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ORCIDTong Lu
Publications
- 2025
[j111]Tao Wang
, Kaihao Zhang, Yong Zhang, Wenhan Luo, Björn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu:
LLDiffusion: Learning degradation representations in diffusion models for low-light image enhancement. Pattern Recognit. 166: 111628 (2025)- [c186]Ziqian Shao, Tao Wang, Kaihao Zhang, Danhuai Zhao, Tong Lu:
LLFA: Fusing Global Illumination and Local Priors for Low-Light Face Image Enhancement with Adaptor. ICASSP 2025: 1-5 - [i80]Peiwen Xia, Tangfei Liao, Wei Zhu, Danhuai Zhao, Kejia Chen, Kaihao Zhang, Tong Lu, Tao Wang:
CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning. CoRR abs/2507.11834 (2025) - 2024
- [j100]Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Björn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li:
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions. Int. J. Comput. Vis. 132(10): 4541-4563 (2024) - [j98]Tao Wang, Guangpin Tao, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Xiaoqin Zhang, Tong Lu:
Restoring vision in hazy weather with hierarchical contrastive learning. Pattern Recognit. 145: 109956 (2024) - [i74]Tao Wang, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Tae-Kyun Kim, Tong Lu, Hongdong Li, Ming-Hsuan Yang:
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal. CoRR abs/2402.02374 (2024) - 2023
- [c167]Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu:
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. AAAI 2023: 2654-2662 - [c152]Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi:
Graph Propagation Transformer for Graph Representation Learning. IJCAI 2023: 3559-3567 - [i53]Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi:
Graph Propagation Transformer for Graph Representation Learning. CoRR abs/2305.11424 (2023) - [i51]Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Björn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li:
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions. CoRR abs/2305.17863 (2023) - [i46]Xuanxi Chen, Tao Wang, Ziqian Shao, Kaihao Zhang, Wenhan Luo, Tong Lu, Zikun Liu, Tae-Kyun Kim, Hongdong Li:
Deep Video Restoration for Under-Display Camera. CoRR abs/2309.04752 (2023) - 2022
- [c141]Minglei Yuan, Qian Xu, Chunhao Cai, Yin-Dong Zheng, Tao Wang, Tong Lu, Wenbin Li:
Uncertainty-Based Network for Few-Shot Image Classification. ICME 2022: 1-6 - [i40]Minglei Yuan, Qian Xu, Chunhao Cai, Yin-Dong Zheng, Tao Wang, Tong Lu:
Uncertainty-based Network for Few-shot Image Classification. CoRR abs/2205.08157 (2022) - [i35]Tao Wang, Kaihao Zhang, Xuanxi Chen, Wenhan Luo, Jiankang Deng, Tong Lu, Xiaochun Cao, Wei Liu, Hongdong Li, Stefanos Zafeiriou:
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal. CoRR abs/2211.02831 (2022) - [i30]Tao Wang, Guangpin Tao, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Xiaoqin Zhang, Tong Lu:
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning. CoRR abs/2212.11473 (2022) - [i29]Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu:
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. CoRR abs/2212.11548 (2022) - 2021
- [i21]Minglei Yuan, Wenhai Wang, Tao Wang, Chunhao Cai, Qian Xu, Tong Lu:
Learning Class-level Prototypes for Few-shot Learning. CoRR abs/2108.11072 (2021)
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