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En

主题报告演讲者


  • 朱松纯 教授
  • 北京大学人工智能研究院院长
  • 简介: 朱松纯教授是人工智能领域全球著名的学者,主要研究包括通用人工智能基础、计算机视觉、统计建模与计算、认知科学、机器学习、自主机器人等。曾任美国加州大学洛杉矶分校(UCLA)统计学系与计算机系教授,UCLA计算机视觉、认知、学习与自主机器人中心(Center for Vision, Cognition, Learning and Autonomy,VCLA)主任。2020年11月起,任北京大学人工智能研究院院长。朱松纯教授已在国际顶级期刊和会议上发表论文300余篇,其研究成果集中在以下四个时期和领域:一、视觉的统计建模与计算理论 —— 为马尔的视觉理论建立统一的数理模型;二、实现图像与场景的解译(parsing)计算框架 —— 扩展了模式识别创始人傅京孙先生的句法模式识别理论;三、提出人工智能的“暗物质” —— 研究视觉与认知的物理与社会常识;四、探索迈向通用人工智能的新的研究路径 ——“小数据、大任务”范式。因在计算机视觉等人工智能领域做出的系列开创性工作,朱松纯多次问鼎计算机科学国际大奖。他在2003年获得计算机视觉领域国际最高奖项之一的马尔奖(The Marr prize),并于1999年和2007年获马尔奖荣誉奖。

  • Prof. Larry Davis
  • University of Maryland, USA
  • 简介: Larry S. Davis is a Distinguished University Professor in the Department of Computer Science and director of the Center for Automation Research (CfAR). His research focuses on object/action recognition/scene analysis, event and modeling recognition, image and video databases, tracking, human movement modeling, 3-D human motion capture, and camera networks. Davis is also affiliated with the Computer Vision Laboratory in CfAR. He served as chair of the Department of Computer Science from 1999 to 2012. He received his doctorate from the University of Maryland in 1976. He was named an IAPR Fellow, an IEEE Fellow, and ACM Fellow.

  • Prof. Yoichi Sato
  • University of Tokyo, Japan
  • 简介: Yoichi Sato received the B.S. degree from The University of Tokyo in 1990 and the M.S. and Ph.D. degrees in robotics from the School of Computer Science, Carnegie Mellon University, in 1993 and 1997, respectively. He is currently a Professor with the Institute of Industrial Science, The University of Tokyo. His research interests include physics-based vision, reflectance analysis, first-person vision, and gaze sensing and analysis. He served/is serving in several conference organization and journal editorial roles, including the IEEE Transactions on Pattern Analysis and Machine Intelligence, the International Journal of Computer Vision, Computer Vision and Image Understanding, the CVPR 2023 General Co-Chair, the ICCV 2021 Program Co-Chair, the ACCV 2018 General Co-Chair, the ACCV 2016 Program Co-Chair, and the ECCV 2012 Program Co-Chair.

  • Michael Black
  • Max Planck Institute for Intelligent Systems, Germany
  • 简介: Michael Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. from Yale University (1992). After post-doctoral research at the University of Toronto, he worked at Xerox PARC as a member of research staff and area manager. From 2000 to 2010 he was on the faculty of Brown University in the Department of Computer Science (Assoc. Prof. 2000-2004, Prof. 2004-2010). He is one of the founding directors at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he leads the Perceiving Systems department. He is also a Distinguished Amazon Scholar (VP), an Honorarprofessor at the University of Tuebingen, and Adjunct Professor at Brown University. His work has won several awards including the IEEE Computer Society Outstanding Paper Award (1991), Honorable Mention for the Marr Prize (1999 and 2005), and all three major test-of-time awards including the 2010 Koenderink Prize, the 2013 Helmholtz Prize, and the 2020 Longuet-Higgins Prize. He is a foreign member of the Royal Swedish Academy of Sciences. In 2013 he co-founded Body Labs Inc., which was acquired by Amazon in 2017.