Raül Pérez-Gonzalo

According to our database, Raül Pérez-Gonzalo authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep Image Segmentation via Discriminant Feature Learning.

Adam Dawid Sztamborski, Raül Pérez-Gonzalo, Antonio Agudo

CoRR, May, 2026

End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines.

Raül Pérez-Gonzalo, Andreas Espersen, Søren Forchhammer, Antonio Agudo

CoRR, March, 2026

Synthetic Craquelure Generation for Unsupervised Painting Restoration.

Jana Cuch-Guillén, Antonio Agudo, Raül Pérez-Gonzalo

CoRR, February, 2026

Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation.

Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo

CoRR, January, 2026

Discriminant Learning-based Colorspace for Blade Segmentation.

Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo

CoRR, January, 2026

Unsupervised Modular Adaptive Region Growing and RegionMix Classification for Wind Turbine Segmentation.

Raül Pérez-Gonzalo, Riccardo Magro, Andreas Espersen, Antonio Agudo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

End-to-end learning for wind turbine blades: from imagery data to defect repair recommendations.

Raül Pérez-Gonzalo

PhD thesis, 2025

Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation.

Shubh Singhal, Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Generalized Nested Latent Variable Models For Lossy Coding Applied To Wind Turbine Scenarios.

Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Robust Wind Turbine Blade Segmentation from RGB Images in the Wild.

Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo

Proceedings of the IEEE International Conference on Image Processing, 2023