Leonid Sigal

Disney Research Pittsburgh / Department of Computer Science, Carnegie Mellon University



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Disney Research Pittsburgh
4615 Forbes Ave
Pittsburgh, PA 15213

Phone: (412) 802-6154
Email: lsigal at disneyresearch.com

Upcoming Conference Deadlines


About Me ...

Leonid Sigal's Photo

I am a Senior Research Scientist at Disney Research Pittsburgh and an Adjunct Faculty member at Carnegie Mellon University. My research focuses on articulated motion capture, motion modeling, action recognition, motion perception, manifold learning, transfer learning, character and cloth animation and a number of other directions on the fringe of computer vision, machine learning, and computer graphics. Before coming to Disney Research and CMU, I spent 2 years working as a Postdoctoral Fellow in the Department of Computer Science at University of Toronto (UofT).

I also try to maintain an active professional service within the community. I have orginized a number of workshops and tutorials. My full bio and CV can be found here.

News and recent activity

Recently accepted papers

Learning to Select and Order Vacation Photographs, F. Sadeghi, J. R. Tena, A. Farhadi, L. Sigal, IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
Download: [pdf]

Family Member Identification from Photo Collections, Q. Dai, P. Carr, L. Sigal, D. Hoiem, IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
Download: [pdf]

A Unified Semantic Embedding: Relating Taxonomies and Attributes, S.-J. Hwang, L. Sigal, Neural Information Processing Systems (NIPS), 2014.
Download: [pdf]

Parameterizing Object Detectors in the Continuous Pose Space, K. He, L. Sigal, S. Sclaroff, European Conference on Computer Vision (ECCV), 2014.
Download: [pdf]

Nonparametric Clustering with Distance Dependent Hierarchies, S. Ghosh, M. Raptis, L. Sigal, E. Sudderth, Conference on Uncertainty in Artificial Intelligence (UAI), 2014.
Download: [pdf]
Supplemental: [pdf]
Spotlight: [pdf]

Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction, G. Kim, L. Sigal, E. P. Xing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
Download: [pdf]
Videos: [1 Minute Spotlight Video (QuickTime)]

Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization, N. Shapovalova, M. Raptis, L. Sigal, G. Mori, Neural Information Processing Systems (NIPS), 2013.
Download: [pdf]
Videos: [Supplementary Video [low res] (QuickTime, 3mb)]

From Subcategories to Visual Composites: A Multi-Level Framework for Object Detection, T. Lan, M. Raptis, L. Sigal, G. Mori, IEEE International Conference on Computer Vision (ICCV), 2013.
Download: [pdf]

Poselet Key-framing: A Model for Human Activity Recognition, M. Raptis, L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Download: [pdf]
Videos: [Supplementary Video (QuickTime, 30mb)]

Video-based 3D Motion Capture through Biped Control, M. Vondrak, L. Sigal, J. K. Hodgins and Odest Jenkins, ACM Transactions on Graphics (Proc. SIGGRAPH), 2012.
Project: web page
Download: [pdf]
Videos: [Supplementary Video (QuickTime, 81mb)]

Selected publications

Organized tutorials

Organized workshops