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楊雙，博士，中科院計算所副研究員，碩士生導(dǎo)師。研究領(lǐng)域為計算機(jī)視覺、模式識別、機(jī)器學(xué)習(xí)，目前主要以視頻中運(yùn)動模式的挖掘與學(xué)習(xí)為具體研究對象進(jìn)行基礎(chǔ)研究與應(yīng)用性研究工作。目前累計發(fā)表學(xué)術(shù)論文18篇，獲授權(quán)發(fā)明專利7項，軟著1項，合編著作1部。獲中科院計算所“學(xué)術(shù)百星”(2017)；所指導(dǎo)的研究生獲VIPL最佳新人獎(2018)、所指導(dǎo)的本科生獲中國科學(xué)院大學(xué)優(yōu)秀本科畢業(yè)論文(2019)；獲ActivityNet Challenge@IEEE CVPR中ASD (Active Speaker Detection) 任務(wù)第二名(2019)；帶隊研發(fā)的唇語識別系統(tǒng)獲評中國人工智能多媒體信息識別技術(shù)競賽“創(chuàng)新之星”(2019)、CCTV《機(jī)智過人》節(jié)目專題報道(2018)。

2020年9月 — 至今：中科院計算所，副研究員

2016年7月 — 2020年9月：中科院計算所，助理研究員

2011年9月 — 2016年7月：中科院自動化所，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