Haoning Wu

Orcid: 0000-0001-8642-8101

Affiliations:
  • Nanyang Technological University, S-Lab, School of Computer Science and Engineering, Singapore


According to our database1, Haoning Wu authored at least 38 papers between 2020 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
GMS-3DQA: Projection-Based Grid Mini-patch Sampling for 3D Model Quality Assessment.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment.
IEEE Trans. Image Process., 2024

Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance.
CoRR, 2024

G-Refine: A General Quality Refiner for Text-to-Image Generation.
CoRR, 2024

LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM.
CoRR, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
CoRR, 2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results.
CoRR, 2024

AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment.
CoRR, 2024

Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.
CoRR, 2024

MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model.
CoRR, 2024

Towards Open-ended Visual Quality Comparison.
CoRR, 2024

A Benchmark for Multi-modal Foundation Models on Low-level Vision: from Single Images to Pairs.
CoRR, 2024

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception.
CoRR, 2024

Towards A Better Metric for Text-to-Video Generation.
CoRR, 2024

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image.
CoRR, 2024

Iterative Token Evaluation and Refinement for Real-World Super-resolution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neighbourhood Representative Sampling for Efficient End-to-End Video Quality Assessment.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.
CoRR, 2023

Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models.
CoRR, 2023

Exploring the Naturalness of AI-Generated Images.
CoRR, 2023

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning.
CoRR, 2023

Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models.
CoRR, 2023

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.
CoRR, 2023

Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment.
CoRR, 2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge.
CoRR, 2023

Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation.
CoRR, 2023

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment.
CoRR, 2023

Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment.
CoRR, 2023

Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Opinion-Unaware Video Quality Assessment with Semantic Affinity Criterion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


2022
Disentangling Aesthetic and Technical Effects for Video Quality Assessment of User Generated Content.
CoRR, 2022

Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020



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