Lanqing Guo

According to our database, Lanqing Guo authored at least 27 papers between 2018 and 2024.

Collaborative distances:

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

2024

Cross-Image Disentanglement for Low-Light Enhancement in Real World.

Lanqing Guo, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks.

Chong Wang, Yi Yu, Lanqing Guo, Bihan Wen

CoRR, 2024

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.

Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen

CoRR, 2024

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation.

Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen

CoRR, 2024

2023

SinSR: Diffusion-Based Image Super-Resolution in a Single Step.

Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen

CoRR, 2023

Beyond Learned Metadata-based Raw Image Reconstruction.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

CoRR, 2023

ShadowFormer: Global Context Helps Image Shadow Removal.

Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen

CoRR, 2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal.

Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frequency Guidance Matters in Few-Shot Learning.

Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Deep Digital Staining for Microscopic Cell Images via Knowledge Distillation.

Ziwang Xu, Lanqing Guo, Shuyan Zhang, Alex C. Kot, Bihan Wen

Proceedings of the IEEE International Conference on Acoustics, 2023

Raw Image Reconstruction with Learned Compact Metadata.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

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

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal.

Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen

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

sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model.

Zixuan Fu, Lanqing Guo, Bihan Wen

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

ShadowFormer: Global Context Helps Shadow Removal.

Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration.

Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen

IEEE Trans. Image Process., 2022

Enhancing Low-Light Images in Real World via Cross-Image Disentanglement.

Lanqing Guo, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen

CoRR, 2022

RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement.

Yuxin Lin, Jian Li, Lanqing Guo, Bihan Wen

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

2021

FINO: Flow-based Joint Image and Noise Model.

Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen

CoRR, 2021

Adversarial Purification through Representation Disentanglement.

Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen

CoRR, 2021

ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement.

Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Scale Feature Guided Low-Light Image Enhancement.

Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.

Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.

Lanqing Guo, Saiprasad Ravishankar, Bihan Wen

CoRR, 2020

2019

Robust Text Line Detection in Equipment Nameplate Images.

Jiangyu Lai, Lanqing Guo, Yu Qiao, Xiaolong Chen, Zhengfu Zhang, Canping Liu, Ying Li, Bin Fu

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

The Equipment Nameplate Dataset for Scene Text Detection and Recognition^∗.

Xiaolong Chen, Zhengfu Zhang, Yu Qiao, Pu Zhang, Lanqing Guo, Wenrui Chen, Chen Chen, Bin Fu

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018

Supporting Many-Objective Software Requirements Decision: An Exploratory Study on the Next Release Problem.

Jiangyi Geng, Shi Ying, Xiangyang Jia, Ting Zhang, Xuan Liu, Lanqing Guo, Jifeng Xuan

IEEE Access, 2018