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Lanqing Guo (过岚清)
Lanqing Guo (过岚清)
Verified email at e.ntu.edu.sg
Title
Cited by
Cited by
Year
Rellie: Deep reinforcement learning for customized low-light image enhancement
R Zhang, L Guo, S Huang, B Wen
Proceedings of the 29th ACM international conference on multimedia, 2429-2437, 2021
302021
Shadowformer: Global context helps image shadow removal
L Guo, S Huang, D Liu, H Cheng, B Wen
arXiv preprint arXiv:2302.01650, 2023
122023
Shadowdiffusion: When degradation prior meets diffusion model for shadow removal
L Guo, C Wang, W Yang, S Huang, Y Wang, H Pfister, B Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Self-convolution: A highly-efficient operator for non-local image restoration
L Guo, Z Zha, S Ravishankar, B Wen
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
102021
Exploiting non-local priors via self-convolution for highly-efficient image restoration
L Guo, Z Zha, S Ravishankar, B Wen
IEEE Transactions on Image Processing 31, 1311-1324, 2022
72022
Fino: Flow-based joint image and noise model
L Guo, S Huang, H Liu, B Wen
arXiv preprint arXiv:2111.06031, 2021
72021
Multi-scale feature guided low-light image enhancement
L Guo, R Wan, GM Su, AC Kot, B Wen
2021 IEEE International Conference on Image Processing (ICIP), 554-558, 2021
72021
Raw image reconstruction with learned compact metadata
Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Enhancing low-light images in real world via cross-image disentanglement
L Guo, R Wan, W Yang, A Kot, B Wen
arXiv preprint arXiv:2201.03145, 2022
42022
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen
arXiv preprint arXiv:2307.07710, 2023
22023
RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement
Y Lin, J Li, L Guo, B Wen
2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022
12022
Adversarial purification through representation disentanglement
T Bai, J Zhao, L Guo, B Wen
arXiv preprint arXiv:2110.07801, 2021
12021
Exploiting the Illumination Knowledge in Real World for Low-Light Image Enhancement
L Guo, Y Lin, J Li, B Wen
IEEE MultiMedia, 2023
2023
Cross-Image Disentanglement for Low-Light Enhancement in Real World
L Guo, R Wan, W Yang, A Kot, B Wen
IEEE Transactions on Circuits and Systems for Video Technology, 2023
2023
ShadowFormer: global context helps shadow removal
L Guo, S Huang, D Liu, H Cheng, B Wen
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 710-718, 2023
2023
Beyond Learned Metadata-based Raw Image Reconstruction
Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen
arXiv preprint arXiv:2306.12058, 2023
2023
Unsupervised Deep Digital Staining for Microscopic Cell Images via Knowledge Distillation
Z Xu, L Guo, S Zhang, AC Kot, B Wen
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model
Z Fu, L Guo, B Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
Supplementary Material sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model
Z Fu, L Guo, B Wen
Supplementary Material ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
L Guo, C Wang, W Yang, S Huang, Y Wang, H Pfister, B Wen
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