CVPR 2023 Best Paper Award Winners Announced

Published 06/21/2023
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CVPR 2023 Best Paper AwardsVANCOUVER, 21 June 2023 – Today, the 2023 Computer Vision and Pattern Recognition (CVPR) Conference Awards Committee announced the winners of its prestigious Best Paper Awards, which annually recognize top research in computer vision, artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), deep learning, and much more.

This year, from more than 9,000 paper submissions, the CVPR 2023 Awards Committee selected 12 candidates for the honor of Best Paper, and named the following as this year’s winners:

“To realize that these recipients were selected from more than 9,000 potential candidates makes them all the more impactful,” said IEEE Computer Society (CS) President Nita Patel, co-sponsor of CVPR 2023. “Clearly, these awards recognize and honor the groundbreaking work being done in the field of computer vision and pattern recognition, and it’s the developments showcased in research like this that will continue to advance and transform our industry.”

“We congratulate the 2023 award winners as well as everyone who was considered for this year’s prizes,” said Ramin Zabih, founder and president, Computer Vision Foundation (CVF), co-sponsor of CVPR 2023. “These awards reflect one of the highest achievements in the field of computer vision. Apart from their clear importance on an individual and organizational level, they also serve the global community by recognizing the best of what computer vision currently has to offer and providing an indication of the exciting advances the future holds.”

Additionally, IEEE CS announced the Technical Community on Pattern Analysis and Machine Intelligence (TCPAMI) Awards at this year’s conference. The following were recognized for their achievements:

  • Longuet-Higgins Prize – Awarded to a paper that has withstood the test of time, the 2023 Longuet-Higgins Prize recognizes the CVPR paper from 2013 with the most impact.
  • Young Researcher Award – This award recognizes one or two researchers within seven years of receiving their Ph.D. who have made distinguished research contributions to computer vision.
    • 2023 Recipients: Christoph Feichtenhofer and Judy Hoffman
  • Thomas Huang Memorial Prize – Established in 2020, in honor of Thomas S. Huang, one of the foremost figures in computer vision, pattern recognition and human computer interaction, of his time, the prize recognizes and honors distinguished individuals with long-standing service, research, and mentoring within the computer vision community.
    • 2023 Recipient: Alyosha Efros

“These awards demonstrate the longevity and impact of CVPR research,” shared Patel. “We are proud to recognize these achievements and the continued advancements of the computer vision community.”

About CVPR 2023

The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), deep learning, and much more. Sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR delivers the important advances in all areas of computer vision and pattern recognition and the various fields and industries they impact. With first-in-class technical content, a main program, tutorials, workshops, a leading-edge expo, and attended by more than 10,000 people annually, CVPR creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation.

CVPR 2023 is taking place now through 22 June at the Vancouver Convention Center in Vancouver, Canada, and virtually. For more information about CVPR 2023, the program, and how to participate, visit

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). Visit for more information.

About the IEEE Computer Society

Engaging computer engineers, scientists, academia, and industry professionals from all areas of computing, the IEEE Computer Society (CS) sets the standard for the education and engagement that fuels continued global technological advancement. Through conferences, publications, and programs, and by bringing together computer science and engineering leaders at every phase of their career for dialogue, debate, and collaboration, IEEE CS empowers, shapes, and guides the future of not only its members, but the greater industry, enabling new opportunities to better serve our world. Visit for more information.