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