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