Charig Yang

I am a fourth (final) year PhD student at the Visual Geometry Group (VGG) at University of Oxford, advised by Andrew Zisserman and Weidi Xie. I am also part of Autonomous Intelligent Machines and Systems at University of Oxford, and am 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.

Email / CV / Twitter / Github / Google Scholar

Research

My PhD research focuses on exploring new applications of computer vision using `time' as self-supervision. I am particularly interested in (i) new applications previously unachievable in computer vision, (ii) simple and elegant solutions (to existing/new problems) without bells and whistles.

	Made to Order: Discovering monotonic temporal changes via self-supervised video ordering Charig Yang, Weidi Xie, Andrew Zisserman Coming soon project page / arXiv Coming soon.
	It's About Time: Analog Clock Reading in the Wild Charig Yang, Weidi Xie, Andrew Zisserman CVPR, 2022 project page / arXiv We show that neural networks can read analog clocks in unconstrained environments without manual supervision.
	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.

Teaching

2022-23: A2 (second-year) Electronic and Information Engineering, B14 (third-year) Information Engineering Systems, C18 (fourth-year) Computer Vision and Robotics
2021-22: B14 (third-year) Information Engineering Systems
2020-21: P2 (first-year) Electronic and Information Engineering, A1 (second-year) Mathematics, C19 (fourth-year) Machine Learning

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

Template gratefully stolen from here.