Downtown New Orleans, Louisiana and the Missisippi River
CVPR 2022
June 19 - 23, 2022
New Orleans, Louisiana

Overview

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event, comprising the main conference and several co-located workshops and short courses. It will be a hybrid conference, with both in-person and virtual attendance options. Conference content hosted on the virtual platform will be available exclusively to CVPR registered attendees. The conference proceedings will be publicly available via the CVF website, with the final version posted to IEEE Xplore after the conference.

Sponsorship Details

Amazon organizing committee members

  • Website chair
  • Rajeev Ranjan
    Rajeev Ranjan
    Area chair
  • jingjing zheng
    Jingjing Zheng
    Area chair

Accepted publications

Workshops

CVPR 2022 Workshop on New Trends in Image Restoration and Enhancement and Challenges
June 19
CVPR 2022 Workshop on Image Matching: Local Features & Beyond
June 20
CVPR 2022 Workshop on Learning with Limited Labelled Data for Image and Video Understanding
June 20
CVPR 2022 Workshop on Gaze Estimation and Prediction in the Wild
June 20
CVPR 2022 Workshop on Transformers for Vision
June 19
CVPR 2022 Workshop on Fine-Grained Visual Categorization
June 19
workshop
CVPR 2022 Workshop on Perception Beyond the Visible Spectrum
June 19
Since its inception in 2004, the Perception Beyond the Visible Spectrum workshop series (IEEE PBVS) has been one of the key events in the computer vision and pattern recognition (CVPR) community featuring imaging, sensing and exploitation algorithms in the non-visible spectrum (infrared, thermal, radar, etc.). It is a leading meeting for scientists, researchers, students and engineers from academia, industry, and government agencies throughout the world.

Amazon program co-chair: Erhan Gundogdu

Website: https://pbvs-workshop.github.io/index.html
CVPR 2022 Workshop on LatinX in CV Research
June 19 - May 24
This is an official workshop of the LatinX in AI (LXAI) organization, known as LatinX in Computer Vision (LXCV) at CVPR, which will be hosted on Mon, Jun 19, 2022 – Thu, Jun 24, 2022 in New Orleans, Louisiana USA

Amazon keynote speaker: Vicente Ordóñez-Román

Website: https://www.latinxinai.org/cvpr-2022-about
CVPR 2022 Workshop on Federated Learning for Computer Vision
June 19
This workshop aims at bringing together researchers and practitioners with common interests in FL for computer vision and studying the different synergistic relations in this interdisciplinary area. The day-long event will facilitate interaction among students, scholars, and industry professionals from around the world to discuss future research challenges and opportunities.

Amazon keynote speaker: Salman Avestimehr

Website: https://sites.google.com/view/fedvision
CVPR 2022 Workshop on Computer Vision for Fashion, Art, and Design
June 19
For four years in a row, CVFAD workshop series have been capturing important trends and new ideas in this area. At CVPR 2022, CVFAD will continue to bring together artists, designers, and computer vision researchers and engineers. We will keep growing the workshop itself to be a space for conversations and idea exchanges at the intersection of computer vision and creative applications.

Amazon organizers: Loris Bazzani, Mariya Vasileva

Website: https://sites.google.com/view/cvfad2022/home
CVPR 2022 Workshop on Autonomous Driving
June 20
he CVPR 2022 Workshop on Autonomous Driving (WAD) aims to gather researchers and engineers from academia and industry to discuss the latest advances in perception for autonomous driving. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in autonomous driving, arguably the most promising application of computer vision and AI in general.

Amazon chair: Li Erran Li

Website: https://cvpr2022.wad.vision
CVPR 2022 Workshop on Continual Learning in Computer Vision
June 20

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