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, 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

News

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: "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 : Serving as a reviewer for TBIOM.
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 IJCV.
07/22 : Serving as a reviewer for NeurIPS'22.
07/22 : Three papers accepted to ECCV'22!
03/22 : Serving as a reviewer for TIP.
02/22 : Serving as a reviewer for ICML'22.
01/22 : Received Outstanding Graduate Teaching Assistant Award!

Featured Publications

(*) = Equal Contribution

	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
	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 / code / 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 / 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
	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

Foo Lin Geng

News

Featured Publications

Distribution-aligned Diffusion for Human Mesh Recovery

GradMDM: Adversarial Attack on Dynamic Networks

DiffPose: Toward More Reliable 3D Pose Estimation

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

ERA: Expert Retrieval and Assembly for Early Action Prediction

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