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2020 – today
- 2024
[i6]Weizhi Zhong, Junfan Lin, Peixin Chen, Liang Lin, Guanbin Li:
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model. CoRR abs/2408.05416 (2024)- 2023
- [j3]Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi
, Liang Lin:
Learning image blind denoisers without explicit noise modeling. Multim. Tools Appl. 82(18): 27839-27859 (2023) - [j2]Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13363-13375 (2023) - [c4]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. CVPR 2023: 23222-23231 - [c3]Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. IJCAI 2023: 6058-6066 - [c2]Tao Yang, Fan Wang, Junfan Lin, Zhongang Qi, Yang Wu, Jing Xu, Ying Shan, Changwen Chen:
Toward Human Perception-Centric Video Thumbnail Generation. ACM Multimedia 2023: 6653-6664 - [i5]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:
Visual Tuning. CoRR abs/2305.06061 (2023) - [i4]Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. CoRR abs/2306.07553 (2023) - 2022
- [i3]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
OhMG: Zero-shot Open-vocabulary Human Motion Generation. CoRR abs/2210.15929 (2022) - 2021
- [j1]Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin:
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5379-5391 (2021) - [c1]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - 2020
- [i2]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i1]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020)
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