Berkeley EECS win awards at CVPR

CS Assistant Professor Angjoo Kanazawa has won the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Young Researcher Award. The award recognizes researchers who have made distinguished contributions to Computer Vision within seven years of receiving their Ph.D.
Kanazawa currently leads the Kanazawa AI Research (KAIR) Lab under Berkeley AI Research (BAIR) and serves on the advisory board of the startup Luma AI.
EECS Professors Trevor Darrell and Jitendra Malik were named winners of the Longuet-Higgins Prize, which recognizes a paper that has withstood the test of time. Their work, “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,” published in 2014, was co-authored by Ross Girshick and Jeff Donahue (Ph.D. ’17, advisor: Trevor Darrell).
Malik is currently the Arthur J. Chick Endowed Chair in Electrical Engineering and Computer Sciences, and his research group works on many different topics in computer vision, computational modeling of human vision, machine learning, and robotics.
Darrell is the founder and co-lead of BAIR lab, the Berkeley DeepDrive (BDD) Industrial Consortia, and the recently launched BAIR Commons program in partnership with Facebook, Google, Microsoft, Amazon, and others.
The IEEE / CVF CVPR is the premier annual computer vision conference, hosting students, academics, and industry researchers.
A correction was made on July 15, 2024: An earlier version of this article misstated the startup on which Angjoo Kanazawa sits on the advisory board. She serves on the advisory board of Luma AI.