6 papers
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment
Yuan Li, Youyuan Lin, Zitang Sun +4
Blind image quality assessment (BIQA) is commonly built on two basic learning paradigms: regression and ranking. Regression calibrates absolute scores, whereas ranking recovers qua…
Understanding Pure Textual Reasoning for Blind Image Quality Assessment
Yuan Li, Shin'ya Nishida
Textual reasoning has recently been widely adopted in Blind Image Quality Assessment (BIQA). However, it remains unclear how textual information contributes to quality prediction a…
Guiding Perception-Reasoning Closer to Human in Blind Image Quality Assessment
Yuan Li, Yahan Yu, Youyuan Lin +3
Humans assess image quality through a perception-reasoning cascade, integrating sensory cues with implicit reasoning to form self-consistent judgments. In this work, we investigate…
Investigate the Low-level Visual Perception in Vision-Language based Image Quality Assessment
Yuan Li, Zitang Sun, Yen-Ju Chen +1
Recent advances in Image Quality Assessment (IQA) have leveraged Multi-modal Large Language Models (MLLMs) to generate descriptive explanations. However, despite their strong visua…
Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment
Yuan Li, Zitang Sun, Yen-ju Chen +1
Recent progress in BIQA has been driven by VLMs, whose semantic reasoning abilities suggest that they might extract visual features, generate descriptive text, and infer quality in…
Machine Learning Modeling for Multi-order Human Visual Motion Processing
Zitang Sun, Yen-Ju Chen, Yung-Hao Yang +2
Our research aims to develop machines that learn to perceive visual motion as do humans. While recent advances in computer vision (CV) have enabled DNN-based models to accurately e…