Postdoctoral Researcher
Pablo Hernández‑Cámara
I work at the intersection of computational neuroscience, human perception, and machine learning — studying how neural networks relate to the human visual system, and applying these insights to image quality, segmentation, and perceptual modeling.
Image Processing Lab, Universitat de València Dept. Ingeniería Electrónica, ETSE-UV Instituto BME · Datamecum
Research Interests
Computational Vision
Modeling perception with biologically-inspired neural architectures, including divisive normalization.
Image Quality
Perceptual image quality metrics and deep feature analysis for human-aligned quality assessment.
Psychophysics & AI
Artificial psychophysics to probe the perceptual properties of deep networks.
Human–AI Alignment
Measuring how well vision-language models like CLIP align with human perceptual representations.
Selected Recent Publications
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