I am an Associate Research Scientist at Disney Research Pittsburgh. My research focuses on recognition (person re-identification), visual tracking, Riemannian manifolds and metric learning. Before joining Disney Research, I spent several years as a Postdoctoral Fellow and PhD student at INRIA Sophia Antipolis.

One-Shot Metric Learning for Person Re-identification
S. Bak, P. Carr
Computer Vision and Pattern Recognition (CVPR), 2017

Person Re-identification using Deformable Patch Metric Learning
S. Bak, P. Carr
Winter Conference on Applications of Computer Vision (WACV), 2016

Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition
S. Bak, M.S. Biagio, R. Kumar, V. Murino, F. Bremond
Transaction on Systems, Man, and Cybernetics: Systems (SMC), 2016

Learning to Match Appearances by Correlations in a Covariance Metric Space
S. Bak, G. Charpiat, E. Corvee, F. Bremond, and M. Thonnat
European Conference on Computer Vision (ECCV), 2012

Boosted human re-identification using Riemannian manifolds
S. Bak, E. Corvee, F. Bremond, and M. Thonnat
Image and Vision Computing (IMAVIS), 2012