Publications

Google Scholar

• Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu, Action Detection via an Image Diffusion Process, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
• Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu, LLMs are Good Sign Language Translators, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
• Lin Geng Foo, Hossein Rahmani, Jun Liu, AI-Generated Content (AIGC) for Various Data Modalities: A Survey, arXiv, 2023. [paper]
• Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu, Distribution-Aligned Diffusion for Human Mesh Recovery, International Conference on Computer Vision (ICCV), 2023. [paper] [video]
• Haoxuan Qu, Lin Geng Foo, Yanchao Li, Jun Liu, Towards More Reliable Confidence Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [paper]
• Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu, Progressive Channel-Shrinking Network, IEEE Transactions on Multimedia (TMM), 2023. [paper] [code]
• Jianhong Pan*, Lin Geng Foo*, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu, GradMDM: Adversarial Attack on Dynamic Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [paper] [code] Awarded the PREMIA Best Student Paper 2023 Commendation prize.
• Lin Geng Foo*, Jia Gong*, Zhipeng Fan, Jun Liu, System-status-aware Adaptive Network for Online Streaming Video Understanding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper] [video]
• Jia Gong*, Lin Geng Foo*, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu, DiffPose: Toward More Reliable 3D Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper] [code] [video]
• Lin Geng Foo*, Tianjiao Li*, Hossein Rahmani, Qiuhong Ke, Jun Liu, Unified Pose Sequence Modeling, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper] [video]
• Tianjiao Li*, Lin Geng Foo*, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu, Token Boosting for Robust Self-Supervised Visual Transformer Pre-training, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper] [video]
• Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu, A Characteristic Function-based Method for Bottom-up Human Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper]
• Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu, Heatmap Distribution Matching for Human Pose Estimation, Annual Conference on Neural Information Processing Systems (NeurIPS), 2022. (Spotlight Presentation) [paper]
• Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu, Improving the Reliability for Confidence Estimation, European Conference on Computer Vision (ECCV), 2022. [paper] [code]
• Lin Geng Foo*, Tianjiao Li*, Hossein Rahmani, Qiuhong Ke, Jun Liu, ERA: Expert Retrieval and Assembly for Early Action Prediction, European Conference on Computer Vision (ECCV), 2022. [paper] [poster] [slides] [video]
• Tianjiao Li*, Lin Geng Foo*, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu, Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition, European Conference on Computer Vision (ECCV), 2022. [paper] [poster] [slides] [video]

* Equal Contribution