Timothée Cour PhD student Depar

Timothée Cour

Postdoc researcher, Willow program,
ENS / INRIA, Paris

timothee dot cour at gmail dot com

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I'm currently a postdoc at the Ecole Normale Superieure, Paris (Willow program, jointly with INRIA), working with Jean Ponce and Francis Bach in Computer Vision and Machine Learning. I obtained my PhD in Computer Science under the supervision of Ben Taskar at the University of Pennsylvania, Philadelphia. Before that I was a student at the Ecole Polytechnique, France, in applied mathematics. Recent projects include: Learning with weak supervision,Video understanding from images and text, image segmentation and recognition, approximate inference for Graph Matching and MRFs. Find out more in my research page or resume.

Toolboxes
Graph matching toolbox
Multiscale NCut Image segmentation Toolbox
Normalized Cuts Segmentation Code

Publications

Thesis: Weakly Supervised Learning from Multiple Modalities: Exploiting Video, Audio and Text for Video Understanding. University of Pennsylvania, PA, May 2009
[pdf][abstract][bib] new

Learning from Ambiguously Labeled Images. Timothee Cour, Ben Sapp, Chris Jordan, Ben Taskar. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
[pdf][abstract][bib] [tech report] new

Movie/Script: Alignment and Parsing of Video and Text Transcription. Timothee Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar. Proceedings of the European Conference on Computer Vision (ECCV), 2008.
[pdf][abstract][bib][videos: retrieval of actions and character naming]

Video Deconstruction: Revealing narrative structure through image and text alignment. Timothee Cour, Ben Taskar. NIPS 2007 Workshop on the Grammar of Vision: Probabilistic Grammar-Based Models for Visual Scene Understanding and Object Categorization.

Recognizing objects by piecing together the Segmentation Puzzle. Timothee Cour, Jianbo Shi. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
[pdf][abstract][bib][poster] [supplement: results on entire horse dataset (328 images)]

Solving Markov Random Fields with Spectral Relaxation. Timothee Cour, Jianbo Shi. Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS), 2007.

[pdf][abstract][bib]

Balanced Graph Matching. Timothee Cour, Praveen Srinivasan, Jianbo Shi. Advances in Neural Information Processing Systems (NIPS), 2006
[pdf][abstract][bib] [supplement: Affinely Constrained Rayleigh Quotients] [code]

Spectral Segmentation with Multiscale Graph Decomposition. Timothee Cour, Florence Benezit, Jianbo Shi. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
[pdf][abstract][bib][code]

Learning spectral graph segmentation. Timothee Cour, Nicolas Gogin, Jianbo Shi. Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS), 2005.
[pdf][abstract][bib][Slides]

Technical reports

Learning from Ambiguously Labeled Images. Timothee Cour, Ben Sapp, Chris Jordan, Ben Taskar. Technical Report MS-CIS-09-07, University of Pennsylvania, Philadelphia, May 2009.
[pdf][abstract]

A learnable spectral memory graph for recognition and segmentation. Timothee Cour, Jianbo Shi. Technical Report MS-CIS-04-12, University of Pennsylvania CIS Technical Reports, Philadelphia, PA, June 2004.
[pdf][abstract][bib]

Teaching

Fall 2006, Teaching Assistant: Automata, Computability, and Complexity, CSE 262 (w. Sudipto Guha)
Spring 2005, Teaching Assistant: Computer Vision, CSE 399 (w. Kostas Daniilidis)
Fall 2004, Teaching Assistant: Mathematical Foundations of Computer Science, CSE 260 (w. Sampath Kannan)

Last updated on May 2009