- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Multimodal Deep Learning for Wildfire Spread Prediction
The thesis aims at developing a Deep Learning model to predict wildfire spread using multimodal and multivariate data.
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Beyond the Canvas: A Systematic Review of Generative AI for Image Synthesis and Editing
Providing a comprehensive review of state-of-the-art image generative models, exploring architectural evolutions from GANs to Diffusion Models and hybrid systems, while analyzing evaluation paradigms and ethical challenges.
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Classifying Multimodal Post Content through Multimodal Large Language Models
This thesis involves specializing MLLMs for Multimodal Post Content Classification.
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A Modular Framework for Point Cloud Semantic Segmentation
A short description of the proposal.
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Re-engineering a Music-to-Painting Generative Web Application for Scalability and Maintainability
Refactoring a Web Application for generating paintings from music