GAMES Webinar 2021 – 195期(海外专题) | Srinath Sridhar (Brown University)
【GAMES Webinar 2021-195期】(海外专题，Talk+Panel形式)
报告嘉宾：Srinath Sridhar (Brown University)
报告题目：Perception and Generation of Physical Interactions
Building smarter robots or interactive mixed reality experiences requires deep knowledge of how humans physically move and interact with objects. In this talk, I will introduce our work on understanding human motion and physical interactions. I will begin with humans and discuss approaches for human motion perception and generation. For objects, the focus of most previous work has been on shape and appearance. But interaction understanding requires knowing about properties such as articulation — I will present some of our work on perception and generation of articulation, motion, and dynamics. Finally, I will end by taking stock of the state of the art and discussing directions for future work.
Srinath Sridhar () is an assistant professor of computer science at Brown University. His research interests are in 3D computer vision and machine learning. Specifically, he focuses on visual understanding of 3D human physical interactions with applications ranging from robotics to mixed reality and HCI. He has won several fellowships (e.g., Google Research Scholar) and awards (e.g., Eurographics Best Paper Honorable Mention) for his work, and has previously spent time at Stanford, Max Planck Institute for Informatics, Microsoft Research Redmond, and Honda Research Institute.
黄其兴是德州大学奥斯丁分校计算机系的助理教授。他的研究领域包括计算机图形学、计算机视觉和机器学习。他在SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML 等顶级会议发表了近六十篇文章。他是NSF Career 奖以及多个最佳论文奖的获得者。他在注册、重建以及物体理解上的工作在工业界得到了运用。黄教授最近的研究兴趣是混合物体表示以及共同学习的理论基础。
Yebin Liu is an associate professor in Department of Automation, Tsinghua University. His research areas include computer vision, computer graphics and computational photography. He has published more than 50 papers in top conferences and journals including CVPR, ICCV, ECCV, TPAMI, and TOG. He won the First Prize of National Technology Invention Award in 2012.
Juyong Zhang is an associate professor of mathematics science at University of Science and Technology of China. His research interests include 3D computer vision and computer graphics. Specifically, he focuses on 3D vision tasks like stereo matching, optical flow, registration and 3D reconstruction, especially for digitalizing human. He is an associate editor of IEEE Transactions on Multimedia and The Visual Computer.
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