个人简介
招生专业
081203-计算机应用技术
招生方向
计算机视觉，模式识别，视听语言感知与理解
工作简历
2020-10~现在, 中国科学院计算技术研究所, 副研究员
2016-07~2020-09,中国科学院计算技术研究所, 助理研究员
科研活动
[1] NSFC青年基金项目：融合概率图模型与深度学习的图像序列分类，项目负责人；
[2] NSFC面上项目：面向真实监控场景的行人再识别关键问题研究，子课题负责人；
[3] 大中型企业委托项目，多模态识别技术合作项目，项目负责人
[4] 大中型企业委托项目，语音驱动的高质量说话视频合成，项目负责人
[5] 中科院计算所百星计划，项目负责人
[6] 科技创新2030-重大项目，开放场景下的行为识别，骨干成员
[7] 国家重点研发计划，下一代深度学习理论、方法与关键技术，骨干成员
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
《机器学习·应用视角》，机械工业出版社，合译，2020
Mutual Information Maximization for Effective Lip Reading, X Zhao, S Yang, S Shan, X Chen, IEEE International Conference on Automatic Face and Gesture Recognition, 2020
Deformation Flow Based Two-Stream Network for Lip Reading, J Xiao, S Yang, Y Zhang, S Shan, X Chen, IEEE International Conference on Automatic Face and Gesture Recognition, 2020
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading, M Luo, S Yang, S Shan, X Chen, IEEE International Conference on Automatic Face and Gesture Recognition, 2020
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition, Y Zhang, S Yang, J Xiao, S Shan, X Chen, IEEE International Conference on Automatic Face and Gesture Recognition, 2020
A Novel Pseudo Viewpoint based Holoscopic 3D Micro-Gesture Recognition,Y Liu, S Yang, H Meng, MR Swash, S Shan, ACM ICMI, 2020
Synchronous Bidirectional Learning for Multilingual Lip Reading, M Luo, S Yang, X Chen, Z Liu, S Shan, The British Machine Vision Conference (BMVC), 2020
LRW-1000: A naturally-distributed large-scale benchmark for lip reading in the wild, S Yang, Y Zhang, D Feng, M Yang, C Wang, J Xiao, K Long, S Shan, X Chen, IEEE International Conference on Automatic Face & Gesture Recognition, 2019
Multi-Task Learning for Audio-Visual Active Speaker Detection, YH Zhang, J Xiao, S Yang, S Shan, The ActivityNet Large-Scale Activity Recognition Challenge @ CVPR 2019,2019
TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation, S Li, L Wang, S Yang, Y Wang, C Wang, International Conference on Neural Information Processing, 2017
The Class-specific Oriented Attributes for Action Recognition, H Yang, B Wu, S Yang, C Yuan, W Hu, Chinese Association for Artificial Inteeligence, 2016
Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition, W Sun, C Yuan, P Wang, S Yang, W Hu, Z Cai, Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016
Multi-feature max-margin hierarchical bayesian model for action recognition, S Yang, C Yuan, B Wu, W Hu, F Wang, Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, 2015
Human Action Recognition Based on Oriented Motion Salient Regions, B Wu, S Yang, C Yuan, W Hu, F Wang, Asian Conference on Computer Vision Workshop, 2014
A hierarchical model based on latent dirichlet allocation for action recognition, S Yang, C Yuan, W Hu, X Ding, International Conference on Pattern Recognition, 2014
Learning human actions by combining global dynamics and local appearance, G Luo, S Yang, G Tian, C Yuan, W Hu, SJ Maybank, IEEE transactions on pattern analysis and machine intelligence, 2014
Combining sparse appearance features and dense motion features via random forest for action detection,S Yang, C Yuan, H Wang, W Hu, IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Multi-task sparse learning with beta process prior for action recognition, C Yuan, W Hu, G Tian, S Yang, H Wang, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
Online Detection and Tracking Method of Foreign Substances in Ampoules in High-speed Pharmaceutical Lines, S Yang, Y Wang, Chinese Journal of Scientific Instrument, 2011
A Detection System for Impurity of Ampoule Injection Based on Machine-vision, S Yang, Y Wang, Optp-Electronic Engineering
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