Thesis Hall of Fame
Here you can find some particularly worthy theses, some of which have been then evolved into papers published at Workshops, Conferences and Journals.
Francesco Azzoni, Deep Monocular Autocalibration of Radially Symmetric Wide-Angle Cameras.
executive summary, slides, published at ECCV 2024.
Andrea Marelli, Temporal consistent CAMs for weakly supervised video segmentation in Waste Sorting.
executive summary, slides, published at the Industrial Vision Workshop hosted at ECCV 2024.
Carlo Sgaravatti, A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection.
thesis article, slides, published at the Industrial Vision Workshop hosted at ECCV 2024.
Olmo Michelangelo Notarianni, Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree.
executive summary, slides, published at the Advanced Analytics and Learning on Temporal Data Workshop at ECML 2024.
Fiore Amarù, Michele Alziati, Ensemble clustering via synchronized relabelling.
executive summary, slides, published at Pattern Recognition Letters, August 2024.
Matteo Farina, Quantum Multi-Model Fitting.
poster, published at CVPR 2023.
Andrea Porfiri Dal Cin, Synchronization of Group-labelled Multi-graphs.
slides, published at ICCV 2022.
Other theses to have a look at:
Alessandrini, Desc-V Desupervision in Camouflaged Videos.
executive summary, slides.
Romeo, Forcing latent space Disentanglement for enhanced model Explainability.
executive summary, slides.
Rios, Geometric Supervision for Efficient Reconstruction and Pose Refinement in Neural Radiance Fields.
executive summary slides.
Mariusz, SE3D: A Framework for Saliency Method Evaluation in 3D Medical Imaging.
executive summary, slides.
Musiari, Unsupervised Illegal Landfills Detection using Land Cover specic Autoencoders.
executive summary, slides.
Puddu, Enhanced Graph Reconstruction using Graph Neural Networks.
executive summary, slides.
Innocenti, Diffusion Models for Image Motion Blur Removal.
executive summary, slides.
Basla, Generative Data Augmentation for Instance Segmentation in Fluorescence Microscopy Images.
executive summary.
Rizzo, Enhancing QuantTree using kernel functions.
executive summary, slides.
Gusmeroli, Advanced Deep Learning Methods for Anomaly Detection in Point Clouds.
executive summary, slides.
Peretti, Enhancing CNN for Image Denoising by Promoting Non-Local Self-Similarity.
executive summary.
Diecidue, Detection of Critical Faults in Deep Neural Networks via auxiliary models.
slides.
Frittoli, Improving Horizontal Power-Analysis Attacks using Time Series Methods.
thesis.
Leveni, Non-planar Object Detection and Identification by Features Matching and Triangulation Growth.
thesis, slides.