ADR Awareness Centre

This lecture will overview 2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(N^2log2N).

This lecture overviews Neural Image Compression that has many applications in image storage and communications.

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.

This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.

This lecture overviews Deep Autoencoders that has many applications in image denoising, classification, generation and in object pose estimation.

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.