AI Thrust Seminar| Sequence and Pattern Forecasting Across Heterogeneous Domains
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In recent years, as we move towards ubiquitous autonomous driving applications, future trajectory prediction research has received growing interests in the research community and industry. In this talk, I will introduce future prediction as a fundamental problem of intelligence that helps plan actions and avoid possible dangers. This talk will cover three topics in this area, fundamental algorithms and models, vision-based future forecasting, and pattern forecasting applications in the computational biomedical domain.
Dr. Junwei Liang is senior researcher at Tencent Youtu Lab working on cutting-edge computer vision research and applications. Prior to that, he received his Ph.D. degree from Carnegie Mellon University, working with Prof. Alexander Hauptmann. He is the recipient of Baidu Scholarship and Yahoo Fellowship, and awarded Rising Star Award at the World AI Conference in 2020. His research interests include human trajectory forecasting, action recognition, and large-scale computer vision and video analytics in general. His mission: develop AI technologies for social good.