Foo Lin Geng
I'm currently a postdoctoral researcher at the Max-Planck Institute for Informatics, under the Visual Computing and Artificial Intelligence (VCAI) Department, supervised by Prof. Christian Theobalt.
I obtained my PhD at Singapore University of Technology and Design (SUTD) under the Information Systems and Design (ISTD) pillar, where my research was supported by the President's Graduate Fellowship. I was advised by Prof. Liu Jun.
Prior to my PhD, 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 research interests include video analysis, activity understanding, diffusion models, and dynamic neural networks. Currently, I am also interested in video and 3D human generation/editing.
I very recently created a Twitter/X account. Let's connect for more updates regarding research and ideas.
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Featured Publications
(*) = Equal Contribution
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Action Detection via an Image Diffusion Process
Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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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
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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
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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
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Unified Pose Sequence Modeling
Lin Geng Foo (*), Tianjiao Li (*), Hossein Rahmani, Qiuhong Ke, Jun Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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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
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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
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