Shiguang Shan received M.S. degree in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, and Ph.D. degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2004. He joined ICT, CAS in 2002 and became a full Professor in 2010. He is now the director of the Key Lab of Intelligent Information Processing of CAS.
His research interests cover computer vision, pattern recognition, and machine learning. He especially focuses on computational face perception related research topics, and machine learning with data of limited supervision. He has published more than 300 papers in refereed journals and proceedings. He has served as Area Chair (or Senior PC) for many international conferences including CVPR19/20/21/22, AAAI20/21/22, IJCAI21, ICPR12/14/20, ACCV12/16/18, FG13/18/20, BTAS18, ICASSP14, and ICCV11. He is(/was) Associate Editors of several international journals including IEEE Trans. on Image Processing, Computer Vision and Image Understanding, Neurocomputing, and Pattern Recognition Letters. He is a recipient of the China’s State Natural Science Award in 2015, and the China’s State S&T Progress Award in 2005 for his research work.
He is also the co-founder and rotating Chairman of Steering Committee of VALSE (Vision And Learning SEminar), a China-based non-official scholarly community. VALSE holds annual conference every year since 2011, and has held more than 220 times of Webinar (online seminar) since 2014. Numerous Chinese researchers and students have benefitted from these VALSE events. Taking VALSE Annual Conference 2019 as an example, more than 5,000 audiences attended this event held in Hefei China.
He is also personally interested in brain science, cognitive neuroscience, as well as their interdisciplinary researche topics with AI.
Journal services
[1] Associate Editor of Frontier of Computer Science (2018-)
[2] Associate Editor of IEEE Trans. on Image Processing (2015-2018)
[3] Associate Editor of Journal of Computer Vision and Image Understanding (2017-)
[4] Associate Editor of Pattern Recognition Letters (2017-)
[5] Associate Editor of Neurocomputing (2012-2016)
[6] Editor Board member of EURASIP Journal of Image and Video Processing
[7] Associate Editor of IPSJ Transactions on Computer Vision and Applications (CVA)
[8] Associate Editor of IET Computer Vision (2020-)
Conference services
[1] General Co-chair of IEEE Conference on Face and Gesture Recognition 2023 (FG2023)
[2] General Co-chair of Asian Conference on Computer Vision (ACCV) 2022
[3] Area Chair of the 36th AAAI Conference on Artificial Intelligence (AAAI2022)
[4] Area Chair of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)
[5] Area Chair of the 35th AAAI Conference on Artificial Intelligence (AAAI2021)
[6] Area Chair of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021
[7] Area Chair of IEEE Conference on Face and Gesture Recognition 2020 (FG2020)
[8] Senior PC of the 34th AAAI Conference on Artificial Intelligence (AAAI-20)
[9] Area Chair of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020
[10] Area Chair of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019
[11] Area Chair of IEEE International Conference on Biometrics: Theory, Application AND Systems (BTAS 2018)
[12] Area Chair of IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018)
[13] Area Chair of Asian Conference on Computer Vision (ACCV) 2018
[14] Area Chair of International Conference on Computer Vision (ICCV) 2011
[15] Program Chair of Chinese Conference on Biometric Recognition 2014, 2015, 2016
[16] Area Chair of International Conference on Pattern Recognition (ICPR) 2012
[17] Area Chair of Asian Conference on Computer Vision (ACCV) 2012
[18] Area Chair of International Conference on Face and Gesture Recognition (FG2013)
[19] Workshop Chair of Asian Conference on Computer Vision (ACCV) 2014
[20] Area Chair of Asian Conference on Computer Vision (ACCV) 2016
[21] Area Chair of International Conference on Pattern Recognition (ICPR) 2014
1. Machine learning: deep learning and beyond
My team focuses on new machine learning methods for scenarios with complex data conditions, especially little data, wealy-labeled data, semi-supervised data, incomplete data, where new models and new optimizing methodsareneeded to design. In terms of methodology, we are interested in transfer learning, meta-learning, and knowledge-guided learning.
2. Face recognition: methods, technologies, and applications
My team is interested in everything on face perception, including (but not limited to) face detection and tracking, facial landmark locating, face alignment, face identification, face verification, face retrieval, expression recognition, facial attribute estimation, 3D face reconstruction, face parsing, etc. We have broad cooperation with industrial parters, including Huawei, Ping'an, Qualcomm, China Mobile, Baidu, Isvision, Samsung, Omron, Panasonic, etc. Especially, our face recognition technology has been used on Huawei smart phone and Huawei Cloud album.
3. Generic object detection, segmentation, and recognition
My team is also interested in generic object detection, segmentation, and recognition, especially pedestrian detection and tracking, human pose estimation and body segmentation, vehicle detection and tracking, human and vehicle re-identification etc. These technologies are applied to video surveillance.
Book
1. Please kindly refer to my Google scholar homepage： https://scholar.google.com/citations?user=Vkzd7MIAAAAJ&hl=zh-CN or possibly here: https://xue.glgoo.com/citations?user=Vkzd7MIAAAAJ&hl=zh-CN&oi=ao or here.