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Jiaying Qian

2 accepted papers

2026

Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment

AAAI 2026technical

Reinforcement fine-tuning (RFT) is a proliferating paradigm for LMM training. Analogous to high-level reasoning tasks, RFT is similarly applicable to low-level vision domains, including image quality assessment (IQA). Existing RFT-based IQA methods typically use rule-based output rewards to verify

Cited by 0SourcePDFScholar
2026

VITAL: Vision-Encoder-centered Pre-training for LMMs in Visual Quality Assessment

CVPR 2026

Developing a robust visual quality assessment (VQualA) large multi-modal model (LMM) requires achieving versatility, powerfulness, and transferability. However, existing VQualA LMMs typically focus on a single task and rely on full-parameter fine-tuning, which makes them prone to overfitting on spec

Cited by 0SourcecodeScholar