杨双，博士，中科院计算所副研究员，硕士生导师。研究领域为计算机视觉、模式识别、机器学习，目前主要以视频中运动模式的挖掘与学习为具体研究对象进行基础研究与应用性研究工作。目前累计发表学术论文18篇，获授权发明专利7项，软著1项，合编著作1部。获中科院计算所“学术百星”(2017)；所指导的研究生获VIPL最佳新人奖(2018)、所指导的本科生获中国科学院大学优秀本科毕业论文(2019)；获ActivityNet Challenge@IEEE CVPR中ASD (Active Speaker Detection) 任务第二名(2019)；带队研发的唇语识别系统获评中国人工智能多媒体信息识别技术竞赛“创新之星”(2019)、CCTV《机智过人》节目专题报道(2018)。

2020年9月 — 至今：中科院计算所，副研究员

2016年7月 — 2020年9月：中科院计算所，助理研究员

2011年9月 — 2016年7月：中科院自动化所，博士

[1] Mingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen, Synchronous Bidirectional Learning for Multilingual Lip Reading, British Machine Vision Conference, 2020

[2] Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen, Deformation Flow Based Two-Stream Network for Lip Reading, IEEE International Conference on Automatic Face and Gesture Recognition, 2020.

[3] Mingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen, Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading, IEEE International Conference on Automatic Face and Gesture Recognition ,2020.

[4] Xing Zhao, Shuang Yang, Shiguang Shan, Xilin Chen, Mutual Information Maximization for Effective Lip Reading, IEEE International Conference on Automatic Face and Gesture Recognition, 2020

[5] Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen, Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition, IEEE International Conference on Automatic Face and Gesture Recognition, 2020.

[6] Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin Chen, LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild, IEEE International Conference on Automatic Face and Gesture Recognition, 2019.

[7] Yuanhang Zhang, Shuang Yang, Shiguang Shan, Multi-Task Learning for Audio-Visual Active Speaker Detection, The ActivityNet Large-Scale Activity Recognition Challenge, 2019.

[8] Shanru Li, Liping Wang, Shuang Yang, Yuanquan Wang, Chongwen Wang: TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation. International Conference on Neural Information Processing, 2017.

[9] Wen Sun, Chunfeng Yuan, Pei Wang, Shuang Yang, Weiming Hu, Zhaoquan Cai, Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition, IEEE International Conference on Image Processing, 2016.

[10] Shuang Yang,Chunfeng Yuan, Baoxin Wu, Weiming Hu, Fangshi Wang. Multi-feature max-margin hierarchical Bayesian model for action recognition,IEEE Conference on Computer Vision and Pattern Recognition, 2015

[11] Guan Luo, Shuang Yang, Guodong Tian, Chunfeng Yuan, Weiming Hu*, Stephen J. Maybank, Learning human actions by combining global dynamics and local appearance, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014

[12] Shuang Yang, Chunfeng Yuan, Weiming Hu, Xinmiao Ding, A hierarchical model based on latent dirichlet allocation for action recognition, IEEE International Conference on Pattern Recognition, 2014

[13] Baoxin Wu, Shuang Yang, Chunfeng Yuan, Weiming Hu, Fangshi Wang, Human Action Recognition Based on Oriented Motion Salient Regions, Asian Conference on Computer Vision, 2014

[14] Shuang Yang, Chunfeng Yuan, Haoran Wang, Weiming Hu, Combining sparse appearance features and dense motion features via random forest for action detection, IEEE International Conference on Acoustics, Speech and Signal Processing, 2013

[15] Chunfeng Yuan, Weiming Hu, Guodong Tian, Shuang Yang, Haoran Wang, Multi-task sparse learning with beta process prior for action recognition, IEEE Conference on Computer Vision and Pattern Recognition, 2013