Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advancing the Frontiers of Computer Vision Research, Technologies, and Solutions
LOS ALAMITOS, Calif., July 1, 2022 /PRNewswire/ -- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the largest gathering of professionals from across the world and from every aspect of the computer vision, machine learning (ML), and artificial intelligence (AI) industries, successfully concluded this week, breaking records with over 10,250 conference registrants and 2000 technical papers presented.
Computer vision is a field of AI that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs — and take actions or make recommendations based on that information. CVPR 2022 convened the brightest minds in the field for a week-long program of papers, keynotes, workshops, tutorials, posters, virtual learning, and discussion, and showcased the advancement of computer vision on a global scale.
CVPR's annual conference covered an extensive range of computer vision, AI, and ML topics and applications; the top five research categories at CVPR 2022 ranked by the number of papers accepted this year are:
CVPR 2022 experienced a record number of paper submissions - 8,161 - of which only 2,064 were accepted at the conference.
CVPR annually recognizes such research through its best papers awards, and the event is internationally known for its prestigious awards program. From this year's 33 finalists selected from the 2,064 accepted papers, the Awards Committee presented the following awards:
Best Paper Award
Best Paper Honorable Mention
Best Student Paper Award
Best Student Paper Honorable Mention
The event's exhibit hall packed with 137 exhibitors provided an abundance of advancements to explore and included companies noted for their AI programs such as Apple, Meta, Microsoft, and TikTok, as well as autonomous driving companies like Argo AI, Tesla, cruise, and Zoox.
Exhibitor highlights include:
The CVPR 2022 keynote speaker lineup included the following high-profile industry leaders:
A panel session covering "Embodied Computer Vision," featured Martial Hebert, Carnegie Mellon University, as the moderator, with panelists that included Kristen Grauman, University of Texas, Austin, and Meta AI; Nicholas Roy, Zoox, and MIT; and Michael Ryoo, Stonybrook University and Google.
The 2023 CVPR event will take place in Vancouver, from June 17 to 23, 2023.
The Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision and pattern recognition conference. With first-in-class technical content, the main program, tutorials, workshops, a leading-edge expo, and attended by more than 7,500 people annually, CVPR creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation.
About the IEEE Computer Society
The IEEE Computer Society is the world's home for computer science, engineering, and technology. A global leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a comprehensive array of unmatched products, services, and opportunities for individuals at all stages of their professional careers. Known as the premier organization that empowers the people who drive technology, the IEEE Computer Society offers international conferences including CVPR, peer-reviewed publications, a unique digital library, and training programs.
About the Computer Vision Foundation
The Computer Vision Foundation is a non-profit organization whose purpose is to foster and support research on all aspects of computer vision. Together with the IEEE Computer Society, it co-sponsors the two largest computer vision conferences: CVPR and the International Conference on Computer Vision (ICCV).
View original content to download multimedia:https://www.prnewswire.com/news-releases/record-breaking-registrants-and-technical-papers-for-2022-ieeecvf-conference-on-computer-vision-and-pattern-recognition-cvpr-301579890.html
SOURCE IEEE Computer Society