2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
Enhancing Document VQA Models via Retrieval-Augmented Generation
Eric López, Artemis Llabrés, Ernest Valveny
Document Visual Question Answering (Document VQA) must cope with documents that span dozens of pages, yet leading systems still concatenate every page or rely on very large vision-…
CoSMo: A Multimodal Transformer for Page Stream Segmentation in Comic Books
Marc Serra Ortega, Emanuele Vivoli, Artemis Llabrés +1
This paper introduces CoSMo, a novel multimodal Transformer for Page Stream Segmentation (PSS) in comic books, a critical task for automated content understanding, as it is a neces…
ComicsPAP: understanding comic strips by picking the correct panel
Emanuele Vivoli, Artemis Llabrés, Mohamed Ali Souibgui +3
Large multimodal models (LMMs) have made impressive strides in image captioning, VQA, and video comprehension, yet they still struggle with the intricate temporal and spatial cues…
One missing piece in Vision and Language: A Survey on Comics Understanding
Emanuele Vivoli, Mohamed Ali Souibgui, Andrey Barsky +3
Vision-language models have recently evolved into versatile systems capable of high performance across a range of tasks, such as document understanding, visual question answering,…
Image-text matching for large-scale book collections
Artemis Llabrés, Arka Ujjal Dey, Dimosthenis Karatzas +1
We address the problem of detecting and mapping all books in a collection of images to entries in a given book catalogue. Instead of performing independent retrieval for each book…