Sfoglia per Relatore
Learning-based Low Light Image Denoising
2022/2023 ALNAJJAR, ESRAA M B
Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers
2022/2023 MARTIN TURRERO, CARMEN
Leveraging generative models for the optimization of 3D implicit representations
2023/2024 TOSO, SIMONE
Leveraging Multi-Modality in Self-Supervised Learning for Segmentation
2023/2024 GHORBANPOUR ARANI, MOHAMMADREZA
Light cancellation for hyperspectral material classification
2023/2024 ALOISI, AMERIGO
Live Birth Prediction and Optimizing Protocols in IVF/ICSI Treatments: A Machine Learning Approach
2023/2024 MAZAHERI KELAHRODI, MILAD
Machine learning approach for structural timber strength grading starting from the computed tomography of the log
2022/2023 MIGLIORANZA, PIETRO
Machine learning models for fine-grained detection and recognition of small objects
2022/2023 SIMIONATO, GIUSEPPE
Methods for automatic anomaly detection in tomographic images of food and wood products
2023/2024 TRINCANATO, MARCO
Metodi per la correzione di artefatti nella tomografia computerizzata per l'industria alimentare
2020/2021 RAVAZZOLO, STEFANO
Modelli deformabili della mano a partire da dati acquisiti tramite laser scanner
2011/2012 Marin, Giulio
Motion detection of objects for the implementation of a motion compensated tomographic device
2022/2023 ZANATTA, FILIPPO
Multimodal Domain Adaptation for Point Cloud Semantic Segmentation
2022/2023 NICOLETTI, GIANPIETRO
Multimodal Federated Learning In The Autonomous Driving Scenario
2023/2024 ALGUN, MUSTAFA
Non-Line-of-Sight Imaging from iToF data
2021/2022 CALIGIURI, MATTEO
Non-line-of-sight imaging from real indirect Time of Flight data
2023/2024 AHMADI, SEYYED ALI
Object Recognition in Dynamic environments for Billboard detection and Campaign validation
2022/2023 GRIMALDI, ALBERTO
Optimization of RGB-D fusion architectures based on deep learning for very sparse depth data
2020/2021 UGWU, CYNTHIA IFEYINWA
Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning
2020/2021 GUIDA, MATTEO
Predictor-based Neural Architecture Search under data distribution shift
2020/2021 CASARIN, SOFIA
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2022 | Learning-based Low Light Image Denoising | Learning-based Low Light Image Denoising | ALNAJJAR, ESRAA M B | |
Lauree magistrali | 2022 | Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers | Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers | MARTIN TURRERO, CARMEN | |
Lauree magistrali | 2023 | Leveraging generative models for the optimization of 3D implicit representations | Leveraging generative models for the optimization of 3D implicit representations | TOSO, SIMONE | |
Lauree magistrali | 2023 | Leveraging Multi-Modality in Self-Supervised Learning for Segmentation | Leveraging Multi-Modality in Self-Supervised Learning for Segmentation | GHORBANPOUR ARANI, MOHAMMADREZA | |
Lauree magistrali | 2023 | Light cancellation for hyperspectral material classification | Light cancellation for hyperspectral material classification | ALOISI, AMERIGO | |
Lauree magistrali | 2023 | Live Birth Prediction and Optimizing Protocols in IVF/ICSI Treatments: A Machine Learning Approach | Live Birth Prediction and Optimizing Protocols in IVF/ICSI Treatments: A Machine Learning Approach | MAZAHERI KELAHRODI, MILAD | |
Lauree magistrali | 2022 | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | MIGLIORANZA, PIETRO | |
Lauree magistrali | 2022 | Machine learning models for fine-grained detection and recognition of small objects | Machine learning models for fine-grained detection and recognition of small objects | SIMIONATO, GIUSEPPE | |
Lauree magistrali | 2023 | Methods for automatic anomaly detection in tomographic images of food and wood products | Methods for automatic anomaly detection in tomographic images of food and wood products | TRINCANATO, MARCO | |
Lauree magistrali | 2020 | Metodi per la correzione di artefatti nella tomografia computerizzata per l'industria alimentare | Methods for artifact correction in computed tomography for the food industry | RAVAZZOLO, STEFANO | |
Lauree triennali | 2011 | Modelli deformabili della mano a partire da dati acquisiti tramite laser scanner | - | Marin, Giulio | |
Lauree magistrali | 2022 | Motion detection of objects for the implementation of a motion compensated tomographic device | Motion detection of objects for the implementation of a motion compensated tomographic device | ZANATTA, FILIPPO | |
Lauree magistrali | 2022 | Multimodal Domain Adaptation for Point Cloud Semantic Segmentation | Multimodal Domain Adaptation for Point Cloud Semantic Segmentation | NICOLETTI, GIANPIETRO | |
Lauree magistrali | 2023 | Multimodal Federated Learning In The Autonomous Driving Scenario | Multimodal Federated Learning In The Autonomous Driving Scenario | ALGUN, MUSTAFA | |
Lauree magistrali | 2021 | Non-Line-of-Sight Imaging from iToF data | Non-Line-of-Sight Imaging from iToF data | CALIGIURI, MATTEO | |
Lauree magistrali | 2023 | Non-line-of-sight imaging from real indirect Time of Flight data | Non-line-of-sight-imaging from real indirect Time of Flight data | AHMADI, SEYYED ALI | |
Lauree magistrali | 2022 | Object Recognition in Dynamic environments for Billboard detection and Campaign validation | Object Recognition in Dynamic environments for Billboard detection and Campaign validation | GRIMALDI, ALBERTO | |
Lauree magistrali | 2020 | Optimization of RGB-D fusion architectures based on deep learning for very sparse depth data | Optimization of RGB-D fusion architectures based on deep learning for very sparse depth data | UGWU, CYNTHIA IFEYINWA | |
Lauree magistrali | 2020 | Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning | Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning | GUIDA, MATTEO | |
Lauree magistrali | 2020 | Predictor-based Neural Architecture Search under data distribution shift | Predictor-based Neural Architecture Search under data distribution shift | CASARIN, SOFIA |
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