 |
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 | 103 | 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 | 73 | 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 | 30 | 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 | 26 | 2021 |
Colmap-free 3d gaussian splatting Y Fu, S Liu, A Kulkarni, J Kautz, AA Efros, X Wang arXiv preprint arXiv:2312.07504, 2023 | 18 | 2023 |
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 | 15 | 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 | 9 | 2019 |
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 | 6* | 2023 |
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 | 4 | 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 | 2 | 2024 |
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos H Xia, Y Fu, S Liu, X Wang arXiv preprint arXiv:2401.12592, 2024 | 1 | 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 | 1 | 2022 |
TECHNIQUES FOR TRAINING A MACHINE LEARNING MODEL TO RECONSTRUCT DIFFERENT THREE-DIMENSIONAL SCENES Y FU, S Liu, J Kautz, X LI, S De Mello, A Kulkarni, M Naphade US Patent App. 18/497,938, 2024 | | 2024 |
TECHNIQUES FOR RECONSTRUCTING DIFFERENT THREE-DIMENSIONAL SCENES USING THE SAME TRAINED MACHINE LEARNING MODEL Y FU, S Liu, J Kautz, X LI, S De Mello, A Kulkarni, M Naphade US Patent App. 18/497,940, 2024 | | 2024 |
Machine learning framework applied in a semi-supervised setting to perform instance tracking in a sequence of image frames Y Fu, S Liu, U Iqbal, S De Mello, J Kautz US Patent App. 17/570,254, 2022 | | 2022 |