SCS Students Earn Qualcomm Innovation Fellowships for Pose Estimation, Distributed Deep Learning

Two School of Computer Science students were part of teams awarded 2022 Qualcomm Innovation Fellowships for their work in pose estimation and optimization in distributed deep learning. As part of the program, each team will receive $100,000 in funding and mentoring from Qualcomm engineers. Zhengyi Luo, a Ph.D. student in the Robotics Institute (RI), and Yu-Jhe Li, a Ph.D. student in the Electrical and Computer Engineering Department, are researching pose estimation, an essential component for human-like 3D avatars in games or sci-fi-like telepresence. They were nominated for their proposal "Near- and Far-Field Sensor Fusion for 3D Body Pose Estimation and Tracking," which merges the two sensing techniques and leverages the advantages of each. By fusing the two data streams, their work could enhance the quality of immersive mixed-reality experiences.