Thesis Hall of Fame

  • Romeo, Forcing latent space Disentanglement for enhanced model Explainability. summary, ppt
  • Tenenti, Monitoring Performance Measures in Routed Optical Networks. summary, ppt
  • Rios,Geometric Supervision for Efficient Reconstruction and Pose Refinement in Neural Radiance Fields summary
  • Pollam, Quantized Reversible Layers for On-Device Neural Networks Training.summary, ppt
  • Mariusz,SE3D: A Framework for Saliency Method Evaluation in 3D Medi- cal Imaging. summary, ppt
  • Musinari, Unsupervised Illegal Landfills Detection using Land Cover specic Autoencoders. summary, ppt
  • Rossi, Federated Unsupervised Domain Adaptation for Human Activity Recognition. 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
  • Albergoni,
  • Craighero,
  • Salamino,
  • Stven Metaj,
  • Corsini,
  • Pecchia,
  • Gavarini,
  • Rutigliano,
  • Randazzo,
  • Floris,
  • Peretti, Enhancing CNN for Image Denoising by Promoting Non-Local Self-Similarity. summary, ppt
  • Giulivi,
  • Diecidue, Detection of Critical Faults in Deep Neural Networks via auxiliary models. ppt
  • Fumagalli,
  • Leveni, Non-planar Object Detection and Identification by Features Matching and Triangulation Growth. ppt
  • Frittoli,
  • Moioli,
  • Longoni