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 59 papers between 2020 and 2024.

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Timeline

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Bibliography

2024
Q-Bench$^+$+: A Benchmark for Multi-Modal Foundation Models on Low-Level Vision From Single Images to Pairs.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

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

Blind Video Quality Prediction by Uncovering Human Video Perceptual Representation.
IEEE Trans. Image Process., 2024

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

R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?
CoRR, 2024

Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs.
CoRR, 2024

Explore the Hallucination on Low-level Perception for MLLMs.
CoRR, 2024

CMC-Bench: Towards a New Paradigm of Visual Signal Compression.
CoRR, 2024

A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
CoRR, 2024

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

Enhancing Blind Video Quality Assessment with Rich Quality-aware Features.
CoRR, 2024

Dual-Branch Network for Portrait Image Quality Assessment.
CoRR, 2024

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

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

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results.
CoRR, 2024

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

LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

G-Refine: A General Quality Refiner for Text-to-Image Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Q-Ground: Image Quality Grounding with Large Multi-modality Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

T2I-Scorer: Quantitative Evaluation on Text-to-Image Generation via Fine-Tuned Large Multi-Modal Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PAPS-OVQA: Projection-Aware Patch Sampling for Omnidirectional Video Quality Assessment.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Q-Boost: On Visual Quality Assessment Ability of Low-Level Multi-Modality Foundation Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Optimizing Projection-Based Point Cloud Quality Assessment with Human Preferred Viewpoints Selection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Open-Ended Visual Quality Comparison.
Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Image Quality Assessment Through Efficient Transformer Adaptation with Local Feature Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024



Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Exploring the Naturalness of AI-Generated Images.
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

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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