Conference Information
CVPR 2018 : IEEE Conference on Computer Vision and Pattern Recognition
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Salt Lake City, Utah, USA
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Conference Location
Call For Papers
CVPR is the premier annual computer vision event comprising the main 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.

CVPR 2018 Workshops Call for Proposals

Workshops Chairs: Srikumar Ramilingnan and Mathieu Salzmann
Proposal Deadline: October 20, 2017
Notification by: December 10, 2017

We are soliciting proposals for workshops to be held together with the 2018 Computer Vision and Pattern Recognition Conference (CVPR 2018). Workshops will take place on June 18, June 22 and June 23 at the same venue as the main conference. The purpose of workshops is to provide a comprehensive forum on topics that will not be fully explored during the main conference as well as to encourage in-depth discussion of technical and application issues. CVPR 2018 organizers will collect workshop registrations, provide facilities, and distribute electronic copies of the workshop proceedings. There will be competition for workshop space, time, and topic coverage. To enable the competitive selection process, proposals must be specific and detailed in justifying relevance and viability. More details for workshop proposal submissions will be available after CVPR 2017.

CVPR 2018 Tutorials Call for Proposals

Tutorial Chair: M. Pawan Kumar
Proposal Deadline: November 20, 2017
Notification by: December 10, 2017

We solicit proposals for short courses and tutorials to be held at the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Courses and tutorials will take place on June 18 and June 22, the days before and after the main conference.

A CVPR short course or tutorial should aim to give a comprehensive overview of a specific topic related to computer vision. A good tutorial should be educational rather than just a cursory survey of techniques. The topic should be of sufficient relevance and importance to attract significant interest from the CVPR community. Typical tutorial audiences consist of graduate students studying computer vision, but also include researchers and practitioners from both academia and industry. We invite proposals for both half-day and full-day courses, but anticipate that most courses will be half-day unless the topic is expected to attract widespread community attention or will require the additional time. More details for tutorial proposal submissions will be available after CVPR 2017.
Last updated by Xin Yao in 2017-08-15
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