Javier Ródenas
PhD Student under the supervision of Prof. Petia Radeva working on Few-Shot Learning & Fine-Grained Learning
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javierrodenascumplido@gmail.com
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LinkedIn
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Research Gate
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Profile summary
Javier is Passionate about learning and technological challenges, He is a PhD student in artificial intelligence and Co-Founder & CTO at Baboon Technologies.
Latest publications
Javier Ródenas has 8 publications on Google Scholar.
Access Javier Ródenas Google Scholar Profile
Slot Attention-based Feature Filtering for Few-Shot Learning
2025 | Javier Ródenas, Eduardo Aguilar, Petia Radeva
Slot Attention-based Feature Filtering for Few-Shot Learning
2025 | Javier Ródenas Cumplido, Eduardo Aguilar, Petia Radeva
Stochastic-based Patch Filtering for Few-Shot Learning
2025 | Javier Ródenas Cumplido, Eduardo Aguilar, Petia Radeva
A bootstrap method based on linear regression to estimate COVID-19 Ecological Risk in Catalonia
2023 | Nicolas Ayala-Aldana, Antonio Monleon-Getino, Jaume Canela-Soler, Petia Radeva, Javier Rodenas
Learning Multi-Subset of Classes for Fine-Grained Food Recognition
2022 | Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva | Proceedings of the 7th International Workshop on Multimedia Assisted Dietary …, 2022
Attention Guided Image-to-Image translation of Food Images Using GANs
2020 | Mariya Mladenova, Petar Tonchev
Analyzing state-of-the-art CNN’s explainability focusing on food classification
2020 | Joan Bergadà Salsen
Quartet of Experts: Multi-Aspect Semantic Guidance for Few-Shot Learning
Javier Ródenas, Eduardo Aguilar, Petia Radeva
