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{Seminar} @ CDS: 01st February: ” Mixing Synthetic and Real-World Captures for RGB Hand Pose Estimation”

01 Feb @ 11:30 AM -- 12:30 PM

Department of Computational and Data Sciences

Department Seminar


SPEAKER     :  Dr. Angela Yao

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


01 Feb
11:30 AM -- 12:30 PM
Event Category:


Room No: 102 (Seminar Hall of CDS)