Nicola Fanelli

I am a PhD student in Computer Science & Mathematics in the Department of Computer Science at the University of Bari Aldo Moro, where I work on computer vision and deep learning, under the supervision of Prof. Giovanna Castellano and Prof. Gennaro Vessio.

I am currently pursuing a PhD funded by a PhD fellowship within the framework of the Italian "D.M. n. 118/23" under the PNRR, Mission 4, Component 1, Investment 4.1 on the PhD project "Analysis and Valorization of Digitized Artistic Heritage using Artificial Intelligence techniques". I am currently working in the CILab lab.

In 2023, I obtained my Master's degree in Computer Science (AI curriculum) from the University of Bari Aldo Moro, with a focus on machine learning. During the Master's program, I completed numerous ML projects related to computer vision and NLP, culminating in my thesis on automatic artwork captioning. I also collaborated for four months with the National Research Council of Italy, where I extended my BSc thesis work on text complexity assessment with machine learning.

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News

October 2024:

Our work I Dream My Painting was accepted at WACV 2025 in Tucson, Arizona! ๐ŸŒต๐Ÿ‡บ๐Ÿ‡ธ

August 2024:

Our work Art2Mus was accepted at the AI4VA Workshop at ECCV 2024 in Milan! ๐Ÿ‡ฎ๐Ÿ‡น

July 2024:

Our work Converso was accepted at the LUHME Workshop at ECAI 2024 in Santiago de Compostela! ๐Ÿ‡ช๐Ÿ‡ธ

July 2024:

I attended DeepLearn 2024 in Porto, learning about the latest advancements in deep learning. ๐Ÿ‡ต๐Ÿ‡น

July 2024:

I attended ICVSS 2024 in Sicily, where I had the chance to meet and learn from some of the most prominent researchers in computer vision! ๐ŸŒž๐Ÿ‡ฎ๐Ÿ‡น

October 2023:

I started my PhD in Computer Science & Mathematics at the University of Bari Aldo Moro, where I will work on computer vision and deep learning! ๐Ÿ‘๏ธ๐Ÿค–

September 2023:

Our work on artwork captioning was accepted at the FAPER Workshop at ICIAP 2023 in Udine! ๐Ÿ‡ฎ๐Ÿ‡น

July 2023:

I defended my Masterโ€™s thesis in Deep Learning at the University of Bari Aldo Moro!

Research

I'm interested in computer vision, multimodal deep learning (particularly vision and language), and generative models (MLLMs and diffusion models), especially in the context of artwork analysis.

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Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation


Ivan Rinaldi, Nicola Fanelli, Giovanna Castellano, Gennaro Vessio
European Conference on Computer Vision (ECCV) Workshops, 2024
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We extend the AudioLDM2 architecture to generate music from artworks on a dataset of image-music pairings collected using ImageBind.

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Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts


Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano
ArXiv, 2024
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We present Label Anything, an innovative neural network architecture designed for few-shot semantic segmentation (FSS). Label Anything supports multi-class segmentation with points, boxes, or masks as prompts and relaxes multiple constraints in support set creation for FSS.

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Converso: Improving LLM Chatbot Interfaces and Task Execution via Conversational Forms


Gianfranco Demarco, Nicola Fanelli, Gennaro Vessio, Giovanna Castellano
European Conference on Artificial Intelligence (ECAI) Workshops, 2024
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We develop a fully-containerized architecture for creating LLM chatbots and improve their performances in data acquisition with conversational forms.

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Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study


Giovanna Castellano, Nicola Fanelli, Raffaele Scaringi, Gennaro Vessio
International Conference on Image Analysis and Processing (ICIAP) Workshops, 2023
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We explore caption generation for digitized artworks using a noisy dataset of LLM-generated descriptions. We introduce CLIPScore weighting to weigh the importance of each caption based on its quality to improve performances.





Design and source code from Jon Barron's website