Research Group for Artificial Intelligence and Sparse Modelling - GAIM

Master thesis topics 2021-2022

Topics in AI and machine learning for computer vision

• Deep clustering networks for hyperspectral remote sensing images

• Deep reinforcement learning for paint loss detection

• Deep reinforcement learning: with applications to robotic control

• Demystifying convolutional neural networks using sparse coding

• Hyperspectral Image Classification by Using Capsule Networks

• Hyperspectral image classification using sparse representation techniques

• Learned Operators for Hand Graph Morphable Models

• Transfer learning using local image descriptors for single-cell electron microscopy

• Variational autoencoders for learning binary local image descriptors

• Sparse subspace clustering for large scale hyperspectral data

Topics in 3D graphics and digital image processing

• Quantum computing: with applications to image processing

• Quaternion sparse representation model for color image processing . Nederlandse versie: Quaternionisch schaars representatiemodel voor verwerking van kleurenafbeeldingen

• Learned Operators for Hand Graph Morphable Models

Topics in medical image analysis

• Transfer learning using local image descriptors for single-cell electron microscopy