Author

Shashank Gupta

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Preprint Sep 2026

High-Fidelity Video Quality Assessment with VQA-Specific Saliency

No-reference video quality assessment (NR VQA) has recently seen promising progress with deep learning. However, video data is inherently large, and processing them with deep models incurs high computational cost. This challenge is particularly acute in VQA, where preserving original-resolution cues and dense temporal...

H. Gedik, Shashank Gupta, Alan C. Bovik · 0 citations

Preprint Aug 2026

Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency

ReLIQS is a CLIP-based multiscale patch-driven architecture that is resolution-agnostic, preserves original-resolution quality cues, learns from multiple subjective studies, and remains computationally efficient and budget-adaptive.

H. Gedik, Shashank Gupta, Alan C. Bovik · 0 citations