DETR for Pedestrian Detection. - Matthieu Lin; Chuming Li; Xingyuan Bu; Ming Sun 008; Chen Lin 003; Junjie Yan; Wanli Ouyang; Zhidong Deng (CoRR, 2020)

Feature Enhanced Projection Network for Zero-shot Semantic Segmentation. - Hongchao Lu; Longwei Fang; Matthieu Lin; Zhidong Deng (ICRA, 2021)

A Mixture Of Surprises for Unsupervised Reinforcement Learning. - Andrew Zhao; Matthieu Gaetan Lin; Yangguang Li 001; Yong-Jin Liu 001; Gao Huang 001 (NeurIPS, 2022)

Boosting Offline Reinforcement Learning with Action Preference Query. - Qisen Yang; Shenzhi Wang; Matthieu Gaetan Lin; Shiji Song; Gao Huang 001 (ICML, 2023)

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. - Shenzhi Wang; Qisen Yang; Jiawei Gao 004; Matthieu Gaetan Lin; Hao Chen; Liwei Wu; Ning Jia; Shiji Song; Gao Huang 001 (NeurIPS, 2023)

T3Bench: Benchmarking Current Progress in Text-to-3D Generation. - Yuze He; Yushi Bai; Matthieu Lin; Wang Zhao 001; Yubin Hu 001; Jenny Sheng; Ran Yi; Juanzi Li; Yong-Jin Liu 001 (CoRR, 2023)

Augmenting Unsupervised Reinforcement Learning with Self-Reference. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (CoRR, 2023)

O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model. - Yubin Hu 001; Sheng Ye; Wang Zhao 001; Matthieu Lin; Yuze He; Yu-Hui Wen; Ying He 001; Yong-Jin Liu 001 (AAAI, 2024)

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. - Matthieu Lin; Jenny Sheng; Yubin Hu 001; Yangguang Li 001; Lu Qi; Andrew Zhao; Gao Huang 001; Yong-Jin Liu 001 (AAAI, 2024)

ExpeL: LLM Agents Are Experiential Learners. - Andrew Zhao; Daniel Huang 007; Quentin Xu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (AAAI, 2024)

Exploring Text-to-Motion Generation with Human Preference. - Jenny Sheng; Matthieu Lin; Andrew Zhao; Kevin Pruvost; Yu-Hui Wen; Yangguang Li 001; Gao Huang 001; Yong-Jin Liu 001 (CVPR Workshops, 2024)

Generalizable Thermal-based Depth Estimation via Pre-trained Visual Foundation Model. - Ruoyu Fan; Wang Zhao 001; Matthieu Lin; Qi Wang 079; Yong-Jin Liu 001; Wenping Wang 001 (ICRA, 2024)

Text-image conditioned diffusion for consistent text-to-3D generation. - Yuze He; Yushi Bai; Matthieu Lin; Jenny Sheng; Yubin Hu 001; Qi Wang 079; Yu-Hui Wen; Yong-Jin Liu 001 (Comput. Aided Geom. Des., 2024)

DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. - Andrew Zhao; Quentin Xu; Matthieu Lin; Shenzhi Wang; Yong-Jin Liu 001; Zilong Zheng; Gao Huang 001 (CoRR, 2024)

LLM-based Optimization of Compound AI Systems: A Survey. - Matthieu Lin; Jenny Sheng; Andrew Zhao; Shenzhi Wang; Yang Yue; Yiran Wu; Huan Liu; Jun Liu; Gao Huang 001; Yong-Jin Liu 001 (CoRR, 2024)

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction. - Qintong Zhang; Victor Shea-Jay Huang; Bin Wang; Junyuan Zhang; Zhengren Wang; Hao Liang; Shawn Wang; Matthieu Lin; Conghui He; Wentao Zhang (CoRR, 2024)

SD-FSOD: Self-Distillation Paradigm via Distribution Calibration for Few-Shot Object Detection. - Han Chen; Qi Wang 079; Kailin Xie; Liang Lei; Matthieu Gaetan Lin; Tian Lv; Yongjin Liu 001; Jiebo Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models. - Zhiyao Sun; Tian Lv; Sheng Ye; Matthieu Gaetan Lin; Jenny Sheng; Yu-Hui Wen; Minjing Yu; Yong-Jin Liu 001 (ACM Trans. Graph., 2024)

PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstruction. - Sheng Ye; Yuze He; Matthieu Lin; Jenny Sheng; Ruoyu Fan; Yiheng Han; Yubin Hu 001; Ran Yi; Yu-Hui Wen; Yong-Jin Liu 001; Wenping Wang 001 (ACM Trans. Graph., 2024)

DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints. - Andrew Zhao; Quentin Xu; Matthieu Lin; Shenzhi Wang; Yong-Jin Liu 001; Zilong Zheng; Gao Huang 001 (AAAI, 2025)

Self-Referencing Agents for Unsupervised Reinforcement Learning. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System. - Zhiyao Sun; Yu-Hui Wen; Matthieu Lin; Ho-Jui Fang; Sheng Ye; Tian Lv; Yong-Jin Liu 001 (CoRR, 2025)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data. - Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang 001 (CoRR, 2025)

PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose Estimation. - Yiheng Han; Irvin Haozhe Zhan; Long Zeng 001; Yu-Ping Wang 001; Ran Yi; Minjing Yu; Matthieu Gaetan Lin; Jenny Sheng; Yong-Jin Liu 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Indoor Scene Reconstruction With Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement. - Sheng Ye; Yubin Hu 001; Matthieu Lin; Yu-Hui Wen; Wang Zhao 001; Yong-Jin Liu 001; Wenping Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)