2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
Zitang Sun, Yen-Ju Chen, Yung-hao Yang +1
Visual motion processing is essential for humans to perceive and interact with dynamic environments. Despite extensive research in cognitive neuroscience, image-computable models t…
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh +1
We revisit the domain of off-policy policy optimization in RL from the perspective of coordinate ascent. One commonly-used approach is to leverage the off-policy policy gradient to…