Ming Liu

According to our database, Ming Liu authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images.

Zhiwei Tan, Fei Shi, Yi Zhou, Jingcheng Wang, Meng Wang, Yuanyuan Peng, Kai Xu, Ming Liu, Xinjian Chen

IEEE Trans. Medical Imaging, January, 2024

Learning Diverse Tone Styles for Image Retouching.

Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo

IEEE Trans. Image Process., 2024

De2Net: Under-display camera image restoration with feature deconvolution and kernel decomposition.

Hangyan Zhu, Shaohui Liu, Ming Liu, Zifei Yan, Wangmeng Zuo

Comput. Vis. Image Underst., 2024

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection.

Hang Yao, Ming Liu, Haolin Wang, Zhicun Yin, Zifei Yan, Xiaopeng Hong, Wangmeng Zuo

CoRR, 2024

Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization.

Zixian Guo, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

CoRR, 2024

SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions.

Xiaoyu Liu, Yuxiang Wei, Ming Liu, Xianhui Lin, Peiran Ren, Xuansong Xie, Wangmeng Zuo

CoRR, 2024

2023

Two-stage single image reflection removal with reflection-aware guidance.

Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo

Appl. Intell., August, 2023

Survey on leveraging pre-trained generative adversarial networks for image editing and restoration.

Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang

Sci. China Inf. Sci., May, 2023

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.

Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, Wangmeng Zuo

CoRR, 2023

UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa.

Jingcheng Xu, Zhuoshi Wang, Weifang Zhu, Yi Zhou, Yan Sun, Zhuang Li, Ming Liu, Wenhao Tan, Ling Xu, Xinjian Chen

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces.

Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo

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

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition.

Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo

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

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation.

Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Human Guided Ground-Truth Generation for Realistic Image Super-Resolution.

Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng, Lei Zhang

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

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography.

Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo

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

2022

Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective.

Ming Liu, Jianan Pan, Zifei Yan, Wangmeng Zuo, Lei Zhang

CoRR, 2022

Self-Supervised Image Restoration with Blurry and Noisy Pairs.

Zhilu Zhang, Rongjian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning.

Chao Guo, Weifang Zhu, Meng Wang, Ming Liu, Zhongyue Chen, Xinjian Chen

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.

Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision.

Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

CoRR, 2020

Unpaired Learning of Deep Image Denoising.

Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Flow-Based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision.

Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Adaptive Inference Networks for Single Image Super-Resolution.

Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing.

Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Symmetry Consistent Deep CNNs for Face Completion.

Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang

CoRR, 2018

Learning Warped Guidance for Blind Face Restoration.

Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang

Proceedings of the Computer Vision - ECCV 2018, 2018