Sfoglia per Relatore
3D EgoPose Estimation: Leveraging Multi-View perspectives in the Egobody Dataset
2023/2024 RAZA, SYED RIAZ
A Hierarchical Time Series Forecasting Top-Down Approach for Improving Inventory Placement Demand Forecast
2023/2024 LIMONGELLI, MARCO ANDREA
A Practical Approach to Face Verification: An End-to-End Implementation
2023/2024 FILIPPINI, GIOVANNI
A study of the effectiveness and computational cost of computer vision models for outdoor segmentation
2022/2023 BARI, FRANCESCO
Action progress prediction in videos
2023/2024 PANIGHEL, CRISTIANO
Action Recognition in Low-Resolution Videos
2021/2022 DAMETTO, ALEX
Advancing Fall Detection with Machine Learning: A Review of Fall Risk Assessment Methods and Implementation on Wearable Devices
2022/2023 ZERRE, BILGE
Algoritmo per la ricerca e il riconoscimento automatico di etichette
2022/2023 VILLATORA, PIETRO
Applicazione di GPT nei servizi di marketing di un'azienda commerciale
2022/2023 BAGGIO, DAVIDE
Applying Machine Learning Techniques to forecast the level of dementia from spontaneous speech conversations
2021/2022 CHEUNG, HAU YEE
Battery State of Charge estimation using a Machine Learning approach
2020/2021 LUCCHETTA, BRYAN
Comparing Multi Object-Goal Navigation Models
2020/2021 GREGGIO, GIACOMO
Computer vision models for multi-object visual tracking: evaluations and real-world applications
2021/2022 NICOLAI, ANDREA
Computer Vision per la stima automatizzata della distanza nelle interazioni genitore-figlio
2021/2022 BIOLCATI RINALDI, IGOR
Data visualization e infografiche: studio e applicazione attraverso la libreria D3.js
2023/2024 CARRETTA, JESSICA
Deep Learning Techniques applied to Clothing Image Synthesis and Fashion Styling
2022/2023 TRINCA, NICOLO'
Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry.
2022/2023 CAPETTINI CROATTO, HILARIO GABRIEL
Exploiting patches spatial relations in self-supervised models for vision tasks
2021/2022 MELISSARI, LUCA
Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond
2023/2024 FURLAN, MARCO
Exploring Untrained Zero-Shot Visual Grounding: Proposal Generation and Unsupervised Alignment Techniques
2022/2023 BUTTAU, SARA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | 3D EgoPose Estimation: Leveraging Multi-View perspectives in the Egobody Dataset | 3D EgoPose Estimation: Leveraging Multi-View perspectives in the Egobody Dataset | RAZA, SYED RIAZ | |
| Lauree magistrali | 2023 | A Hierarchical Time Series Forecasting Top-Down Approach for Improving Inventory Placement Demand Forecast | A Hierarchical Time Series Forecasting Top-Down Approach for Improving Inventory Placement Demand Forecast | LIMONGELLI, MARCO ANDREA | |
| Lauree triennali | 2023 | A Practical Approach to Face Verification: An End-to-End Implementation | A Practical Approach to Face Verification: An End-to-End Implementation | FILIPPINI, GIOVANNI | |
| Lauree magistrali | 2022 | A study of the effectiveness and computational cost of computer vision models for outdoor segmentation | A study of the effectiveness and computational cost of computer vision models for outdoor segmentation | BARI, FRANCESCO | |
| Lauree magistrali | 2023 | Action progress prediction in videos | Action progress prediction in videos | PANIGHEL, CRISTIANO | |
| Lauree magistrali | 2021 | Action Recognition in Low-Resolution Videos | Action Recognition in Low-Resolution Videos | DAMETTO, ALEX | |
| Lauree magistrali | 2022 | Advancing Fall Detection with Machine Learning: A Review of Fall Risk Assessment Methods and Implementation on Wearable Devices | Advancing Fall Detection with Machine Learning: A Review of Fall Risk Assessment Methods and Implementation on Wearable Devices | ZERRE, BILGE | |
| Lauree triennali | 2022 | Algoritmo per la ricerca e il riconoscimento automatico di etichette | An algorithm for automatic label search and recognition | VILLATORA, PIETRO | |
| Lauree triennali | 2022 | Applicazione di GPT nei servizi di marketing di un'azienda commerciale | Application of GPT in marketing services of a commercial company | BAGGIO, DAVIDE | |
| Lauree magistrali | 2021 | Applying Machine Learning Techniques to forecast the level of dementia from spontaneous speech conversations | Applying Machine Learning Techniques to forecast the level of dementia from spontaneous speech conversations | CHEUNG, HAU YEE | |
| Lauree magistrali | 2020 | Battery State of Charge estimation using a Machine Learning approach | Battery State of Charge estimation using a Machine Learning approach | LUCCHETTA, BRYAN | |
| 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 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 | 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 | 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 | 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 |
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