most citedImage Segmentation via Divisive Normalization: dealing with environmental diversity

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Human-AI Perceptual Alignment by Playing Hues and Cues

Nuria Alabau-Bosque, Jorge Vila-Tomás, Paula Daudén-Oliver +3

Evaluating the perceptual alignment between Contrastive Vision-Language Models (CVLMs) and humans is typically constrained by traditional benchmarks that overlook fine-grained sema…

cs.CV2026

Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs

Nuria Alabau-Bosque, Jorge Vila-Tomas, Paula Dauden-Oliver +2

Convolutional Neural Networks (CNNs) are widely assumed to be translation-invariant, yet standard architectures exhibit a startling fragility: even a single-pixel shift can drastic…

cs.CV20261 cited

Image Segmentation via Divisive Normalization: dealing with environmental diversity

Pablo Hernández-Cámara, Jorge Vila-Tomás, Paula Dauden-Oliver +3

Autonomous driving is a challenging scenario for image segmentation due to the presence of uncontrolled environmental conditions and the eventually catastrophic consequences of fai…

cs.CV2025

Assessing invariance to affine transformations in image quality metrics

Nuria Alabau-Bosque, Paula Daudén-Oliver, Jorge Vila-Tomás +2

Subjective image quality metrics are usually evaluated according to the correlation with human opinion in databases with distortions that may appear in digital media. However, thes…

cs.CV2025

Hues and Cues: Human vs. CLIP

Nuria Alabau-Bosque, Jorge Vila-Tomás, Paula Daudén-Oliver +4

Playing games is inherently human, and a lot of games are created to challenge different human characteristics. However, these tasks are often left out when evaluating the human-li…