Thesis Hall of Fame

Page under construction

Here are 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.
    The work has been published and presented at ECCV 2024.

  • Andrea Marelli, Temporal consistent CAMs for weakly supervised video segmentation in Waste Sorting
    The work has been published and presented at the Industrial Vision Workshop hosted at ECCV 2024.

  • Carlo Sgaravatti, A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
    The work has been published and presented at the Industrial Vision Workshop hosted at ECCV 2024.

  • Olmo Michelangelo Notarianni, Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree
    The work has been published and presented at the Advanced Analytics and Learning on Temporal Data Workshop at ECML 2024

  • Fiore Amarù, Michele Alziati, Ensemble clustering via synchronized relabelling.
    The work has been published at Pattern Recognition Letters, August 2024

  • Matteo Farina, Quantum Multi-Model Fitting.
    The work has been published and presented as an highlights at CVPR 2023.

  • Andrea Porfiri Dal Cin, Synchronization of Group-labelled Multi-graphs.
    The work has been published and presented at ICCV 2022.

We are happy if you wanto to aim at a publication, but please keep also in mind, that:

It is good to have an end to journey toward; but it is the journey that matters, in the end. Hemingway

A thesis is successful if, regardless of publications, it makes you grow as a student, engineer, researcher, and, why not? human being.

Other theses to have a look at:

  • Romeo, Forcing latent space Disentanglement for enhanced model Explainability. summary, ppt
  • Rios,Geometric Supervision for Efficient Reconstruction and Pose Refinement in Neural Radiance Fields summary
  • Mariusz,SE3D: A Framework for Saliency Method Evaluation in 3D Medi- cal Imaging. summary, ppt
  • Musiari, Unsupervised Illegal Landfills Detection using Land Cover specic Autoencoders. summary, ppt
  • Puddu, Enhanced Graph Reconstruction using Graph Neural Networks. summary, ppt
  • Innocenti, Diffusion Models for Image Motion Blur Removal. summary, ppt
  • Basla, Generative Data Augmentation for Instance Segmentation in Fluorescence Microscopy Images. summary.
  • Rizzo, Enhancing QuantTree using kernel functions. summary, ppt
  • Gusmeroli, summary, ppt
  • Peretti, Enhancing CNN for Image Denoising by Promoting Non-Local Self-Similarity. summary
  • Diecidue, Detection of Critical Faults in Deep Neural Networks via auxiliary models. ppt
  • Leveni, Non-planar Object Detection and Identification by Features Matching and Triangulation Growth. ppt