Mis-classified vector guided softmax loss for face recognition X Wang, S Zhang, S Wang, T Fu, H Shi, T Mei Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12241 …, 2020 | 167 | 2020 |
Learning meta model for zero-and few-shot face anti-spoofing Y Qin, C Zhao, X Zhu, Z Wang, Z Yu, T Fu, F Zhou, J Shi, Z Lei Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11916 …, 2020 | 136 | 2020 |
Exclusivity-consistency regularized knowledge distillation for face recognition X Wang, T Fu, S Liao, S Wang, Z Lei, T Mei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 57 | 2020 |
Improved selective refinement network for face detection S Zhang, R Zhu, X Wang, H Shi, T Fu, S Wang, T Mei, SZ Li arXiv preprint arXiv:1901.06651, 2019 | 44 | 2019 |
Support vector guided softmax loss for face recognition X Wang, S Wang, S Zhang, T Fu, H Shi, T Mei arXiv preprint arXiv:1812.11317, 2018 | 44 | 2018 |
Meta anti-spoofing: Learning to learn in face anti-spoofing C Zhao, Y Qin, Z Wang, T Fu, H Shi arXiv preprint arXiv:1904.12490, 2019 | 10 | 2019 |
Countermeasures to face photo spoofing attacks by exploiting structure and texture information from rotated face sequences Z Lei, W Tao, X Zhu, T Fu, SZ Li Mobile Biometrics 2, 5, 2017 | 1 | 2017 |
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding M Wu, C Zhao, A Su, D Di, T Fu, D An, M He, Y Gao, M Ma, K Yan, ... arXiv preprint arXiv:2407.08150, 2024 | | 2024 |