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.

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

News

04/25 : Survey paper accepted to ACM Computing Surveys!
04/25 : Serving as a reviewer for ICCV'25.
03/25 : Serving as a reviewer for ICML'25.
02/25 : One paper accepted to CVPR'25!
12/24 : Serving as a reviewer for CVPR'25.
10/24 : Started a postdoctoral research position under Prof. Christian Theobalt.
10/24 : Serving as a reviewer for ICLR'25.
07/24 : Invited to give a talk at the ICME 2024 Metaverse Workshop, titled "Shaping Virtual Realities: Diffusion Models for Metaverse Applications".
07/24 : One paper accepted to ECCV'24!
06/24 : Serving as a reviewer for NeurIPS'24.
05/24 : Recognized as Outstanding Revewier for CVPR'24!
04/24 : Serving as a reviewer for ECCV'24.
03/24 : Serving as a reviewer for ICML'24.
03/24 : Serving as a reviewer for IJCAI'24.
02/24 : Two papers accepted to CVPR'24!
02/24 : Invited to give a talk at SDSC Industry & Demo Day 2024 at NUS, titled "Beyond Image Generation: Diffusion Models for 3D Pose and Mesh Recovery".
10/23 : Serving as a reviewer for CVPR'24.
10/23 : Serving as a reviewer for ICLR'24.
09/23 : Created a Twitter/X account. Let's connect!
08/23 : Awarded the PREMIA Best Student Paper 2023 Commendation prize for TPAMI paper "GradMDM: Adversarial Attack on Dynamic Networks".
08/23 : Uploaded a survey: "AI-Generated Content (AIGC) for Various Data Modalities: A Survey" to arXiv.
07/23 : One paper accepted to ICCV'23!
06/23 : One paper accepted to TPAMI!
06/23 : Serving as a reviewer for NeurIPS'23.
05/23 : One paper accepted to TMM!
04/23 : One paper accepted to TPAMI!
04/23 : Serving as a reviewer for ICCV'23.
03/23 : Five papers accepted to CVPR'23!
02/23 : Serving as a reviewer for ICML'23.
10/22 : Serving as a reviewer for ICLR'23.
09/22 : One paper accepted to NeurIPS'22!
07/22 : Serving as a reviewer for NeurIPS'22.
07/22 : Three papers accepted to ECCV'22!

Featured Publications

(*) = Equal Contribution

	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 paper / poster / video
	Distribution-aligned Diffusion for Human Mesh Recovery Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu International Conference on Computer Vision (ICCV), 2023 paper / poster / video / project website
	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
	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 / poster / code / video
	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 paper / poster / video
	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 / poster / video
	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