Serge Belongie received a B.S. (with honor) in EE from Caltech in 1995 and a Ph.D. in EECS from Berkeley in 2000. While at Berkeley, his research was supported by an NSF Graduate Research Fellowship. From 2001-2013 he was a professor in the Department of Computer Science and Engineering at University of California, San Diego.
He is currently a professor at Cornell Tech and the Department of Computer Science at Cornell University. His research interests include Computer Vision, Machine Learning, Crowdsourcing and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona, Anchovi Labs and Orpix. He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship and the MIT Technology Review "Innovators Under 35" Award.
- 2017."Collaborative Metric Learning."Paper presented at International Conference on World Wide Web (WWW), Perth, 2017 .
- 2017."Context Matters: Refining Object Detection in Video with Recurrent Neural Networks."Paper presented at British Machine Vision Conference (BMVC) .
- 2016."Residual Networks Behave Like Ensembles of Relatively Shallow Networks."Paper presented at Neural Information Processing Systems (NIPS), Barcelona .
- 2016."Boosted Convolutional Neural Networks."Paper presented at British Machine Vision Conference (BMVC), York, UK .
- 2016."Learning to Detect and Match Keypoints with Deep Architectures."Paper presented at British Machine Vision Conference (BMVC), York, UK .
Selected Awards and Honors
- Cornell Tech Professor of the Year2016
- Best Paper Award in session "Vision and Learning," (WACV)2015
- Helmholtz Prize(ICCV)2015
- Best Paper Award Runner Up(HCOMP)2015
- Honorable Mention, Assistive Reproductive Technology video "3D Sperm Surface Reconstruction," (ASRM)2014
- BS(Electrical Engineering with Honor),California Institute of Technology,1995
- MS(Electrical Engineering and Computer Sciences),University of California, Berkeley,1997
- Ph D(Electrical Engineering and Computer Sciences),University of California, Berkeley,2000