Research Group for Artificial Intelligence and Sparse Modelling - GAIM
Master thesis topics 2022-2023
Topics in AI and machine learning for computer vision
Deep clustering networks for hyperspectral remote sensing images
Sparse subspace clustering for large scale hyperspectral data
DAL-ART: Deep Active Learning Tool for Detecting Features of Interest in Images with Application to Digital Painting Analysis
Deep generative models for point clouds
Deep Face Recognition in Historical Portraits
Hyperspectral image classification using sparse representation techniques
Interpretable Deep Learning Models and Deep Unrolling
Neuro-Evolutionary Deep Reinforcement Learning for Robotic Control
Unsupervised analysis of microscopic images from metallurgical research via AI
Topics in 3D graphics and digital image processing
Quantum computing: with applications to image processing
Learned Operators for Hand GMM
Topics in medical image analysis
AI explainability with visual counterfactuals: Application to X-ray image analysis
Geometric Deep Learning Model for Detection of Knee Osteoarthritis
Transfer learning using local image descriptors for single-cell electron microscopy