CRV: Canadian Conference on Computer and Robot Vision

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2022 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
CRV 2021 18th Conference on Robots and Vision
May 26, 2021 - May 28, 2021 Virtual, Simon Fraser University Feb 11, 2021
CRV 2019 Computer and Robot Vision
May 28, 2019 - May 31, 2019 Kingston, ON Feb 11, 2019
CRV 2017 14th Conference on Computer and Robot Vision (CRV 2017)
May 16, 2017 - May 19, 2017 Edmonton, Canada Feb 3, 2017
CRV 2015 Computer and Robot Vision
Jun 3, 2015 - Jun 5, 2015 Halifax, Canada Mar 3, 2015
CRV 2014 Canadian Conference on Computer and Robot Vision
May 6, 2014 - May 9, 2014 Montréal, Quebec Jan 31, 2014
CRV 2013 Conference on Computer and Robot Vision
May 28, 2013 - May 31, 2013 Canada,Saskatchewan Feb 15, 2013
CRV 2012 9th Conference on Computer and Robot Vision
May 28, 2012 - May 30, 2012 Toronto Feb 12, 2012
CRV 2011 Canadian Conference on Computer and Robot Vision
May 25, 2011 - May 27, 2011 St Johns, Canada Jan 28, 2011
CRV 2009 Sixth Canadian Conference on Computer and Robot Vision
May 25, 2009 - May 27, 2009 Kelona, BC, Canada Jan 30, 2009
 
 

Present CFP : 2021

Virtually in Burnaby, British Columbia, Canada | May 26-28, 2021 | http://www.computerrobotvision.org/

New in 2021, the 18th Conference on Robots and Vision seeks high-quality paper submissions from all aspects of robotics and computer vision (detailed areas below).

Important Dates

Paper Submission Deadline: February 11, 2021

Decision Notifications: March 25, 2021

Camera-Ready Papers Deadline: April 15, 2021

Virtual Conference: May 26-28, 2021

Submission Guidelines

Submissions must be standalone papers, of 4-8 pages in length and in IEEE format. Papers must describe original research. Duplicate submissions to other conferences or workshops are strictly prohibited.

Confirmed Keynote Speakers:
Daniela Rus - MIT
Sergey Levine - UC Berkeley

Confirmed Symposia Speakers:
Ariel Anders - robust.ai
Angel Chang - Simon Fraser University
Ke Li - Simon Fraser University
Hsiu-Chin Lin - McGill University
Ashique Rupam Mahmood - U of Alberta / Amii
Adriana Romero Soriano - Facebook AI

Conference Proceedings:
Accepted papers will be published by IEEE publishing services and will appear on IEEEXplore.

CRV 2021 invites contributions in the following areas:
3-D Point Clouds, Depth Cameras, Early Vision, Multi-Robot Systems, 3-D Reconstruction, Environment Modeling, Object Recognition and Detection, Active Perception, Faces, Gestures, Body Poses, Perceptual Organization, Activity Recognition, Features: Detection, Description, Matching, Photogrammetry, Remote Sensing, Attention, Field Robotics, Real-Time Perception, Biologically-Motivated Perception, Grasping, Reinforcement Learning, Biometrics, Human-Robot Interaction, Representation Learning, Calibration, Image Retrieval, Robust/Adaptive Robotic Control, Camera Networks, Localization, Mapping, Odometry, SLAM, Segmentation, Classification, Machine Learning for Perception, Sensor Fusion, Computational Photography, Manipulation, Sensor-Based Navigation and Control, Convolutional Networks, Medical Imaging, Shape Representation, Deep Learning, Mosaicking, Software Tools for Vision & Robotics, Document Analysis, Motion and Tracking, Vision for Autonomous Vehicles, Domain Adaptation, Transfer Learning, Motion and Path Planning, Visual Servoing

For more information, contact the CRV 2021 program co-chairs:

Liam Paull, University of Montreal
Helge Rhodin, University of British Columbia
computerrobotvision2021@gmail.com

The Conference on Robots and Vision is sponsored by the Canadian Image Processing and Pattern Recognition Society (CIPPRS) and is jointly located with the Canadian Conference on AI
 

Related Resources

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JCRAI 2021-Ei Compendex & Scopus 2021   2021 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021)
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EI-ISoIRS 2021   2021 2nd International Symposium on Intelligent Robotics and Systems (ISoIRS 2021)
ICIAP 2021   ICIAP2021 -21th International Conference on Image Analysis and Processing
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