Siwei Lyu is a tenured Associate Professor at the Department of Computer Science, the College of Engineering and Applied Sciences, the University at Albany, State University of New York. He is the Director of Computer Vision and Machine Learning Lab (CVML) at U. Albany.
Dr. Lyu received his Ph.D. degree in Computer Science from Dartmouth College in 2005, and his M.S. degree in Computer Science in 2000 and B.S. degree in Information Science in 1997, both from Peking University, China. Dr. Lyu was a tenure-track Assistant Professor from 2008-2014. During 2005-2008, he was a Post-Doctoral Research Associate at the Howard Hughes Medical Institute and the Center for Neural Science of New York University. He was an Assistant Researcher at Microsoft Research Asia (then Microsoft Research China) in 2001.
Dr. Lyus research interests include digital image forensics, computer vision, computational neuroscience and machine learning. Dr. Lyu has published over 90 refereed journal and conference papers. Dr. Lyus research projects are funded by NSF, DARPA, NIJ, UTRC, IBM and University at Albany, SUNY. He is the recipient of the IEEE Signal Processing SocietyBest Paper Awardin 2011, the National Science Foundation CAREER Award in 2010, SUNY Albanys Presidential Award for Excellence in Research and Creative Activities in 2017, and SUNY Chancellor's Award for Excellence in Research and Creative Activities in 2018 [link].
Dr. Lyu serves on the IEEE SPS Information Forensics and Security Technical Committee (2017-2019), and is on the Editorial Board of IEEE Transactions on Information Forensics and Security. Dr. Lyu is a senior member of International Society of Electric and Electronic Engineers (IEEE), and a member of Omicron Delta Kappa (OΔΚ).
- (06/30/2018) Our work on detecting DeepFake generated videos [ArXiv] are reported by several media
- Spectrum News "UAlbany researchers working to develop 'fake news' detector", TV interview [link]
- The Register "The eyes have it: 'DeepFakes' bogus AI-meddled videos outed by unblinking gaze", [link]
- Columnbia Journalism Review "The real horror is not knowing what to believe: Scenes from the Fake News Horror Show", [link]
- iNews "How to tell if youre watching a fake celebrity video
- (04/02/2018) Lipeng's pose estimation work is ranked #1 on the very challenging MPII benchmark.
A video demonstration of Lipeng's pose estimation results. Congratulations Lipeng!
- (02/18/2018) I was interviewed on Science Friday to talk about my work on media forensics [link].
- (09/06/2017) Paper on Average Top-K Learning is accepted by NIPS 2017.
- (07/29/2017) I co-organized and participated the IEEE/Nvidia AI City Challenge with the IEEE Smart City Conference 2017. and our team got honary mention.
- (07/19/2017) Ppaper on using RNN-Tree for Skeleton-based Action Recognition is accepted by ICCV 2017.
- (07/17/2017) I co-organized the 2017 AVSS Challenge on Advance Traffic Monitoring, and co-organize the International Workshop on Traffic and Street Surveillance and Safety (IWT4S), in conjunction with the 2017 IEEE Conference on Advances in Video and Signal-based Survillance (AVSS).
- (03/21/2017) I am awarded SUNY Albanys Presidential Award for Excellence in Research and Creative Activities.
- (02/01/2017) I will be serving as an Area Chair for IEEE International Conference for Image Processing (ICIP) 2017 in Beijing, China.