36 citations · 36 across the 5 of their papers we have counts for
5 papers
Unsupervised Domain Adaptation for Symbol Spotting in Historical Encrypted Manuscripts
Giuseppe De Gregorio, Alicia Fornés, Lei Kang +1
The decipherment of historical encrypted manuscripts poses a fundamental challenge in Digital Humanities: before any transcription can begin, the symbol inventory of the underlying…
Joint Transcription and Decryption of Images of Encrypted Handwritten Documents: A Comparison with the Traditional Pipeline
Marino Oliveros-Blanco, Lei Kang, Alicia Fornés +1
Historical encrypted manuscripts present a challenging problem at the intersection of cryptology, linguistics, paleography, and computer vision. Current automatic decipherment appr…
Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment
Micaella Bruton, Meriem Beloucif, Beáta Megyesi
Homophonic substitution ciphers replace each plaintext letter with one of several possible ciphertext codes, deliberately weakening letter-frequency patterns and making automated d…
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…
Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition
Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini +1
Handwritten text recognition in low resource scenarios, such as manuscripts with rare alphabets, is a challenging problem. The main difficulty comes from the very few annotated dat…