CVPR 2013 - 2013 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
In 2013, it will take place at the Oregon Convention Center in Portland, Oregon.
Main Conference: June 25-27, 2013
Workshops/Short Courses: June 23-24, 28, 2013
Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition (applied to images and video) including, but not limited to, the following areas:
Sensors
Early and Biologically-inspired Vision
Color and Texture
Segmentation and Grouping
Computational Photography and Video
Motion and Tracking
Shape-from-X
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation and Matching
Object Detection, Recognition, and Categorization
Video Analysis and Event Recognition
Face and Gesture Analysis
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Vision for Graphics
Vision for Robotics
Vision for Internet
Applications of Computer Vision
We suggest that authors submitting to CVPR for the first time look at recent CVPR proceedings so as to judge the appropriateness of the subject matter of their submissions.

Area Chairs

• Sameer Agarwal, Google, USA


• Ronen Basri, Weizmann Institute of Science, Israel


• Alex Berg, Stony Brook Univ., USA


• Tamara Berg, Stony Brook Univ., USA


• Terry Boult, Colorado, USA


• Michael Brown, NUS, Singapore


• Jason Corso, SUNY at Buffalo, USA


• Daniel Cremers, TU Munich, Germany


• Irfan Essa, Georgia Tech, USA


• Rob Fergus, NYU, USA


• Cornelia Fermuller, Univ. Maryland, USA


• Vittorio Ferrari, ETH Zurich, Switzerland


• David Forsyth, UIUC, USA


• Leo Grady, HeartFlow, Inc., USA


• Kristen Grauman, UT Austin, USA


• James Hays, Brown, USA


• Derek Hoiem, UIUC, USA


• Katsushi Ikeuchi, Tokyo Univ., Japan


• Hiroshi Ishikawa, Waseda Univ., Japan


• Pushmeet Kohli, Microsoft Research, UK


• Vladimir Kolmogorov, IST, Austria


• Ivan Laptev, INRIA, France


• Svetlana Lazebnik, UIUC, USA


• Erik Learned-Miller, UMass Amherst, USA


• Kyoung Mu Lee, Seoul National Univ., Korea


• Vincent Lepetit, EPFL, Switzerland


• Fei-Fei Li, Stanford, USA


• Jitendra Malik, UC Berkeley, USA


• Aleix Martinez, Ohio State, USA


• Yasuyuki Matsushita, Microsoft Research, China


• Srinivasa Narasimhan, CMU, USA


• Pietro Perona, Caltech, USA


• Marc Pollefeys, ETH Zurich, Switzerland


• Jean Ponce, ENS, France


• Deva Ramanan, UC Irvine, USA


• Stefan Roth, TU Darmstadt, Germany


• Yoichi Sato, Univ. Tokyo, Japan


• Silvio Savarese, Univ. Michigan, USA


• Bernt Schiele, MPI, Germany


• Cordelia Schmid, INRIA, France


• Steve Seitz, Univ. Washington, USA


• Jamie Shotton, Microsoft Research, UK


• Josef Sivic, ENS, France


• Noah Snavely, Cornell, USA


• Erik Sudderth, Brown, USA


• Antonio Torralba, MIT, USA


• Tinne Tuytelaars, K.U. Leuven, Belgium


• Andrea Vedaldi, Oxford Univ., UK


• Rene Vidal, Johns Hopkins Univ., USA


• Lihi Zelnik-Manor, Technion, Israel


• Todd Zickler, Harvard Univ., USA


• Larry Zitnick, Microsoft Research, USA