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Marco Bertini

7 papers hereh-index 7165 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.DL1
same name
  • Marco Bertini — 27 papers, h 39
  • Marco Bertini — 2 papers, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2024Show all

4 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.