Leonid Sigal

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

 
 
 

Menu

Home | About | Biography | CV Students and Collaborators | Research | Teaching | Publications | Talks | Code and Data |

Contact

Disney Research Pittsburgh
4615 Forbes Ave
Pittsburgh, PA 15213

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

Upcoming Conference Deadlines

Links

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 recognition, scene understanding, 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

Press coverage

Our work on semantic video event representation in CVPR 2016.

Our work on modeling action progression using LSTMs in CVPR 2016.

Our work on zero-shot pose estimation in AAAI 2016.

Our work on graph-based activity recognition in CVPR 2015.

Our work on story-driven photo album curation in WACV 2015.

Our work on body mounted camera motion capture in ACM SIGGRAPH 2011.

Recently accepted papers

Real-time Physics-based Motion Capture with Sparse Sensors, S. Andrews, I. Huerta, T. Komura, L. Sigal and K. Mitchell, European Conference on Visual Media Production (CVMP), 2016.
Paper: [pdf]
Video: [mp4]

Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization, B. Xu, Y. Fu, Y.-G. Jiang, B. Li and L. Sigal, IEEE Transactions on Affective Computing (TAC), 2016.
Paper: [pdf]

Semi-supervised Vocabulary-informed Learning, Y. Fu and L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Paper: [pdf]

Learning Activity Progression in LSTMs for Activity Detection and Early Detection, S. Ma, L. Sigal and S. Sclaroff, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Paper: [pdf]

Harnessing Object and Scene Semantics for Large-Scale Video Understanding, Z. Wu, Y. Fu, Y.-G. Jiang and L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Paper: [pdf]

Knowledge Transfer with Interactive Learning of Semantics Relationships, J. Choi, S. Hwang, L. Sigal and L. Davis, AAAI Conference on Artificial Intelligence (AAAI), 2016.
Paper: [pdf]

Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach, A. Kuznetsova, S. Hwang, B. Rosenhahn and L. Sigal, AAAI Conference on Artificial Intelligence (AAAI), 2016.
Paper: [pdf]

Learning to Generate Posters of Scientific Papers, Y. Qiang, Y. Fu, Y. Guo, Z.-H. Zhou and L. Sigal, AAAI Conference on Artificial Intelligence (AAAI), 2016.
Paper: [pdf]

Joint Photo Stream and Blog Post Summarization and Exploration, G. Kim, S. Moon, L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Extended abstract: [pdf]
Paper: [pdf]

Ranking and Retrival of Image Sequences from Multiple Paragraph Queries, G. Kim, S. Moon, L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Extended abstract: [pdf]
Paper: [pdf]

Space-Time Tree Ensemble for Action Recognition S. Ma, L. Sigal, S. Sclaroff, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Paper: [pdf]

Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Vidoe A. Kuznetsova, S.-J. Hwang, B. Rosenhahn, L. Sigal, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Extended abstract: [pdf]
Paper: [pdf]
Supplemental: [pdf]
Video: [pdf]

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]

Selected publications

Organized tutorials

Organized workshops