This week Ying Chen is presenting our work on evaluating and exploiting characteristics of user pose in VR at IEEE INFOCOM’22, in a paper and an accompanying demonstration:
VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations presents the first statistical model of viewport pose in VR and develops the first analytically grounded algorithm that establishes which contents should be reused across the frames [PDF] [Code and data]
Demo: Pixel Similarity-Based Content Reuse in Edge-Assisted Virtual Reality showcases how adaptive cross-frame content reuse reduces bandwidth requirements in edge computing-supported VR [Demo abstract PDF] [Video of the demo]
About Maria Gorlatova
Dr. Maria Gorlatova is the Sternberg Family Associate Professor of Electrical and Computer Engineering at Duke University. Her research centers on pervasive computing technologies, with a focus on spatial computing and next-generation augmented reality. She received her Ph.D. in Electrical Engineering from Columbia University and her M.Sc. and B.Sc. degrees (Summa Cum Laude) in Electrical Engineering from the University of Ottawa, Canada. She spent two years at Princeton University’s Electrical Engineering Department as an Associate Research Scholar and Associate Director of the Princeton University EDGE Lab. Dr. Gorlatova was named one of the N2Women Rising Stars and has received multiple awards, including the NSF CAREER Award, the DARPA Young Faculty Award (YFA), the DARPA Director’s Fellowship, the IEEE ISMAR 2025 Best Paper Award, the IEEE Communications Society Award for Advances in Communications, and research awards from Meta, Cisco, and IBM. She served as the TPC Co-chair of ACM/IEEE IPSN 2023, the General Co-Chair of the 2025 NSF Workshop on Networking and Systems Challenges in Immersive Computing, and the TPC Co-chair of ACM/IEEE SenSys 2025.
