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- ArticleOctober 2024
Towards Open-Ended Visual Quality Comparison
- Haoning Wu,
- Hanwei Zhu,
- Zicheng Zhang,
- Erli Zhang,
- Chaofeng Chen,
- Liang Liao,
- Chunyi Li,
- Annan Wang,
- Wenxiu Sun,
- Qiong Yan,
- Xiaohong Liu,
- Guangtao Zhai,
- Shiqi Wang,
- Weisi Lin
AbstractComparative settings (e.g. pairwise choice, listwise ranking) have been adopted by a wide range of subjective studies for image quality assessment (IQA), as it inherently standardizes the evaluation criteria across different observers and offer ...
- research-articleAugust 2024
Q-Bench<inline-formula><tex-math notation="LaTeX">$^+$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mo>+</mml:mo></mml:msup></mml:math><inline-graphic xlink:href="zhang-ieq1-3445770.gif"/></alternatives></inline-formula>: A Benchmark for Multi-Modal Foundation Models on Low-Level Vision From Single Images to Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 46, Issue 12Pages 10404–10418https://doi.org/10.1109/TPAMI.2024.3445770The rapid development of Multi-modality Large Language Models (MLLMs) has navigated a paradigm shift in computer vision, moving towards versatile foundational models. However, evaluating MLLMs in <italic>low-level visual perception and understanding</...
- research-articleJanuary 2025
Q-ALIGN: teaching LMMs for visual scoring via discrete text-defined levels
- Haoning Wu,
- Zicheng Zhang,
- Weixia Zhang,
- Chaofeng Chen,
- Liang Liao,
- Chunyi Li,
- Yixuan Gao,
- Annan Wang,
- Erli Zhang,
- Wenxiu Sun,
- Qiong Yan,
- Xiongkuo Min,
- Guangtao Zhai,
- Weisi Lin
ICML'24: Proceedings of the 41st International Conference on Machine LearningArticle No.: 2216, Pages 54015–54029The explosion of visual content available online underscores the requirement for an accurate machine assessor to robustly evaluate scores across diverse types of visual contents. While recent studies have demonstrated the exceptional potentials of large ...
- research-articleOctober 2023
Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach
- Haoning Wu,
- Erli Zhang,
- Liang Liao,
- Chaofeng Chen,
- Jingwen Hou,
- Annan Wang,
- Wenxiu Sun,
- Qiong Yan,
- Weisi Lin
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 1045–1054https://doi.org/10.1145/3581783.3611737The proliferation of in-the-wild videos has greatly expanded the Video Quality Assessment (VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on in-the-wild videos is especially challenging as it could be affected ...
- ArticleDecember 2008
A JND Guided Foveation Video Coding
PCM '08: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information ProcessingPages 31–39https://doi.org/10.1007/978-3-540-89796-5_4This paper presents a novel just noticeable distortion (JND) guided foveation video coding method, by which the foveation region can be adaptively selected according to the video content. In the proposed method, two factors are taken into account: first, ...