Hailin Shi
Hailin Shi
JD AI Research; previously Institute of Automation, Chinese Academy of Sciences
Verified email at jd.com - Homepage
Title
Cited by
Cited by
Year
Face alignment across large poses: A 3d solution
X Zhu, Z Lei, X Liu, H Shi, SZ Li
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5412016
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
2452017
Embedding deep metric for person re-identification: A study against large variations
H Shi, Y Yang, X Zhu, S Liao, Z Lei, W Zheng, SZ Li
European conference on computer vision, 732-748, 2016
2112016
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
802017
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
462019
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
432019
Constrained deep metric learning for person re-identification
H Shi, X Zhu, S Liao, Z Lei, Y Yang, SZ Li
arXiv preprint arXiv:1511.07545, 2015
362015
Metric embedded discriminative vocabulary learning for high-level person representation
Y Yang, Z Lei, S Zhang, H Shi, SZ Li
Thirtieth AAAI Conference on Artificial Intelligence, 2016
272016
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
172018
Large-scale bisample learning on id versus spot face recognition
X Zhu, H Liu, Z Lei, H Shi, F Yang, D Yi, G Qi, SZ Li
International Journal of Computer Vision 127 (6-7), 684-700, 2019
16*2019
Single-shot scale-aware network for real-time face detection
S Zhang, L Wen, H Shi, Z Lei, S Lyu, SZ Li
International Journal of Computer Vision 127 (6-7), 537-559, 2019
152019
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
152019
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
142018
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
132016
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
122019
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
112019
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
82019
Trends and controversies
H Proença, M Nixon, M Nappi, E Ghaleb, G Özbulak, H Gao, HK Ekenel, ...
IEEE Intelligent Systems 33 (3), 41-67, 2018
82018
Visdrone-vid2019: The vision meets drone object detection in video challenge results
P Zhu, D Du, L Wen, X Bian, H Ling, Q Hu, T Peng, J Zheng, X Wang, ...
Proceedings of the IEEE International Conference on Computer Vision …, 2019
72019
Learning discriminative features with class encoder
H Shi, X Zhu, Z Lei, S Liao, SZ Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
72016
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Articles 1–20