20 citations · 24 across the 13 of their papers we have counts for
6 papers · 1 filter
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…