About Me ...
I am a 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).
- We have one paper accepted to CVPR 2013: Poselet Key-framing: A Model for Human Activity Recognition, M. Raptis, L. Sigal.
- Our ACM SIGGRAPH paper was featured in a press article.
- Our paper won a best paper award at AMDO 2012. Congratulation Mykhaylo Andriluka!
- Our last years ACM SIGGRAPH paper has been featured by Inside Science Television.
- Co-edited book Visual Analysis of Humans: Looking at People (T. Moeslund, A. Hilton, V. Krüger, L. Sigal, Eds.), ISBN 978-0-85729-996-3, Springer, 2011.
Poselet Key-framing: A Model for Human Activity Recognition,
M. Raptis, L. Sigal,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
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.
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.
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.
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.
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.
- Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines, M. Zeiler, G. Taylor, L. Sigal, I. Matthews and R. Fergus. NIPS, 2011.
- Motion Capture from Body-Mounted Cameras, T. Shiratori, H. S. Park, L. Sigal, Y. Sheikh and J. K. Hodgins. ACM SIGGRAPH, 2011.
- Human Attributes from 3D Pose Tracking, L. Sigal, D. Fleet, N. Troje, M. Livne. ECCV, 2010.
- Stable Spaces for Real-time Clothing, E. de Aguiar, L. Sigal, A. Treuille and J. K. Hodgins. ACM SIGGRAPH, 2010.
- Dynamical Binary Latent Variable Models for 3D Human Pose Tracking, G. Taylor, L. Sigal, D. Fleet and G. Hinton. CVPR, 2010.
- Estimating Contact Dynamics, M. Brubaker, L. Sigal and D. Fleet. ICCV, 2009.
- Shared Kernel Information Embedding for Discriminative Inference, L. Sigal, R. Memisevic, D. Fleet. CVPR, 2009.
- Physical Simulation for Probabilistic Motion Tracking, M. Vondrak, L. Sigal and O. C. Jenkins. CVPR, 2008.
- 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.