Lingyu Zhu

Orcid: 0000-0001-7608-7913

Affiliations:
  • City University of Hong Kong, Department of ComputerScience, Hong Kong


According to our database1, Lingyu Zhu authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Temporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning.
Int. J. Comput. Vis., October, 2024

Gap-Closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement.
IEEE Trans. Multim., 2024

Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment.
IEEE Trans. Image Process., 2024

RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement.
CoRR, 2024

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare.
CoRR, 2024

Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Learning Spatiotemporal Interactions for User-Generated Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

2022
No-Reference Image Quality Assessment by Hallucinating Pristine Features.
IEEE Trans. Image Process., 2022

Enlightening Low-Light Images With Dynamic Guidance for Context Enrichment.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2022

From Distance to Dependency: A Paradigm Shift of Full-reference Image Quality Assessment.
CoRR, 2022

The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement.
CoRR, 2022

A Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality Assessment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
PUGCQ: A Large Scale Dataset for Quality Assessment of Professional User-Generated Content.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment.
CoRR, 2020


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