3 citations · 5 across the 29 of their papers we have counts for
11 papers · 1 filter
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito +24
The Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition challenged the community to develop provably private and communication-efficient solutions in a fede…
ComiCap: A VLMs pipeline for dense captioning of Comic Panels
Emanuele Vivoli, Niccolò Biondi, Marco Bertini +1
The comic domain is rapidly advancing with the development of single- and multi-page analysis and synthesis models. Recent benchmarks and datasets have been introduced to support a…
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,…
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…
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…
Comics Datasets Framework: Mix of Comics datasets for detection benchmarking
Emanuele Vivoli, Irene Campaioli, Mariateresa Nardoni +3
Comics, as a medium, uniquely combine text and images in styles often distinct from real-world visuals. For the past three decades, computational research on comics has evolved fro…
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
Emanuele Vivoli, Marco Bertini, Dimosthenis Karatzas
The comic domain is rapidly advancing with the development of single-page analysis and synthesis models. However, evaluation metrics and datasets lag behind, often limited to small…
Federated Document Visual Question Answering: A Pilot Study
Khanh Nguyen, Dimosthenis Karatzas
An important handicap of document analysis research is that documents tend to be copyrighted or contain private information, which prohibits their open publication and the creation…
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…
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…
Multimodal Transformer for Comics Text-Cloze
Emanuele Vivoli, Joan Lafuente Baeza, Ernest Valveny Llobet +1
This work explores a closure task in comics, a medium where visual and textual elements are intricately intertwined. Specifically, Text-cloze refers to the task of selecting the co…