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Conference on Computer and Robot Vision

Toronto, Ontario

May 9-11, 2018‍‍‍‍‍‍

CRV is an annual conference hosted in Canada, and co-located with Graphics Interface (GI) and Artificial Intelligence (AI).
A single registration covers attendance in all three conferences. Please see the AI/GI/CRV general conference website for more information.

The CRV proceedings are published through the Conference Publishing Services (CPS).  
Accepted papers will be submitted to Xplore. Xplore has published CRV accepted papers since 2004.

Please see our Call for Papers for more details.

Imp‍‍‍ortant Dates

Paper submission (extended)
J̶a̶n̶u̶a̶r̶y̶ ̶2̶‍̶‍̶‍̶8̶,̶ ̶2̶0̶1̶8̶,̶1̶1̶:̶5̶9̶ ̶P̶M̶ ̶P̶S̶T̶

February 9, 2018,11:59 PM PST

Acceptance/rejection notification
March 11, 2018

Revised camera-ready papers
April 1, 2018

Early registration (tentative)
April 8, 2018

May 9-11, 2018


August 25, 2017: Website updated for 2018 conference. Stay tuned for more details soon.

August 25, 2017: Duplicate submissions to CRV and any other conference or workshop is strictly prohibited.

October 5, 2017: Website went live. Click here to sign up for future CRV 2018 announcements!

December 5, 2017: paper submission site is open.

January 10, 2018: Please contact us to request a letter of invitation for CRV 2018.

January 21, 2018: The deadline for CRV 2018 has been extended to Friday February 9, 11:59 PST (final deadline).

Conference History

In 2004, the 17th Vision Interface conference was renamed the 1st Canadian Conference on Computer and Robot Vision. In 2011, the name was shortened to Conference on Computer and Robot Vision. CRV is sponsored by the Canadian Image Processing and Pattern Recognition Society (CIPPRS).










CIPPRS/Element AI 2017 Doctoral Dissertation Award:

Colin Brown, Simon Fraser University (SFU)

Modelling and Prediction of Neurodevelopment in Preterm Infants using Structural Connecto‍‍‍me Data

CIPPRS/Trans-Plan 2017 Doctoral Dissertation Award:

Jonathan Gammell, University of Toronto Institute for Aerospace Studies (UTIAS)

Informed Anytime Search of Continuous Planning Problems