Ming Liu

Orcid: 0000-0001-9136-8481

Affiliations:
  • Harbin Institute of Technolog, School of Computer Science and Technology, China


According to our database1, Ming Liu authored at least 30 papers between 2018 and 2025.

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Bibliography

2025
Adaptive network combination for single-image reflection removal: a domain generalization perspective.
Frontiers Comput. Sci., January, 2025

2024
A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images.
IEEE Trans. Medical Imaging, January, 2024

Learning Diverse Tone Styles for Image Retouching.
IEEE Trans. Image Process., 2024

De2Net: Under-display camera image restoration with feature deconvolution and kernel decomposition.
Comput. Vis. Image Underst., 2024

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection.
CoRR, 2024

Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization.
CoRR, 2024

SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions.
CoRR, 2024

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024


2023
Two-stage single image reflection removal with reflection-aware guidance.
Appl. Intell., August, 2023

Survey on leveraging pre-trained generative adversarial networks for image editing and restoration.
Sci. China Inf. Sci., May, 2023

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.
CoRR, 2023

UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Human Guided Ground-Truth Generation for Realistic Image Super-Resolution.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Image Restoration with Blurry and Noisy Pairs.
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.
Proceedings of the Medical Imaging 2022: Image Processing, 2022


2021
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR, 2020

Unpaired Learning of Deep Image Denoising.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Flow-Based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Adaptive Inference Networks for Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


2019
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning Symmetry Consistent Deep CNNs for Face Completion.
CoRR, 2018

Learning Warped Guidance for Blind Face Restoration.
Proceedings of the Computer Vision - ECCV 2018, 2018


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