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
 
 
 

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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

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)]

No Bias Left Behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation, M. Yamada, L. Sigal, M. Raptis, European Conference on Computer Vision (ECCV), 2012.
Download: [pdf, supplimental]

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)]

Multi-linear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling, P. Guan, L. Sigal, V. Reznitskaya, J. K. Hodgins, ACM/Eurographics Symposium on Computer Animation (SCA), 2012.
Project: soon
Download: [pdf]
Videos: [Supplementary Video (QuickTime, 140mb)]

Human Context: Modeling human-human interactions for monocular 3D pose estimation, M. Andriluka and L. Sigal, VII Conference on Articulated Motion and Deformable Objects (AMDO), 2012.
Download: [pdf]

Social Roles in Hierarchical Models for Human Activity Recognition, T. Lan, L. Sigal and G. Mori, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Download: [pdf]

Selected publications

Organized tutorials

Organized workshops