Raül Pérez i Gonzalo
Contributor
Subline:
rperez (at) iri.upc.edu
As contributor
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National Project
Start Date: 07/04/2025
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National Project
Start Date: 01/09/2024
Publications
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R. Pérez, A. Espersen, S. Forchhammer and A. Agudo. End-to-end image compression with segmentation guided dual coding for wind turbines. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2026, to appear.
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J. Cuch, A. Agudo and R. Pérez. Synthetic craquelure generation for unsupervised painting restoration, 2026 IEEE International Conference on Artificial Intelligence, 2026, Granada, pp. 1437-1442.
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R. Pérez, A. Espersen and A. Agudo. Probabilistic deep discriminant analysis for wind blade segmentation, 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026, Barcelona, Spain, pp. 3991-3995.
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R. Pérez, A. Espersen and A. Agudo. Discriminant learning-based colorspace for blade segmentation, 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026, Barcelona, Spain, pp. 8572-8576.
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R. Pérez, R. Magro, A. Espersen and A. Agudo. Unsupervised modular adaptive region growing and regionMix classification for wind turbine segmentation, 2026 IEEE Winter Conference on Applications of Computer Vision, 2026, Tucson, pp. 3878-3888.
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S. Singhal, R. Pérez, A. Espersen and A. Agudo. Dual-space augmented intrinsic-LoRA for wind turbine segmentation, 2025 IEEE International Conference on Acoustics, Speech and Signal Processing, 2025, Hyderabad, India, pp. 1-5.
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R. Pérez, A. Espersen and A. Agudo. Generalized nested latent variable models for lossy coding applied to wind turbine scenarios, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 1947-1953.
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R. Pérez, A. Espersen and A. Agudo. Robust wind turbine blade segmentation from RGB images in the wild, 2023 IEEE International Conference on Image Processing, 2023, Kuala Lumpur, Malaysia, pp. 1025-1029.
Abstract
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