3 citations · 5 across the 29 of their papers we have counts for
8 papers · 1 filter
ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains
Artemis Llabrés, Marc Serra Ortega, Tomàs Ockier +6
In this report we present results of the ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains. This competition aimed to advance research in document un…
Rethinking Expert Training for Model Merging with Prompt Learning
Christos Georgakilas, Aniello Panariello, Samir El Karrat Moreno +3
Model merging aims to combine multiple domain-specialized experts trained from a shared foundation model into a single multi-task model. Existing approaches largely focus on improv…
SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
Self-supervised learning (SSL) has achieved remarkable representation learning performance, but many existing methods rely on large batch sizes, memory banks, momentum encoders, or…
Learning Quantifiable Visual Explanations Without Ground-Truth
Amritpal Singh, Andrey Barsky, Mohamed Ali Souibgui +2
Explainable AI (XAI) techniques are increasingly important for the validation and responsible use of modern deep learning models, but are difficult to evaluate due to the lack of g…
TRIMMER: A New Paradigm for Video Summarization through Self-Supervised Reinforcement Learning
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
The rapid growth of video content across domains such as surveillance, education, and social media has made efficient content understanding increasingly critical. Video summarizati…
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…
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Łukasz Borchmann, Jordy Van Landeghem, Michał Turski +12
Multimodal agents offer a promising path to automating complex document-intensive workflows. Yet, a critical question remains: do these agents demonstrate genuine strategic reasoni…
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…