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cs.CV2026
Learning to Decipher from Pixels: A Case Study of Copiale
Lei Kang, Giuseppe De Gregorio, Raphaela Heil +2
Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a…
cs.CV2024
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval
Giuseppe De Gregorio, Simon Perrin, Rodrigo C. G. Pena +2
The intersection of computer vision and machine learning has emerged as a promising avenue for advancing historical research, facilitating a more profound exploration of our past.…