11 papers
DPC-VQA: Decoupling Quality Perception and Residual Calibration for Video Quality Assessment
Xinyue Li, Shubo Xu, Zhichao Zhang +3
Recent multimodal large language models (MLLMs) have shown promising performance on video quality assessment (VQA) tasks. However, adapting them to new scenarios remains expensive…
ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images
Xinyue Li, Zhiming Xu, Min Tang +5
Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the perceptual quality ceiling and rendering previously collected labels unreliable fo…
LLMs Are Not a Silver Bullet: A Case Study on Software Fairness
Xinyue Li, Sixuan Li, Ying Xiao +4
Fairness is a critical requirement for human-related, high-stakes software systems, motivating extensive research on bias mitigation. Prior work has largely focused on tabular data…
FireRed-OCR Technical Report
Hao Wu, Haoran Lou, Xinyue Li +19
We present FireRed-OCR, a systematic framework to specialize general VLMs into high-performance OCR models. Large Vision-Language Models (VLMs) have demonstrated impressive general…
Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework
Xinyue Li, Zhichao Zhang, Zhiming Xu +4
Recent multimodal large language models (MLLMs) have demonstrated strong capabilities in image quality assessment (IQA) tasks. However, adapting such large-scale models is computat…
Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception
Sijing Wu, Yunhao Li, Zicheng Zhang +5
Recent advances in multimodal large language models (MLLMs) have demonstrated impressive performance on existing low-level vision benchmarks, which primarily focus on generic image…