2 citations · 6 across the 10 of their papers we have counts for
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HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment
Vaishnav Ramesh, Haining Wang, Md Jahidul Islam
Despite significant progress in no-reference image quality assessment (NR-IQA), dataset biases and reliance on subjective labels continue to hinder their generalization performance…
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment
Vaishnav Ramesh, Junliang Liu, Haining Wang +1
A long-held challenge in no-reference image quality assessment (NR-IQA) learning from human subjective perception is the lack of objective generalization to unseen natural distorti…
UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-Guided Feature Synthesis
Md Abu Bakr Siddique, Vaishnav Ramesh, Junliang Liu +2
The concept of waterbody style transfer remains largely unexplored in the underwater imaging and vision literature. Traditional image style transfer (STx) methods primarily focus o…
AquaFuse: Waterbody Fusion for Physics Guided View Synthesis of Underwater Scenes
Md Abu Bakr Siddique, Jiayi Wu, Ioannis Rekleitis +1
We introduce the idea of AquaFuse, a physics-based method for synthesizing waterbody properties in underwater imagery. We formulate a closed-form solution for waterbody fusion that…