About Me ...
I am currently a postdoctoral fellow at Department of Computer Science of University of Toronto. There I am mostly working with Prof. David Fleet. Before coming to University of Toronto, I conducted my doctorate studies at Computer Science Department of Brown University in Providence, RI. My doctorate decertation, "Continuous-state Graphical Models for Object Localization, Pose Estimation and Tracking", was written under supervision of my advisor Prof. Michael J. Black. I recived my Master's Degree in Computer Science and dual undergraduate degrees in Computer Science and Applied Mathematics from Boston University, where I worked with Prof. Stan Sclaroff. My full bio and CV can be found here.
My research intrests mainly lie in the areas of computer vision and machine learning. I am particularly interested in statistical models for problems of visual inference. I am probably most known for my work on articulated pose estimation and tracking. More recently I have also done some work on the articulated shape estimation. My currently research at University of Toronto focuses on physics-based prior models for articulated human motion.
Call for papers
IJCV Special Issue on Evaluation of Articulated Human Motion and Pose Estimation
Recently accepted papers
Physical Simulation for Probabilistic Motion Tracking. M. Vondrak, L. Sigal and O. C. Jenkins. CVPR, 2008. (to appear)
Selected publications
Combined discriminative and generative articulated pose and non-rigid shape estimation. L. Sigal, A. Balan and M.J. Black. NIPS, 2007.
Predicting 3D People from 2D Pictures. L. Sigal and M. J. Black. AMDO, 2006. (best paper award)
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation. L. Sigal and M. J. Black. CVPR, 2006.
Tracking Loose-limbed People. L. Sigal, S. Bhatia, S. Roth, M. J. Black and M. Isard. CVPR, 2004.
Organized workshops
EHuM2: 2nd Workshop on Evaluation of Articulated Human Motion and Pose Estimation (held in conjunction with CVPR 2007)
EHuM: Workshop on Evaluation of Articulated Human Motion and Pose Estimation (held in conjunction with NIPS 2006)