activity
20242026
most citedComicsPAP: understanding comic strips by picking the correct panel

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DL2026

Augmenting Italian Cultural Heritage with Virtual and Digital Technologies: the final outcomes of Project CHANGES' Spoke 4

Silvio Peroni, Gianluca Genovese, Roberto Balzani +107

CHANGES (Cultural Heritage Innovation for Next-Gen Sustainable Society) was a project coordinated by the CHANGES Foundation, bringing together complementary disciplines and experti…

cs.CV2025★ 2 cited

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…

cs.CV2025

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.…

cs.CV2024

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…

cs.CV2024

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,…

cs.CV2024

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…

cs.CV2024

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…