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🖐🏻 Handscribe: A Gloss-Free Framework for Sign Language Translation and Gloss Sequence Generation 🤌🏻

🖐🏻 Handscribe: A Gloss-Free Framework for Sign Language Translation and Gloss Sequence Generation 🤌🏻

Journal Paper 📰
February 2026
Emanuele Colonna and Ivan Rinaldi and David Landi and Gennaro Vessio and Giovanna Castellano
Sign language translation systems traditionally rely on intermediate gloss representations to bridge the gap between visual input and written language output. However, manual gloss annotation is costl...
Sign Language Translation, SlowFast Network, Large Language Models, Accessibility Technologies
🖼️ Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation 🎵

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

Conference Paper 📓
September 2024
Ivan Rinaldi and Nicola Fanelli and Giovanna Castellano and Gennaro Vessio
Artificial Intelligence has transformed music creation by using generative models that respond to textual or visual prompts. Current image-to-music models are limited to basic images, unable to handle...
Generative AI, Conditioned Music Generation, Multimodal Deep Learning
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations 🎥💿📚

Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations 🎥💿📚

Conference Paper 📓
October 2024
Alessandro Petruzzelli, Cataldo Musto, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops, and Giovanni Semeraro
We present a method for using large language models (LLMs) to provide explainable cross-domain recommendations despite data scarcity. It involves instructing an LLM, creating personalized prompts, and...
Recommender System, Cross Domain Recommendation, Large Language Models

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