Takeo Kanade

Affiliations: 
Robotics Institute Carnegie Mellon University, Pittsburgh, PA 
Area:
computer vision
Website:
http://www.ri.cmu.edu/person.html?person_id=136
Google:
"Takeo Kanade"
Mean distance: 25.58 (cluster 15)
 
Cross-listing: MathTree

Parents

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Makoto Nagao grad student 1974 Kyoto University
Toshiyuki Sakai grad student 1974 Kyoto University (Physics Tree)

Children

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Thomas J. Palmeri research assistant 1985-1987 Vanderbilt
Shree K. Nayar grad student CMU (Computer Science Tree)
Pradeep K. Khosla grad student 1986 Carnegie Mellon (Physics Tree)
Richard Szeliski grad student 1988 Carnegie Mellon (Computer Science Tree)
Carlo Tomasi grad student 1991 Carnegie Mellon (Computer Science Tree)
Henry W. Schneiderman grad student 2000 Carnegie Mellon
Devin V. Amin grad student 2001 Carnegie Mellon
Mei Han grad student 2001 Carnegie Mellon
David A. LaRose grad student 2001 Carnegie Mellon
Bernard F. Mettler grad student 2001 Carnegie Mellon
Andrew B. Mor grad student 2001 Carnegie Mellon
Daniel D. Morris grad student 2001 Carnegie Mellon
Sundar Vedula grad student 2001 Carnegie Mellon
Terence M. Sim grad student 2002 Carnegie Mellon
Kong M. Cheung grad student 2003 Carnegie Mellon
Qifa Ke grad student 2003 Carnegie Mellon
Marco La Civita grad student 2003 Carnegie Mellon
Yanghai Tsin grad student 2003 Carnegie Mellon
Charles L. Zitnick grad student 2003 Carnegie Mellon
Pragyana K. Mishra grad student 2005 Carnegie Mellon
Jing Xiao grad student 2005 Carnegie Mellon
Goksel Dedeoglu grad student 2007 Carnegie Mellon
Philipp Michel grad student 2008 Carnegie Mellon
Lie (Leon) Gu grad student 2009 Carnegie Mellon
Kang Li grad student 2009 Carnegie Mellon
Ankur Datta grad student 2010 Carnegie Mellon
Peter Barnum grad student 2011 Carnegie Mellon
Myung Hwangbo grad student 2012 Carnegie Mellon
Ki H. Kwak grad student 2012 Carnegie Mellon
Portia E. Taylor grad student 2012 Carnegie Mellon
Seungil Huh grad student 2013 Carnegie Mellon
BETA: Related publications

Publications

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Ker DFE, Eom S, Sanami S, et al. (2018) Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations. Scientific Data. 5: 180237
Joo H, Simon T, Li X, et al. (2017) Panoptic Studio: A Massively Multiview System for Social Interaction Capture. Ieee Transactions On Pattern Analysis and Machine Intelligence
Jeni LA, Cohn JF, Kanade T. (2017) Dense 3D Face Alignment from 2D Video for Real-Time Use. Image and Vision Computing. 58: 13-24
Jeni LA, Cohn JF, Kanade T. (2015) Dense 3D Face Alignment from 2D Videos in Real-Time. Proceedings of the ... International Conference On Automatic Face and Gesture Recognition. International Conference On Automatic Face and Gesture Recognition. 1
Su H, Yin Z, Huh S, et al. (2015) Interactive Cell Segmentation based on Active and Semi-supervised Learning. Ieee Transactions On Medical Imaging
Jeni LA, Lőrincz A, Szabó Z, et al. (2014) Spatio-temporal Event Classification using Time-series Kernel based Structured Sparsity. Computer Vision - Eccv ... : ... European Conference On Computer Vision : Proceedings. European Conference On Computer Vision. 2014: 135-140
Song Y, Cai W, Huh S, et al. (2013) Discriminative data transform for image feature extraction and classification. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 452-9
Huh S, Kanade T. (2013) Apoptosis detection for non-adherent cells in time-lapse phase contrast microscopy. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 59-66
Huh S, Su H, Chen M, et al. (2013) Efficient phase contrast microscopy restoration applied for muscle myotube detection. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 420-7
Su H, Yin Z, Huh S, et al. (2013) Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features. Medical Image Analysis. 17: 746-65
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