Fangyuan Mao

According to our database, Fangyuan Mao authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

PID: Physics-Informed Diffusion Model for Infrared Image Generation.

Fangyuan Mao, Jilin Mei, Shun Lu, Fuyang Liu, Liang Chen, Fangzhou Zhao, Yu Hu

Pattern Recognit., 2026

2025

Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks.

Chen Min, Jilin Mei, Heng Zhai, Shuai Wang, Tong Sun, Fanjie Kong, Haoyang Li, Fangyuan Mao, Fuyang Liu, Shuo Wang, Yiming Nie, Qi Zhu, Liang Xiao, Dawei Zhao, Yu Hu

CoRR, October, 2025

ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints.

Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

CoRR, October, 2025

UNIV: Unified Foundation Model for Infrared and Visible Modalities.

Fangyuan Mao, Shuo Wang, Jilin Mei, Chen Min, Shun Lu, Fuyang Liu, Yu Hu

CoRR, September, 2025

CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving.

Fuyang Liu, Jilin Mei, Fangyuan Mao, Chen Min, Yan Xing, Yu Hu

CoRR, August, 2025

S²-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models.

Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, August, 2025

Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation.

Fangyuan Mao, Aiming Hao, Jintao Chen, Dongxia Liu, Xiaokun Feng, Jiashu Zhu, Meiqi Wu, Chubin Chen, Jiahong Wu, Xiangxiang Chu

CoRR, August, 2025

2024

Autonomous Driving in Unstructured Environments: How Far Have We Come?

Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li

CoRR, 2024

2023

Disassembling Convolutional Segmentation Network.

Kaiwen Hu, Jing Gao, Fangyuan Mao, Xinhui Song, Lechao Cheng, Zunlei Feng, Mingli Song

Int. J. Comput. Vis., July, 2023