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 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

2022
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective.
CoRR, 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

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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