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20232026
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cs.CV2026

Reading in the Dark: Low-light Scene Text Recognition

Xuanshuo Fu, Lei Kang, Ernest Valveny +2

Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges…

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.CV2026

AVIR: Adaptive Visual In-Document Retrieval for Efficient Multi-Page Document Question Answering

Zongmin Li, Yachuan Li, Lei Kang +2

Multi-page Document Visual Question Answering (MP-DocVQA) remains challenging because long documents not only strain computational resources but also reduce the effectiveness of th…

cs.CV2024

Machine Unlearning for Document Classification

Lei Kang, Mohamed Ali Souibgui, Fei Yang +3

Document understanding models have recently demonstrated remarkable performance by leveraging extensive collections of user documents. However, since documents often contain large…

cs.CV2024

Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism

Lei Kang, Rubèn Tito, Ernest Valveny +1

Documents are 2-dimensional carriers of written communication, and as such their interpretation requires a multi-modal approach where textual and visual information are efficiently…

cs.CV2023

Privacy-Aware Document Visual Question Answering

Rubèn Tito, Khanh Nguyen, Marlon Tobaben +11

Document Visual Question Answering (DocVQA) has quickly grown into a central task of document understanding. But despite the fact that documents contain sensitive or copyrighted in…