3 citations · 3 across the 6 of their papers we have counts for
6 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…
A Dataset for the Recognition of Historical and Handwritten Music Scores in Western Notation
Pau Torras, Jiří Mayer, Carles Badal +7
A large amount of musical heritage has been digitised by memory institutions: libraries, museums, and archives. Nevertheless, the field of Optical Music Recognition (OMR) has strug…
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…
GAN-based Content-Conditioned Generation of Handwritten Musical Symbols
Gerard Asbert, Pau Torras, Lei Kang +2
The field of Optical Music Recognition (OMR) is currently hindered by the scarcity of real annotated data, particularly when dealing with handwritten historical musical scores. In…
Preserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition
Lei Kang, Xuanshuo Fu, Lluis Gomez +3
Handwritten Text Recognition (HTR) is crucial for document digitization, but handwritten data can contain user-identifiable features, like unique writing styles, posing privacy ris…