| S3fd: Single shot scale-invariant face detector S Zhang, X Zhu, Z Lei, H Shi, X Wang, SZ Li Proceedings of the IEEE international conference on computer vision, 192-201, 2017 | 245 | 2017 |
| Faceboxes: A CPU real-time face detector with high accuracy S Zhang, X Zhu, Z Lei, H Shi, X Wang, SZ Li 2017 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2017 | 80 | 2017 |
| Exclusivity-consistency regularized multi-view subspace clustering X Wang, X Guo, Z Lei, C Zhang, SZ Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 58 | 2017 |
| ScratchDet: Training single-shot object detectors from scratch R Zhu, S Zhang, X Wang, L Wen, H Shi, L Bo, T Mei Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 46 | 2019 |
| A dataset and benchmark for large-scale multi-modal face anti-spoofing S Zhang, X Wang, A Liu, C Zhao, J Wan, S Escalera, H Shi, Z Wang, SZ Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 43 | 2019 |
| Soft-margin softmax for deep classification X Liang, X Wang, Z Lei, S Liao, SZ Li International Conference on Neural Information Processing, 413-421, 2017 | 37 | 2017 |
| Deep person re-identification with improved embedding and efficient training H Jin, X Wang, S Liao, SZ Li 2017 IEEE International Joint Conference on Biometrics (IJCB), 261-267, 2017 | 24 | 2017 |
| Adaptively unified semi-supervised dictionary learning with active points X Wang, X Guo, SZ Li Proceedings of the IEEE International Conference on Computer Vision, 1787-1795, 2015 | 21 | 2015 |
| Ensemble soft-margin softmax loss for image classification X Wang, S Zhang, Z Lei, S Liu, X Guo, SZ Li arXiv preprint arXiv:1805.03922, 2018 | 19 | 2018 |
| 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 | 17 | 2018 |
| Latent semantic aware multi-view multi-label classification C Zhang, Z Yu, Q Hu, P Zhu, X Liu, X Wang Thirty-second AAAI conference on artificial intelligence, 2018 | 16 | 2018 |
| Co-mining: Deep face recognition with noisy labels X Wang, S Wang, J Wang, H Shi, T Mei Proceedings of the IEEE international conference on computer vision, 9358-9367, 2019 | 15 | 2019 |
| Detecting face with densely connected face proposal network S Zhang, X Zhu, Z Lei, X Wang, H Shi, SZ Li Neurocomputing 284, 119-127, 2018 | 14 | 2018 |
| Exclusivity regularized machine X Guo arXiv preprint arXiv:1603.08318, 2016 | 14 | 2016 |
| Cross-modality face recognition via heterogeneous joint bayesian H Shi, X Wang, D Yi, Z Lei, X Zhu, SZ Li IEEE Signal Processing Letters 24 (1), 81-85, 2016 | 13 | 2016 |
| Multi-view subspace clustering with intactness-aware similarity X Wang, Z Lei, X Guo, C Zhang, H Shi, SZ Li Pattern Recognition 88, 50-63, 2019 | 12 | 2019 |
| 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 | 11 | 2019 |
| Deep person re-identification with improved embedding H Jin, X Wang, S Liao, SZ Li arXiv preprint arXiv:1705.03332, 2017 | 10 | 2017 |
| Mis-classified vector guided softmax loss for face recognition X Wang, S Zhang, S Wang, T Fu, H Shi, T Mei arXiv preprint arXiv:1912.00833, 2019 | 8 | 2019 |
| Faceboxes: A CPU real-time and accurate unconstrained face detector S Zhang, X Wang, Z Lei, SZ Li Neurocomputing 364, 297-309, 2019 | 7 | 2019 |
Stan Z. LiWestlake University & CAS Institute of AutomationVerified email at westlake.edu.cn
