Matthieu Lin

According to our database, Matthieu Lin authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

CoRR, 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