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HomeNewsCVPR 2023 Announced Best Paper Awards

CVPR 2023 Announced Best Paper Awards

CVPR 2023 reveals 12 Best Paper winners from 9,000+ submissions.

The Computer Vision and Pattern Recognition (CVPR) Conference Awards Committee announced the winners of the highly anticipated Best Paper Awards for 2023. CVPR 2023 is hosted by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF). CVPR is the leading conference for new research in computer vision, artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), and deep learning (DL). 

The CVPR 2023 received an impressive 9,155 paper submissions, with each submission undergoing a thorough evaluation by a minimum of 3 reviews from a pool of 6,625 reviewers. Out of this rigorous process, 2,359 papers were accepted, resulting in a 25.8% acceptance rate. After careful evaluation the CVPR 2023 Awards Committee handpicked 12 outstanding papers as the Best Paper winners of the year.

The announcement was made during a special keynote session on June 21, 2023. The winners of the CVPR 2023 Best Paper Awards are as follows:

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In addition to the Best Paper Awards, IEEE CS also announced the recipients of the Technical Community on Pattern Analysis and Machine Intelligence (TCPAMI) Awards at the conference. 

  • The Longuet-Higgins Prize was awarded to the 2013 paper “Online Object Tracking: A Benchmark” by Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang.¬†
  • The Young Researcher Award was given to Christoph Feichtenhofer and Judy Hoffman.
  • The Thomas Huang Memorial Prize was awarded to Alyosha Efros.

These awards not only celebrate the lasting impact of research presented at CVPR but also highlight the continued advancements made by the computer vision community.

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Amulya Reddy Avanaganti
Amulya Reddy Avanaganti
I am a graduate in Artificial Intelligence Engineering. I have a great passion for AI and ML technologies. I am an adaptable and energetic individual who always looks for new challenges and opportunities to learn and grow as an AI professional. Apart from my technical interests, I am into Content Writing, Photography and Painting.

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