量子位·2025-06-26 02:11Core Viewpoint - Kaiming He, a prominent figure in computer vision, has recently joined Google DeepMind as a part-time distinguished scientist after obtaining tenure at MIT, indicating a strategic collaboration between academia and industry in AI research [1][2][5][7]. Group 1: Kaiming He's Career and Achievements - Kaiming He is recognized as a legendary figure in the computer vision field, having received his undergraduate degree from Tsinghua University and his PhD from the Chinese University of Hong Kong under the supervision of Xiaodong Wu [9][10]. - He co-authored the award-winning paper "Single Image Haze Removal Using Dark Channel Prior" in 2009, marking a significant achievement for Asian researchers in the CVPR conference [10]. - After completing his PhD in 2011, he worked at Microsoft Research Asia and later joined Facebook AI Research (FAIR), where he developed the influential ResNet architecture, which has been cited over 280,000 times [11][12][15]. - His research contributions include notable works like Faster R-CNN and Mask R-CNN, the latter winning the best paper award at ICCV 2017 [15][18]. Group 2: Recent Developments and Collaborations - Kaiming He joined MIT's EECS department in 2023, marking a return to academia after a significant tenure in the industry, which garnered attention and speculation about Meta's loss [16][18]. - His recent research focuses on model performance optimization, including advancements in image generation techniques and the development of highly compressed tokenizers for text generation [20]. - He has collaborated with Google DeepMind on various projects, including the paper "Fractal Generative Models," which introduced a new paradigm for generating high-resolution images [22][23]. - The collaboration with DeepMind has been ongoing, with previous joint efforts addressing challenges in visual autoregressive models and proposing solutions for scaling these models [25][27].