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Samuele Salti

Professore associato

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Didattica

Ultime tesi seguite dal docente

Tesi di Laurea

  • Creazione di un dataset per l'addestramento e la validazione di reti neurali per il completamento automatico di crani
  • Creazione di un dataset tramite smart glasses per l'addestramento di Neural Radiance Fields
  • Realizzazione di un'interfaccia web per la valutazione della coerenza tra forme 3D e descrizioni testuali

Tesi di Laurea Magistrale

  • A Comprehensive Benchmark of Efficient Text-Driven 3D Generative Models
  • Additive decomposition of one-dimensional signals using Transformers
  • Alignment of Implicit Neural Representations of 3D Shapes via Permutation Symmetries
  • An Experimental Study on Generalization in Deep Fake Image Detection
  • Automatic detection and classification of products on supermarket shelves
  • Ball tracking in Padel Videos using Convolutional Neural Networks
  • Canonical orientation and segmentation of CT scans of skulls via 3D neural networks
  • Consistent 6D pose estimation via geometry-guided object pose graph construction
  • Convolutional Neural Network Architectures for Template Matching
  • Corrosion prediction for the automotive industry
  • Deep Learning on Neural Radiance Fields
  • Deepfake recognition for robust face verification
  • Depth Estimation in Stereo Biomedical Images via Proxy-Supervised Deep Learning
  • Diffusion Inpainting with Parameter Efficient Learning for the Generation of Architectural Elements
  • Empowering Insurance Fraud Investigations: Image Tampering Detection Strategies and Tools
  • Enhancing a Text-Shape Coherence Metric by Leveraging Contrastive Losses and a Large-Scale Dataset
  • Exploiting and Benchmarking Hardware Acceleration for Computer Vision on Industrial Embedded Devices
  • Exploring robustness to viewpoint changes by creating a dataset of simulated dashcam videos
  • Generation of Microwave Images for Sensitive Applications with Diffusion Models
  • Generative Adversarial Networks for three-dimensional multi-channel virtual fluorescent staining
  • Instance Segmentation of Catheters in Chest X-ray Images
  • Learning Color Enhancement for Millions of Users
  • Mining techniques for self-supervised visual contrastive learning
  • Mitigating the effects of Severe Imbalance in Multi-class Semantic Segmentation
  • Multi-Grained Attention over Query-Scoring for Dialogue-to-Video Retrieval
  • Multi-Task Reconstruction Strategies for Unsupervised 3D Domain Adaptation
  • Neural Radiance Fields for Relighting and View Synthesis
  • Physically feasible Semantic Segmentation
  • Predicting human movement from neural multivariate time series with ResNet
  • Reducing Memorization in Latent Diffusion Models for 3D Medical Images Generation
  • SkinScan - Recognition of pigmented skin lesions with Vision Transformers and Bayesian Networks
  • Super Resolution of DeepFakes for Efficient Identity Swapping
  • Towards automatic photo book creation from uncurated photo collections

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