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Tipologia Anno Titolo Titolo inglese Autore File
Lauree triennali 2023 Colorista Artificiale: Una Pipeline di Fine-Tuning su Modelli Linguistico-Visivi per il Riconoscimento degli Attributi Cromatici Object Recoloring Using Pre-processing Techniques for the Generation of Synthetic Datasets PASQUALOTTO, LORENZO
Lauree magistrali 2020 Comparing Multi Object-Goal Navigation Models Comparing Multi Object-Goal Navigation Models GREGGIO, GIACOMO
Lauree magistrali 2021 Computer vision models for multi-object visual tracking: evaluations and real-world applications Computer vision models for multi-object visual tracking: evaluations and real-world applications NICOLAI, ANDREA
Lauree magistrali 2021 Computer Vision per la stima automatizzata della distanza nelle interazioni genitore-figlio Computer Vision for automated distance estimation in parent-child interactions BIOLCATI RINALDI, IGOR
Lauree magistrali 2024 Confronto delle tecniche di data augmentation applicate al rilevamento dei polipi in colonscopia Comparison of data augmentation techniques applied to polyp detection in colonoscopy FORNASIERO, CECILIA
Lauree triennali 2023 Data visualization e infografiche: studio e applicazione attraverso la libreria D3.js Data visualization and infographics: study and application using the D3.js library CARRETTA, JESSICA
Lauree triennali 2022 Deep Learning Techniques applied to Clothing Image Synthesis and Fashion Styling Deep Learning Techniques applied to Clothing Image Synthesis and Fashion Styling TRINCA, NICOLO'
Lauree magistrali 2024 Design of a Tailored Edge AI System for Automated Box Counting in Real-Time Palletization Design of a Tailored Edge AI System for Automated Box Counting in Real-Time Palletization MARINELLI, ANDREA
Lauree magistrali 2024 Design, Development and Analysis of Computer Vision Pipelines for Industrial Safety and Multi-Robot Surveillance Design, Development and Analysis of Computer Vision Pipelines for Industrial Safety and Multi-Robot Surveillance BETTI, GIANMARCO
Lauree magistrali 2022 Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. CAPETTINI CROATTO, HILARIO GABRIEL
Lauree magistrali 2024 Development of a RAG-based LLM-Agent chatbot to support transformative adaptation planning for climate change Development of a RAG-based LLM-Agent chatbot to support transformative adaptation planning for climate change CHIARELLO, FEDERICO
Lauree magistrali 2023 Evaluation and comparison of layout-guided text-to-image diffusion models Evaluation and comparison of layout-guided text-to-image diffusion models VEZZARO, DAVIDE
Lauree magistrali 2021 Exploiting patches spatial relations in self-supervised models for vision tasks Exploiting patches spatial relations in self-supervised models for vision tasks MELISSARI, LUCA
Lauree magistrali 2023 Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond FURLAN, MARCO
Lauree magistrali 2023 Exploring the Role of Spatial Relations in Visual Grounding: A Novel Benchmark and Synthetic Pretraining Exploring the Role of Spatial Relations in Visual Grounding: A Novel Benchmark and Synthetic Pretraining RESTA, ALESSANDRO
Lauree magistrali 2022 Exploring Untrained Zero-Shot Visual Grounding: Proposal Generation and Unsupervised Alignment Techniques Exploring Untrained Zero-Shot Visual Grounding: Proposal Generation and Unsupervised Alignment Techniques BUTTAU, SARA
Lauree magistrali 2022 Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks ZILIOTTO, FILIPPO
Lauree triennali 2024 Fault Prevention: modelli predittivi e prescrittivi per la manutenzione industriale Fault Prevention: predictive and prescriptive models for industrial maintenance FERRARO, SARA
Lauree magistrali 2023 From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories WICAKSONO, SATRIA BAGUS
Lauree magistrali 2022 Gated Linear Networks for Continual Learning in a Class-Incremental with Repetition Scenario Gated Linear Networks for Continual Learning in a Class-Incremental with Repetition Scenario MEDICI, FEDERICO
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