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AI4Media Workshop on GANs for Media Content Generation
Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research.
A comprehensive survey of geometric deep learning
The survey provides a comprehensive overview of deep learning methods for geometric data (point clouds, voxels, network graphs etc.). The relevant knowledge and theoretical background of geometric deep learning is presented first.
Dynastic Potential Crossover Operator
An optimal recombination operator for two-parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property).
Graph Signal Processing
This lecture overviews Graph Signal Processing that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Linear 1D convolution. Cyclic 1D convolution. Graph Basics.
Introduction to 2D Computer Vision
This lecture overviews digital images and 2D Computer Vision (image analysis).
Graph Neural Networks
This lecture overviews Graph Neural Networks that has many applications in Deep Learning, Signal and Video Analysis, Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Introduction to Graphs.