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\u2019s winners:<\/p>\n \u201cTo realize that these recipients were selected from more than 9,000 potential candidates makes them all the more impactful,\u201d said IEEE Computer Society (CS) President Nita Patel, co-sponsor of CVPR 2023. \u201cClearly, these awards recognize and honor the groundbreaking work being done in the field of computer vision and pattern recognition, and it\u2019s the developments showcased in research like this that will continue to advance and transform our industry.\u201d<\/p>\n \u201cWe congratulate the 2023 award winners as well as everyone who was considered for this year\u2019s prizes,\u201d said Ramin Zabih, founder and president, Computer Vision Foundation (CVF), co-sponsor of CVPR 2023. \u201cThese 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.\u201d<\/p>\n Additionally, IEEE CS announced the Technical Community on Pattern Analysis and Machine Intelligence (TCPAMI) Awards at this year\u2019s conference. The following were recognized for their achievements:<\/p>\n \u201cThese awards demonstrate the longevity and impact of CVPR research,\u201d shared Patel. \u201cWe are proud to recognize these achievements and the continued advancements of the computer vision community.\u201d<\/p>\n About CVPR 2023<\/strong><\/p>\n 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.<\/p>\n 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 https:\/\/cvpr2023.thecvf.com\/.<\/p>\n About the Computer Vision Foundation<\/strong><\/p>\n 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 https:\/\/www.thecvf.com\/ for more information.<\/p>\n About the IEEE Computer Society<\/strong><\/p>\n 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 computer.org for more information.<\/p>\n<\/p><\/div>\n![\"CVPR](\"https:\/\/ieeecs-media.computer.org\/wp-media\/2023\/06\/21152156\/CVPR-2023-Best-Paper-Awards.jpg\")
VANCOUVER, 21 June 2023 \u2013<\/strong> 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.<\/p>\n\n
Authors: Tanmay Gupta, Aniruddha Kembhavi (Author Q&A<\/em>)<\/li>\n
Authors: Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li (Author Q&A<\/em>)<\/li>\n
Authors: Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely<\/li>\n
Authors: Xiyu Zhang, Jiaqi Yang, Shikun Zhang, Yanning Zhang<\/li>\n
Authors: Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman<\/li>\n<\/ul>\n\n
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