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General Detection-based Text Line Recognition
R. Baena, S. Kalleli, M. Aubry.
Conference: NeurIPS, 2024
Arxiv, Github, Project page
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On Transfer in Classification: How Well do Subsets of Classes Generalize?
R. Baena, L. Drumetz, V. Gripon
Conference: EUSIPCO, 2024
Arxiv
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Local Mixup: Interpolation of closest input signals to prevent manifold intrusion
R. Baena, L. Drumetz, V. Gripon
Journal Elsevier Signal Processing, 2024
Arxiv
,
Github
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Entropy based feature regularization to improve transferability of deep learning models
R. Baena, L. Drumetz, V. Gripon
Conference: ICASSP, 2023
Arxiv,
Github
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Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks
R. Baena, L. Drumetz, V. Gripon
Conference: EUSIPCO, 2021
Arxiv
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Teaching Assistant in Deep Leaning
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Course Supervisor: Mathieu Aubry
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Teaching Assistant in Machine Leaning (15 hrs)
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Course Supervisor: David Picard
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Teaching Assistant in Advanced Algorithmics
and Graph Theory with Python (32 hrs)
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Course Supervisor: Vincent Gripon
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Supervision of Master's students for research Projects (12 hrs)
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Course Supervisor: Vincent Gripon
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IEEE Transaction in Signal Processing (TSP)
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Years: 2022-2023
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Interpretable and Principled Historical Document Analysis
Invited Talk at LIRIS, Lyon
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29 October 2024
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ICDAR 2024 Competition on Handwriting Recognition of Historical Ciphers
Task 2A - Borg and Task 3B - Ramanacoil Cipher
R. Baena, S. Kalleli, M. Aubry
Text Recognition (HTR) in low resource scenarios is a challenging problem. This is particularly the case of historical encrypted manuscripts, so called ciphers. The cipher alphabets oftentimes include digits, Latin or Greek letters, Zodiac and alchemical signs combined with various diacritics, as well as invented symbols.
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