| Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations Y Zhang, ZF Yin, Y Li, G Yin, J Yan, J Shao, Z Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 87 | 2020 |
| INTERN: A New Learning Paradigm Towards General Vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 11 | 2021 |
| Few-Shot Domain Expansion for Face Anti-Spoofing B Yang, J Zhang, Z Yin, J Shao arXiv preprint arXiv:2106.14162, 2021 | 8 | 2021 |
| CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results Y Zhang, Z Yin, J Shao, Z Liu, S Yang, Y Xiong, W Xia, Y Xu, M Luo, J Liu, ... arXiv preprint arXiv:2102.12642, 2021 | 6 | 2021 |
| Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy Y Zhang, Q Sun, Y Zhou, Z He, Z Yin, K Wang, L Sheng, Y Qiao, J Shao, ... arXiv preprint arXiv:2203.07845, 2022 | 4 | 2022 |
| Benchmarking omni-vision representation through the lens of visual realms Y Zhang, Z Yin, J Shao, Z Liu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 1 | 2022 |
| X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Y He, G Huang, S Chen, J Teng, K Wang, Z Yin, L Sheng, Z Liu, Y Qiao, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 1 | 2022 |
| Robust Face Anti-Spoofing with Dual Probabilistic Modeling Y Zhang, Y Wu, Z Yin, J Shao, Z Liu arXiv preprint arXiv:2204.12685, 2022 | 1 | 2022 |
| 3D Point Cloud Pre-training with Knowledge Distillation from 2D Images Y Yao, Y Zhang, Z Yin, J Luo, W Ouyang, X Huang arXiv preprint arXiv:2212.08974, 2022 | | 2022 |
| Methods, apparatuses, devices, storage media and program products for determining performance parameters Y Zhang, Z Yin, YIN Guojun, J Shao US Patent App. 17/740,968, 2022 | | 2022 |
| One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data Y Wang, J Huang, M Gao, Y Wu, Z Yin, D Liang, J Yan arXiv preprint arXiv:2111.12386, 2021 | | 2021 |
| X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation (Supplementary Material) Y He, G Huang21, S Chen31, J Teng41, K Wang, Z Yin, L Sheng, Z Liu, ... Parameters 23, 11,761,825, 0 | | |
Jing ShaoResearch Director, SenseTime Group LTD在 sensetime.com 的电子邮件经过验证
