Department of Computational and Data Sciences
TITLE : “Mixing Synthetic and Real-World Captures for RGB Hand Pose Estimation”
Date & Time : February 01, 2023, 11:30 AM.
Venue : #102, CDS Seminar Hall.
How can we learn models for hand pose estimation without any (real-world) labels? This talk presents our recent efforts in tackling the challenging scenario of learning from labelled synthetic data and unlabelled real-world data. I will focus on two strategies that we find to be effective: (1) cross-modal consistency and alignment for representation learning and (2) pseudo-label corrections and refinement.
The second part of the talk will introduce Assembly101, our newly recorded dataset that tackles 3D hand pose and action understanding over time. Assembly101 is a new procedural activity dataset featuring multiview + egocentric videos of people assembling and disassembling “take-apart” toy vehicles.
Angela Yao is a Dean’s Chair Assistant Professor in the School of Computing at the National University of Singapore. She received a PhD from ETH Zurich and a BASc from the University of Toronto. Angela leads the Computer Vision and Machine Learning group, with a special focus on vision-based human motion analysis. She is the recipient of the German Pattern Recognition (DAGM) award (2018) and Singapore’s National Research Foundation’s Fellowship in Artificial Intelligence (2019).
Host Faculty: Prof. Venkatesh Babu
ALL ARE WELCOME