Mobile AR/VR with Edge-based Deep Learning
This seminar is CSCI 6999 eligible
Jiasi Chen (UC Riverside)
Augmented and virtual reality (AR/VR) are at the frontier of mobile computing. While AR/VR applications are gaining popularity today, the technologies to support these applications are far from mature. This talk will first outline the current state of mobile AR/VR platforms, including what functionality is currently available, what is needed/desired, and how edge computing can support the low latency and high bandwidth requirements of AR/VR. Next, the talk will discuss the role of deep learning to support AR/VR through two examples: object detection for AR, and user behavior prediction for VR, along with their associated systems, control, and management challenges. Finally, the talk will conclude with future directions for networked AR/VR.
Jiasi Chen is an Assistant Professor in the Dept. of Computer Science & Engineering at the University of California, Riverside. She received her Ph.D. from Princeton University and her B.S. from Columbia University, with work experience at AT&T Labs Research and NEC Labs America. Her research interests include edge computing, wireless/mobile systems, and multimedia networking, with recent focus on augmented and virtual reality. She is a recipient of the Hellman Fellowship and the UCR Regents Faculty Fellowship.
CS Auditorium (#127)
Goldberg Computer Science Building
6050 University Avenue, Halifax