Foo Lin Geng

I'm currently a PhD student at Singapore University of Technology and Design (SUTD), and my research is supported by the President's Graduate Fellowship. My advisor is Prof. Liu Jun from the Information Systems and Design (ISTD) pillar.

Prior to this, I obtained my Bachelor's Degree in Engineering Systems and Design (ESD), Summa Cum Laude (highest honors) from SUTD in 2019, where I also obtained the Keppel Award of Excellence in both 2018 and 2019, and the EY Business Analytics Award (awarded to the top student in the business analytics track).

My current research interests include video analysis, activity understanding, diffusion models, and dynamic neural networks.

I very recently created a Twitter/X account. Let's connect for more updates regarding research and ideas.

Email  /  Google Scholar  /  Twitter/X  /  YouTube  /  LinkedIn

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News


Featured Publications

(*) = Equal Contribution

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Distribution-aligned Diffusion for Human Mesh Recovery


Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu
International Conference on Computer Vision (ICCV), 2023
paper / video / project website

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GradMDM: Adversarial Attack on Dynamic Networks


Jianhong Pan (*), Lin Geng Foo (*), Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Awarded the PREMIA Best Student Paper 2023 Commendation prize, 2023
paper / code

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DiffPose: Toward More Reliable 3D Pose Estimation


Jia Gong (*), Lin Geng Foo (*), Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paper / code / video

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System-status-aware Adaptive Network for Online Streaming Video Understanding


Lin Geng Foo (*), Jia Gong (*), Zhipeng Fan, Jun Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paper / video

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ERA: Expert Retrieval and Assembly for Early Action Prediction


Lin Geng Foo (*), Tianjiao Li (*), Hossein Rahmani, Qiuhong Ke, Jun Liu
European Conference on Computer Vision (ECCV), 2022
paper / poster / slides / video

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Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition


Tianjiao Li (*), Lin Geng Foo (*), Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu
European Conference on Computer Vision (ECCV), 2022
paper / poster / slides / video




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