1 citations · 1 across the 1 of their papers we have counts for
7 papers
Deep Image Segmentation via Discriminant Feature Learning
Adam Dawid Sztamborski, Raül Pérez-Gonzalo, Antonio Agudo
Accurate image segmentation remains challenging, particularly in generating sharp, confident boundaries. While modern architectures have advanced the field, many of them still rely…
Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling
Guillem Capellera, Antonio Rubio, Luis Ferraz +1
Multi-agent trajectory modeling traditionally focuses on forecasting, often neglecting more general tasks like trajectory completion, which is essential for real-world applications…
End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines
Raül Pérez-Gonzalo, Andreas Espersen, Søren Forchhammer +1
Transferring large volumes of high-resolution images during wind turbine inspections introduces a bottleneck in assessing and detecting severe defects. Efficient coding must preser…
Unsupervised Modular Adaptive Region Growing and RegionMix Classification for Wind Turbine Segmentation
Raül Pérez-Gonzalo, Riccardo Magro, Andreas Espersen +1
Reliable operation of wind turbines requires frequent inspections, as even minor surface damages can degrade aerodynamic performance, reduce energy output, and accelerate blade wea…
Synthetic Craquelure Generation for Unsupervised Painting Restoration
Jana Cuch-Guillén, Antonio Agudo, Raül Pérez-Gonzalo
Cultural heritage preservation increasingly demands non-invasive digital methods for painting restoration, yet identifying and restoring fine craquelure patterns from complex brush…
Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation
Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo
Linear discriminant analysis improves class separability but struggles with non-linearly separable data. To overcome this, we introduce Deep Discriminant Analysis (DDA), which dire…