Amazon is proud to be a Platinum sponsor of CVPR.
About CVPR: The Conference on Computer Vision and Pattern Recognition is the premier annual computer vision event comprising a main conference and several co-located workshops and short courses. This year’s event will be fully virtual.
Amazon program organizing committee
General ChairPhysical Stores Tech
Hamed PirsiavashArea Chair
Area ChairAWS AI - Computer Vision
Workshops and tutorials
7th Women in Computer Vision Workshop at CVPR 2020 | June 14th
A Comprehensive Tutorial on Video Modeling | June 14th
Workshop on Text and Documents in the Deep Learning Era| June 15th
Accepted Paper: READ: Recursive Autoencoders for Document Layout Generation
From HPO to NAS: Hands-on Tutorial on Automatic Deep Learning | June 15th
EPIC@CVPR2020: Egocentric Perception, Interaction and Computing Workshop | June 15th
Visual Learning with Limited Labels Workshop | June 19th
Accepted Paper: Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
Vision Meets Mapping 2 (VMM2): - Computer Vision for Location-based Reasoning and Mapping | June 19th
Connect with us at CVPR
Amazon scientists are looking forward to connecting with you during CVPR. If you would like to schedule a conversation with one of our scientists or recruiters, please contact CVPR2020@amazon.com.
Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.
June 18, 2020From counting fish to identifying touchdowns, AWS customers are utilizing computer vision and pattern recognition technologies to improve business processes and customer experiences.
June 18, 202020tree.ai is on a mission to help protect the Earth’s forests by providing data-driven and actionable planet intelligence.
June 18, 2020A new approach to determining the “channel configuration” of convolutional neural nets improves accuracy while maintaining runtime efficiency.
June 16, 2020Black, a distinguished Amazon scholar, has been awarded the Longuet-Higgins Prize. Award recognizes paper that has made a significant impact in computer vision research field.