Speaker

Ziwei Liu

Title

From Multimodal Generative Models to Dynamic World Modeling

Abstract

Beyond the confines of flat screens, multimodal generative models are crucial to create immersive experiences in virtual reality, not only for human users but also for robotics. Virtual environments or real-world simulators, often composed of complex 3D/4D assets, significantly benefit from the accelerated creation enabled by Gen AI. In this talk, we will introduce our latest research progress on multimodal generative models for objects, avatars, scenes, motions, and ultimately dynamic world models.

Bio

Ziwei Liu is currently an Associate Professor and a Provost’s Chair in AI at Nanyang Technological University, Singapore. His research revolves around computer vision, machine learning and computer graphics. He has published extensively on top-tier conferences and journals in relevant fields, including CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, TPAMI, TOG and Nature Machine Intelligence. He is the recipient of PAMI Mark Everingham Prize, CVPR Best Paper Award Candidate, International Congress of Basic Science Frontiers of Science Award, MIT Technology Review Innovators under 35 Asia Pacific, Asian Young Scientist Fellowship and Singapore President’s Young Scientist Award. He serves as an Area Chair of CVPR, ICCV, ECCV, NeurIPS and ICLR, as well as an Associate Editor of TPAMI and IJCV.

Language

English (Offline)