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.

:star: Francesco Azzoni, Deep Monocular Autocalibration of Radially Symmetric Wide-Angle Cameras.
executive summary, slides, published at ECCV 2024.
:star: 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.
:star: 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.
:star: 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.
:star: Fiore Amarù, Michele Alziati, Ensemble clustering via synchronized relabelling.
executive summary, slides, published at Pattern Recognition Letters, August 2024.
:star: Matteo Farina, Quantum Multi-Model Fitting.
poster, published at CVPR 2023.
:star: Andrea Porfiri Dal Cin, Synchronization of Group-labelled Multi-graphs.
slides, published at ICCV 2022.

Other theses to have a look at:

:star: Alessandrini, Desc-V Desupervision in Camouflaged Videos.
executive summary, slides.
:star: Romeo, Forcing latent space Disentanglement for enhanced model Explainability.
executive summary, slides.
:star: Rios, Geometric Supervision for Efficient Reconstruction and Pose Refinement in Neural Radiance Fields.
executive summary slides.
:star: Mariusz, SE3D: A Framework for Saliency Method Evaluation in 3D Medical Imaging.
executive summary, slides.
:star: Musiari, Unsupervised Illegal Landfills Detection using Land Cover specic Autoencoders.
executive summary, slides.
:star: Puddu, Enhanced Graph Reconstruction using Graph Neural Networks.
executive summary, slides.
:star: Innocenti, Diffusion Models for Image Motion Blur Removal.
executive summary, slides.
:star: Basla, Generative Data Augmentation for Instance Segmentation in Fluorescence Microscopy Images.
executive summary.
:star: Rizzo, Enhancing QuantTree using kernel functions.
executive summary, slides.
:star: Gusmeroli, Advanced Deep Learning Methods for Anomaly Detection in Point Clouds.
executive summary, slides.
:star: Peretti, Enhancing CNN for Image Denoising by Promoting Non-Local Self-Similarity.
executive summary.
:star: Diecidue, Detection of Critical Faults in Deep Neural Networks via auxiliary models.
slides.
:star: Frittoli, Improving Horizontal Power-Analysis Attacks using Time Series Methods.
thesis.
:star: Leveni, Non-planar Object Detection and Identification by Features Matching and Triangulation Growth.
thesis, slides.