Junfan Lin

According to our database, Junfan Lin authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning image blind denoisers without explicit noise modeling.

Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi, Liang Lin

Multim. Tools Appl., July, 2023

Visual Tuning.

Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen

CoRR, 2023

Toward Human Perception-Centric Video Thumbnail Generation.

Tao Yang, Fan Wang, Junfan Lin, Zhongang Qi, Yang Wu, Jing Xu, Ying Shan, Changwen Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback.

Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training.

Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

OhMG: Zero-shot Open-vocabulary Human Motion Generation.

Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

CoRR, 2022

2021

Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation.

Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2021

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

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

2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020