Matthieu Lin

According to our database, Matthieu Lin authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Ran Yi, Yu-Hui Wen, Yong-Jin Liu, Wenping Wang

ACM Trans. Graph., December, 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

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, Yong-Jin Liu

CoRR, 2024

DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints.

Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang

CoRR, 2024

Text-image conditioned diffusion for consistent text-to-3D generation.

Yuze He, Yushi Bai, Matthieu Lin, Jenny Sheng, Yubin Hu, Qi Wang, Yu-Hui Wen, Yong-Jin Liu

Comput. Aided Geom. Des., 2024

Generalizable Thermal-based Depth Estimation via Pre-trained Visual Foundation Model.

Ruoyu Fan, Wang Zhao, Matthieu Lin, Qi Wang, Yong-Jin Liu, Wenping Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Exploring Text-to-Motion Generation with Human Preference.

Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ExpeL: LLM Agents Are Experiential Learners.

Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.

Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model.

Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.

Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang

CoRR, 2023

T³Bench: Benchmarking Current Progress in Text-to-3D Generation.

Yuze He, Yushi Bai, Matthieu Lin, Wang Zhao, Yubin Hu, Jenny Sheng, Ran Yi, Juanzi Li, Yong-Jin Liu

CoRR, 2023

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement.

Sheng Ye, Yubin Hu, Matthieu Lin, Yu-Hui Wen, Wang Zhao, Wenping Wang, Yong-Jin Liu

CoRR, 2023

2021

Feature Enhanced Projection Network for Zero-shot Semantic Segmentation.

Hongchao Lu, Longwei Fang, Matthieu Lin, Zhidong Deng

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

DETR for Pedestrian Detection.

Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng

CoRR, 2020