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ORCIDMing Liu 0018
刘铭
Person information
- unicode name: 刘铭
- affiliation: Harbin Institute of Technolog, School of Computer Science and Technology, China
Other persons with the same name
- Ming Liu — disambiguation page
- Ming Liu 0001
![[0000-0002-4500-238X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4500-238X")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Robotics and Multi-perception Lab, Hong Kong (and 3 more) - Ming Liu 0002 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China (and 1 more)
- Ming Liu 0003 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Ming Liu 0004 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Ming Liu 0005 — North Carolina State University, Neuromuscular Rehabilitation Engineering Laboratory, Raleigh, NC, USA (and 2 more)
- Ming Liu 0006 — University of Florida, Gainesville, FL, USA
- Ming Liu 0007 — University of Technology, Connected Intelligence Centre, Sydney, Australia (and 2 more)
- Ming Liu 0008 — Tongji University, School of Economics and Management, Shanghai, China
- Ming Liu 0009 — University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, IL, USA (and 2 more)
- Ming Liu 0010 — Beijing Jiaotong University, Beijing Key Lab of Transportation Data Analysis and Mining, China (and 1 more)
- Ming Liu 0011 — Royal Institute of Technology, Stockholm, Sweden (and 1 more)
- Ming Liu 0012 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 2 more)
- Ming Liu 0013 — Princeton University, Department of Electrical Engineering, NJ, USA (and 1 more)
- Ming Liu 0014 — Harbin Institute of Technology, School of Astronautics, China (and 1 more)
- Ming Liu 0015 — Chinese Academy of Sciences, Institute of Semiconductors, State Key Laboratory on Integrated Optoelectronics, Beijing, China (and 2 more)
- Ming Liu 0017 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Ming Liu 0019 — Hohai University, College of Computer and Information, Laboratory of Array and Information Processing, Nanjing, China
- Ming Liu 0020 — Beihang University, School of Biological Science and Medical Engineering, MOE Key Laboratory for Biomechanics and Mechanobiology, Beijing, China
- Ming Liu 0021 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Ming Liu 0022 — Chinese Academy Sciences, Institute of Microelectronics, Beijing, China
- Ming Liu 0023 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong
- Ming Liu 0024 — Changchun University of Technology, Department of Applied Mathematics, Changchun, China
- Ming Liu 0025 — Shandong University of Science and Technology, Department of Electrical Engineering and Information Technology, Jinan, China
- Ming Liu 0026 — Xi'an Jiaotong University, State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China
- Ming Liu 0027 — University of Wisconsin at Madison, WI, USA (and 1 more)
- Ming Liu 0028 — Monash University, NCHA, Melbourne, Australia (and 2 more)
- Ming Liu 0029 — Beijing Institute of Technology, Yangtze Delta Region Academy, School of Opto-Electronics, School of Optics and Photonics, China
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Journal Articles
- 2025
[j6]Ming Liu, Jianan Pan, Zifei Yan, Wangmeng Zuo, Lei Zhang:
Adaptive network combination for single-image reflection removal: a domain generalization perspective. Frontiers Comput. Sci. 19(1): 191703 (2025)- 2024
- [j5]Hangyan Zhu, Shaohui Liu, Ming Liu, Zifei Yan, Wangmeng Zuo:
De2Net: Under-display camera image restoration with feature deconvolution and kernel decomposition. Comput. Vis. Image Underst. 244: 104028 (2024) - [j4]Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo:
Learning Diverse Tone Styles for Image Retouching. IEEE Trans. Image Process. 33: 310-321 (2024) - [j3]Zhiwei Tan, Fei Shi, Yi Zhou, Jingcheng Wang, Meng Wang, Yuanyuan Peng, Kai Xu, Ming Liu, Xinjian Chen:
A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images. IEEE Trans. Medical Imaging 43(1): 473-488 (2024) - 2023
- [j2]Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo:
Two-stage single image reflection removal with reflection-aware guidance. Appl. Intell. 53(16): 19433-19448 (2023) - [j1]Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang:
Survey on leveraging pre-trained generative adversarial networks for image editing and restoration. Sci. China Inf. Sci. 66(5) (2023)
Conference and Workshop Papers
- 2024
- [c18]Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops 2024: 6632-6640 - [c17]Hang Yao, Ming Liu, Zhicun Yin, Zifei Yan, Xiaopeng Hong, Wangmeng Zuo:
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection. ECCV (71) 2024: 1-17 - 2023
- [c16]Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography. CVPR 2023: 5744-5753 - [c15]Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng, Lei Zhang:
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution. CVPR 2023: 14082-14091 - [c14]Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. EMNLP (Findings) 2023: 5356-5368 - [c13]Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition. ICCV 2023: 12977-12986 - [c12]Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo:
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces. ICCV 2023: 12987-12998 - [c11]Jingcheng Xu, Zhuoshi Wang, Weifang Zhu, Yi Zhou, Yan Sun, Zhuang Li, Ming Liu, Wenhao Tan, Ling Xu, Xinjian Chen:
UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa. OMIA@MICCAI 2023: 52-61 - 2022
- [c10]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:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 2022: 3-26 - [c9]Chao Guo, Weifang Zhu, Meng Wang, Ming Liu, Zhongyue Chen, Xinjian Chen:
Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning. Medical Imaging: Image Processing 2022 - [c8]Zhilu Zhang, Rongjian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo:
Self-Supervised Image Restoration with Blurry and Noisy Pairs. NeurIPS 2022 - 2021
- [c7]Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo:
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision. ICCV 2021: 4328-4338 - 2020
- [c6]Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang:
Deep Adaptive Inference Networks for Single Image Super-Resolution. ECCV Workshops (4) 2020: 131-148 - [c5]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:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170 - [c4]Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo:
Unpaired Learning of Deep Image Denoising. ECCV (4) 2020: 352-368 - [c3]Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo:
Learning Flow-Based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision. ECCV (12) 2020: 558-574 - 2019
- [c2]Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. CVPR 2019: 3673-3682 - 2018
- [c1]Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang:
Learning Warped Guidance for Blind Face Restoration. ECCV (13) 2018: 278-296
Informal and Other Publications
- 2024
- [i22]Xiaoyu Liu, Yuxiang Wei, Ming Liu, Xianhui Lin, Peiran Ren, Xuansong Xie, Wangmeng Zuo:
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions. CoRR abs/2404.06451 (2024) - [i21]Zixian Guo, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization. CoRR abs/2405.19732 (2024) - [i20]Hang Yao, Ming Liu, Haolin Wang, Zhicun Yin, Zifei Yan, Xiaopeng Hong, Wangmeng Zuo:
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection. CoRR abs/2406.07487 (2024) - 2023
- [i19]Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng, Lei Zhang:
Human Guided Ground-truth Generation for Realistic Image Super-resolution. CoRR abs/2303.13069 (2023) - [i18]Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo:
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces. CoRR abs/2309.08113 (2023) - [i17]Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition. CoRR abs/2309.12042 (2023) - [i16]Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, Wangmeng Zuo:
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection. CoRR abs/2310.19070 (2023) - [i15]Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. CoRR abs/2312.15901 (2023) - 2022
- [i14]Ming Liu, Jianan Pan, Zifei Yan, Wangmeng Zuo, Lei Zhang:
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective. CoRR abs/2204.01505 (2022) - [i13]Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo:
Learning Diverse Tone Styles for Image Retouching. CoRR abs/2207.05430 (2022) - [i12]Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang:
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration. CoRR abs/2207.10309 (2022) - [i11]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:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR abs/2210.11153 (2022) - [i10]Zhilu Zhang, Rongjian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo:
Self-Supervised Image Restoration with Blurry and Noisy Pairs. CoRR abs/2211.07317 (2022) - 2021
- [i9]Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo:
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision. CoRR abs/2108.08119 (2021) - 2020
- [i8]Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang:
Deep Adaptive Inference Networks for Single Image Super-Resolution. CoRR abs/2004.03915 (2020) - [i7]Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo:
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision. CoRR abs/2008.06843 (2020) - [i6]Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo:
Unpaired Learning of Deep Image Denoising. CoRR abs/2008.13711 (2020) - [i5]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:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020) - [i4]Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo:
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance. CoRR abs/2012.00945 (2020) - 2019
- [i3]Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. CoRR abs/1904.09709 (2019) - 2018
- [i2]Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang:
Learning Warped Guidance for Blind Face Restoration. CoRR abs/1804.04829 (2018) - [i1]Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang:
Learning Symmetry Consistent Deep CNNs for Face Completion. CoRR abs/1812.07741 (2018)
Coauthor Index
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