David Serrano-Lozano — accepted AI-conference papers

2026

Bridging the Perception Gap in Image Super-Resolution Evaluation

Shaolin Su, Josep M. Rocafort, Danna Xue, David Serrano-Lozano, Lei Sun, Javier Vazquez-Corral

CVPR 2026

As super-resolution (SR) techniques advance, we observe a growing distrust of evaluation metrics in recent SR research. An inconsistency often emerges between certain evaluation criteria and human perceptual preference. Although current SR research employs varying metrics to evaluate SR performance,

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2025

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction

David Serrano-Lozano, Aditya Arora, Luis Herranz, Konstantinos G. Derpanis, Michael S. Brown, Javier Vazquez-Corral

ICCV 2025poster

White balance (WB) correction in scenes with multiple illuminants remains a persistent challenge in computer vision. Recent methods explored fusion-based approaches, where a neural network linearly blends multiple sRGB versions of an input image, each processed with predefined WB presets. However, w…

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