Extended Reality
Extended Reality (XR), encompassing virtual, augmented, and mixed reality, aims to create immersive and interactive experiences by blending digital and physical worlds. Current research focuses on improving XR's efficiency and realism through advancements in areas like high-fidelity 3D scene reconstruction (e.g., using Gaussian splatting and Neural Radiance Fields), low-latency interaction (e.g., via optimized eye tracking and predictive teleoperation), and energy-efficient hardware designs. These improvements are crucial for expanding XR's applications in diverse fields, including robotics, teleoperation, human-computer interaction, and mental health treatment, while addressing challenges related to data streaming, privacy, and user experience.
Papers
ResLearn: Transformer-based Residual Learning for Metaverse Network Traffic Prediction
Yoga Suhas Kuruba Manjunath, Mathew Szymanowski, Austin Wissborn, Mushu Li, Lian Zhao, Xiao-Ping Zhang
CUIfy the XR: An Open-Source Package to Embed LLM-powered Conversational Agents in XR
Kadir Burak Buldu, Süleyman Özdel, Ka Hei Carrie Lau, Mengdi Wang, Daniel Saad, Sofie Schönborn, Auxane Boch, Enkelejda Kasneci, Efe Bozkir