Charig Yang

I am a first-year PhD student in Autonomous Intelligent Machines and Systems at University of Oxford, generously funded by EPSRC and AIMS.

I did my undergraduate in Engineering Science, also at Oxford. During which, I spent lovely summers at Japan Railways, Metaswitch, True, CP Group, and Oxford’s Engineering Department.

Prior to which, I was born and raised in the suburbs of Bangkok, Thailand, and had my pre-university education in Singapore.

Email  /  CV  /  Twitter  /  Github  /  Google Scholar

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I currently work on computer vision (i.e. how computers understand images), specifically in self-supervised learning (i.e. how to do so without requiring expensive annotations).

Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie
Short: CVPR Workshop on Robust Video Scene Understanding, 2021 (Best Paper Award) Full: ICCV, 2021
project page / arXiv

We use transformers to group independently moving parts into layers, resulting in self-supervised segmentation.

Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman
ACCV, 2020
project page / arXiv

We consider the task of camouflaged animal discovery and present a large-scale video camouflage dataset.


I teach tutorial classes for undergraduates in P2 (first-year) Electronic and Information Engineering, A1 (second-year) Mathematics, C19 (fourth-year) Machine Learning at Exeter and St. Peter's Colleges.

You can find my summary notes for all P and A modules, and some B modules here.

Template gratefully stolen from here.