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Martial Hebert

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Artificial Intelligence, Robotics Engineering
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"Martial Hebert"
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Parents

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Olivier Faugeras grad student 1983 University of Paris-Sud (Neurotree)

Children

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Abhinav Shrivastava research assistant (Computer Science Tree)
Kris M. Kitani grad student (Neurotree)
Dongmei Zhang grad student 2000 Carnegie Mellon
Liam Pedersen grad student 2001 Carnegie Mellon
Peng Chang grad student 2002 Carnegie Mellon
Shyjan Mahamud grad student 2002 Carnegie Mellon
Owen Carmichael grad student 2003 Carnegie Mellon
Charles J. Rosenberg grad student 2004 Carnegie Mellon
Matthew C. Deans grad student 2005 Carnegie Mellon
Sanjiv Kumar grad student 2005 Carnegie Mellon
Bart Nabbe grad student 2005 Carnegie Mellon
Derek Hoiem grad student 2007 Carnegie Mellon
Yan Ke grad student 2008 Carnegie Mellon
Caroline R. Pantofaru grad student 2008 Carnegie Mellon
Ranjith Unnikrishnan grad student 2008 Carnegie Mellon
Marius D. Leordeanu grad student 2010 Carnegie Mellon
Alvaro Collet Romea grad student 2012 Carnegie Mellon
Pyry Matikainen grad student 2012 Carnegie Mellon
Hongwen Henry Kang grad student 2006-2012 Carnegie Mellon
Edward Hsiao grad student 2013 Carnegie Mellon
Daniel Munoz grad student 2013 Carnegie Mellon
Scott Satkin grad student 2013 Carnegie Mellon
Abhinav Gupta post-doc Carnegie Mellon (Computer Science Tree)

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Publications

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Suppé AJ, Hebert M. (2017) Using deep learning to bridge the gap between perception and intelligence Proceedings of Spie. 10195: 1019503
Muelling K, Venkatraman A, Valois J, et al. (2017) Autonomy infused teleoperation with application to brain computer interface controlled manipulation Autonomous Robots. 41: 1401-1422
Downey JE, Weiss JM, Muelling K, et al. (2016) Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping. Journal of Neuroengineering and Rehabilitation. 13: 28
Laddha A, Hebert M. (2016) Improving semantic scene understanding using prior information Proceedings of Spie - the International Society For Optical Engineering. 9837
Misra I, Wang Y, Hebert M. (2016) Learning object models from few examples Proceedings of Spie - the International Society For Optical Engineering. 9837
Girdhar R, Fouhey DF, Kitani KM, et al. (2016) Cutting through the clutter: Task-relevant features for image matching 2016 Ieee Winter Conference On Applications of Computer Vision, Wacv 2016
Walker J, Gupta A, Hebert M. (2016) Dense optical flow prediction from a static image Proceedings of the Ieee International Conference On Computer Vision. 11: 2443-2451
Fouhey DF, Hussain W, Gupta A, et al. (2016) Single image 3D without a single 3D image Proceedings of the Ieee International Conference On Computer Vision. 11: 1053-1061
Trager M, Ponce J, Hebert M. (2016) Trinocular Geometry Revisited International Journal of Computer Vision. 1-19
Walker J, Doersch C, Gupta A, et al. (2016) An uncertain future: Forecasting from static images using variational autoencoders Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9911: 835-851
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