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20242026
most citedPreserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition

3 citations · 3 across the 5 of their papers we have counts for

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6 papers

cs.CV2026

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…

cs.CV2026

SIMI: Self-information Mining Network for Low-light Image Enhancement

Xuanshuo Fu, Lei Kang, Javier Vazquez-Corral

Poor lighting conditions significantly impact image quality, posing substantial challenges for image editing and visualization. Many existing enhancement methods aim at proposing c…

cs.CV2026

SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning

Cai Selvas-Sala, Lei Kang, Lluis Gomez

As multimodal models like CLIP become integral to downstream systems, the need to remove sensitive information is critical. However, machine unlearning for contrastively-trained en…

cs.CV2025

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…

cs.CV2025★ 3 cited

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…

cs.CV2024

GRIF-DM: Generation of Rich Impression Fonts using Diffusion Models

Lei Kang, Fei Yang, Kai Wang +5

Fonts are integral to creative endeavors, design processes, and artistic productions. The appropriate selection of a font can significantly enhance artwork and endow advertisements…