GAMES Webinar 2021 – 201期(VR专题) | Lap-Fai Yu (George Mason University)，徐枫（清华大学）
【GAMES Webinar 2021-201期】(VR专题)
报告嘉宾1：Lap-Fai Yu (George Mason University)
报告时间：2021年9月23号星期四晚上8:00-8:45（北京时间）
报告题目：Creating the Virtual Reality of the Future with Artifical Intelligence and Computational Design
报告摘要：
With the advancement in virtual reality (VR) and mixed reality (MR), what will the future of work, entertainment, and everyday life be like 5-10 years from now? In this talk, I will discuss recent advances of our research group on using artificial intelligence and computational design approaches to devise novel content-creation tools and user interfaces for creating the VR of the future. More specifically, I will discuss how to use optimization techniques to automate the design of human-centric virtual environments; how to devise AI-driven user interfaces to assist users with navigation in virtual enviroments; and how to integrate computer vision and scene understanding techniques into the creation of intelligent, human-friendly avators such as virtual pets and virtual assistants in mixed reality. I will end my talk by discussing many interesting research problems which are key to unlocking the full potential of virtual and mixed reality.
讲者简介：
Lap-Fai (Craig) Yu is an associate professor at the Computer Science Department at George Mason University, where he leads the Design Computing and Extended Reality (DCXR) group. He works on computer graphics, vision, human-computer interaction, and virtual reality, particularly in AI and data-driven techniques for computational design. He obtained his Ph.D. degree in Computer Science from the University of California, Los Angeles, with an Outstanding Recognition in Research Award. His research has been featured by New Scientist, the UCLA Headlines, and the IEEE Xplore Innovation Spotlight; and has won Best Paper Honorable Mention Awards at 3DV and CHI conferences. He received an NSF CRII award and an NSF CAREER award for his research in computational design and virtual reality. He regularly serves on the technical program committees of ACM CHI, IEEE Virtual Reality, and ACM SIGGRAPH Asia.
报告嘉宾2：徐枫（清华大学）
报告时间：2021年9月23号星期四晚上8:45-9:30（北京时间）
报告题目：基于深度学习的交互运动感知与重建
报告摘要：
针对人的运动感知和重建是计算机图形学、计算机视觉领域的热点研究问题，以人脸、人体、人手以及全身为研究对象的相关技术，对影视、游戏、虚拟/增强现实等应用场景具有重要意义。随着技术的不断发展，在纯人感知与重建的基础上，人与物体的交互场景受到越来越多研究者的关注，成为这一领域的前沿方向之一，有望对未来机器人、人机交互等技术的发展注入新的活力。然而交互运动中人与物体互相遮挡，物体复杂运动的引入等，都给问题的解决增加了新的困难，本报告将针对这些新的困难，探讨可能的解决思路和方法。
徐枫，中国人工智能学会副秘书长，清华大学软件学院副教授，博士生导师，国家优秀青年科学基金，北京市杰出青年基金获得者。研究方向涉及计算机图形学、智慧医疗、虚拟/增强现实等。相关工作发表在ACM TOG, IEEE TVCG, CVPR等国际权威期刊和会议上。
讲者个人主页：http://xufeng.site
主持人简介：
杨旭波，上海交通大学教授，研究领域为虚拟现实VR/AR/MR与计算机图形学。博士毕业于浙江大学CAD&CG国家重点实验室,曾在德国Fraunhofer-IMK所虚拟现实系、新加坡国立大学混合现实实验室、美国北卡大学教堂山分校计算机系做研究工作。现任中国图学学会计算图学专委会副主任、中国图学学会理事、中国计算机学会虚拟现实专委会常委、中国图象图形学会虚拟现实专委会常委等，担任IEEE VR等国际会议论文共同主席，Frontiers in VR期刊和Presence:VR & AR等国际期刊编委。
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