| AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation X Liu, S Li, M Kan, J Zhang, S Wu, W Liu, H Han, S Shan, X Chen The IEEE International Conference on Computer Vision (ICCV) Workshops, 2015 | 183 | 2015 |
| Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness S Wu, M Kan, Z He, S Shan, X Chen Neurocomputing 221, 138-145, 2017 | 134 | 2017 |
| Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks X Shi, S Shan, M Kan, S Wu, X Chen The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 132 | 2018 |
| Face Recognition with Contrastive Convolution C Han, S Shan, M Kan, S Wu, X Chen The European Conference on Computer Vision (ECCV), 2018 | 57 | 2018 |
| Hierarchical Attention for Part-Aware Face Detection S Wu, M Kan, S Shan, X Chen International Journal of Computer Vision (IJCV), 2019 | 37 | 2019 |
| Cluster ensemble-based image segmentation X Wang, J Du, S Wu, X Li, F Li International Journal of Advanced Robotic Systems 10 (7), 297, 2013 | 27 | 2013 |
| Attribute group editing for reliable few-shot image generation G Ding, X Han, S Wang, S Wu, X Jin, D Tu, Q Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 24 | 2022 |
| Face Anti-Spoofing with Multi-Scale Information S Luo, M Kan, S Wu, X Chen, S Shan The International Conference on Pattern Recognition (ICPR), 2018 | 16 | 2018 |
| 深度学习: 多层神经网络的复兴与变革 山世光， 阚美娜， 刘昕， 刘梦怡， 邬书哲 科技导报 34 (14), 60-70, 2016 | 15 | 2016 |
| Personalized convolution for face recognition C Han, S Shan, M Kan, S Wu, X Chen International journal of computer vision 130 (2), 344-362, 2022 | 14 | 2022 |
| Hierarchical compositional representations for few-shot action recognition C Li, J Zhang, S Wu, X Jin, S Shan Computer Vision and Image Understanding 240, 103911, 2024 | 12 | 2024 |
| High-level semantic image annotation based on hot Internet topics X Wang, J Du, S Wu, X Li, H Xin, Y Zhang, F Li Multimedia Tools and Applications 74, 2055-2084, 2015 | 12 | 2015 |
| Deep Learning: The revival and transformation of multi layer neural networks S SHAN, M KAN, X LIU, M LIU, S WU Science & Technology Review 34 (14), 60-70, 2016 | 7 | 2016 |
| Data-efficient masked video modeling for self-supervised action recognition Q Li, X Huang, Z Wan, L Hu, S Wu, J Zhang, S Shan, Z Wang Proceedings of the 31st ACM International Conference on Multimedia, 2723-2733, 2023 | 6 | 2023 |
| Adaptive Region Clustering in LDA Framework for Image Segmentation X Wang, J Du, S Wu, F Li The Chinese Intelligent Automation Conference, 2013 | 4 | 2013 |
| Dual Sampling Based Causal Intervention for Face Anti-Spoofing With Identity Debiasing X Long, J Zhang, S Wu, X Jin, S Shan IEEE Transactions on Information Forensics and Security, 2023 | 3 | 2023 |
| Plpl-vio: a novel probabilistic line measurement model for point-line-based visual-inertial odometry Z Xu, H Wei, F Tang, Y Zhang, Y Wu, G Ma, S Wu, X Jin 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 3 | 2023 |
| Method, Apparatus, and Computing Device for Updating AI Model, and Storage Medium S Wu, X Jin, X Li, D Tu US Patent App. 18/158,019, 2023 | 1 | 2023 |
| Meta-Learning with Individualized Feature Space for Few-Shot Classification C Han, S Shan, M Kan, S Wu, X Chen | 1 | 2018 |
| Region clustering with high level semantics for image segmentation S Wu, X Wang, Q Ye, J Dong 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence …, 2012 | 1 | 2012 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
