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CVPR 2023 Plenary Panels to Expound on History and Future of AI; Highlight Creativity in Computer Vision and Language; and Showcase the Impacts of Data Analysis on the Environment

WHAT: 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.

WHO/WHEN: Complementing the lineup of CVPR 2023 keynote speakers, the CVPR 2023 Program Committee announced the plenary panels for this year’s event. An assembly of some of the top minds in AI, computer vision and image processing, and environmental sciences, will expound on topics including History and Future of AI; Creativity in Computer Vision and Language; and the Impacts of Scientific Discovery on the Environment.

Panel: History and Future of Artificial Intelligence and Computer Vision
Tuesday, 20 June, 2-3:00 pm PDT


  • Chelsea Finn, Ph.D., is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction.
  • Daniel Huttenlocher, Ph.D., is the inaugural dean of the MIT Schwarzman College of Computing and is the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science. Previously he helped found Cornell Tech, the digital technology-oriented graduate school created by Cornell University in New York City and served as its first Dean and Vice Provost.
  • Linda Shapiro, Ph.D., is the Professor of Computer Science and Engineering, Professor of Electrical and Computer Engineering, and Adjunct Professor of Biomedical and Informatics and Medical Education at the University of Washington. Her current work includes robot vision, cancer biopsy analysis, brain image analysis, and semantic segmentation.
  • Jamie Shotton, Ph.D., is Chief Scientist at Wayve, a company building the next generation of autonomous driving. Prior to Wayve, he was Partner Director of Science at Microsoft and head of the Mixed Reality & AI Labs where he shipped foundational features including body tracking for Kinect and the hand- and eye-tracking that enable HoloLens 2’s instinctual interaction model.

Panel: Vision, Language, and Creativity

Wednesday, 21 June, 2-3:00 pm PDT


  • Aaron Hertzmann, Ph.D., is a Principal Scientist at Adobe, and Affiliate Professor at the University of Washington. He has published over 100 papers in computer graphics, computer vision, machine learning, robotics, human-computer interaction, and art.
  • Michal Irani, Ph.D., is a Professor and Dean of Faculty in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, Israel. Her research interests center around Computer Vision, Image Processing, AI, and Video Information analysis.
  • Devi Parikh, Ph. D., is a Research Director in the Generative AI Division at Meta, and an Associate Professor in the School of Interactive Computing at Georgia Tech. Her research interests are in computer vision, natural language processing, embodied AI, human-AI collaboration, and AI for creativity.
  • Jason Salavon is Associate Professor in the Department of Visual Arts at the University of Chicago. A pioneer of software-based fine art, he works at the intersection of art, culture, and technology. Using self-authored code, he creates visually arresting artworks from culturally loaded material: U.S. Census data, the IKEA catalog, episodes of The Simpsons, Wikipedia pages, the history of Western painting.

Panel: Scientific Discovery and the Environment
Thursday, 22 June, 2-3:00 pm PDT


  • Elizabeth Barnes, Ph.D., is Professor of Atmospheric Science at Colorado State University. Her research is largely focused on climate variability and change, and the data analysis tools used to understand it.
  • Sara Beery, Ph.D., is a visiting researcher at Google, working on large-scale urban forest monitoring as part of the Auto Arborist Project. Her research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities, tackling real-world challenges including geospatial and temporal domain shift, learning from imperfect data, fine-grained categories, and long-tailed distributions.
  • Joshua Bloom, Ph.D., is Chair of the Department of Astronomy at the University of California, Berkeley where, as Professor, he teaches radiative processes, high-energy astrophysics, and a graduate-level "Python for Data Science" course.
  • Kyle Cranmer, Ph.D., is the David R. Anderson Director of the University of Wisconsin-Madison Data Science Institute and a Professor of Physics with courtesy appointments in Statistics and Computer Science. His current interests are at the intersection of physics, statistics, and machine learning.

WHERE: Vancouver Convention Center, Vancouver, Canada

WHY: Sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR 2023 promises to deliver the important advances in all areas of computer vision and pattern recognition and the various fields and industries they impact.

With a record number of paper submissions, 9,155, an increase of 12 percent over last year, and an acceptance rate of just 25.8 percent, CVPR 2023 will deliver a program of the highest of quality that will enable attendees to discover, understand and gain critical knowledge around the computer vision and pattern recognition topics that are transforming the industry.

HOW: Interested industry professionals can register for CVPR 2023 by visiting of the media can request a media pass by visiting

CVPR 2023 PR Team