20 citations · 24 across the 13 of their papers we have counts for
13 papers
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…
HoloMine: A Synthetic Dataset for Buried Landmines Recognition using Microwave Holographic Imaging
Emanuele Vivoli, Lorenzo Capineri, Marco Bertini
The detection and removal of landmines is a complex and risky task that requires advanced remote sensing techniques to reduce the risk for the professionals involved in this task.…
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…
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition
Soumitri Chattopadhyay, Sanket Biswas, Emanuele Vivoli +1
Although foundational vision-language models (VLMs) have proven to be very successful for various semantic discrimination tasks, they still struggle to perform faithfully for fine-…
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,…
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…
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…
Error assessment of microwave holography inversion for shallow buried objects
Emanuele Vivoli, Luca Bossi, Marco Bertini +2
Holographic imaging is a technique that uses microwave energy to create a three-dimensional image of an object or scene. This technology has potential applications in land mine det…
CTE: A Dataset for Contextualized Table Extraction
Andrea Gemelli, Emanuele Vivoli, Simone Marinai
Relevant information in documents is often summarized in tables, helping the reader to identify useful facts. Most benchmark datasets support either document layout analysis or tab…
MUST-VQA: MUltilingual Scene-text VQA
Emanuele Vivoli, Ali Furkan Biten, Andres Mafla +2
In this paper, we present a framework for Multilingual Scene Text Visual Question Answering that deals with new languages in a zero-shot fashion. Specifically, we consider the task…
Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
Andrea Gemelli, Emanuele Vivoli, Simone Marinai
Tables are widely used in several types of documents since they can bring important information in a structured way. In scientific papers, tables can sum up novel discoveries and s…