ADR Awareness Centre

In this lecture, first the audiovisual shooting mission is formally defined.

In this lecture focused on Transformers in the field of computer vision, the limitations of Convolutional Neural Networks (CNNs) are emphasized.

AUTH has created the "AUTH UAV Gesture Dataset" in the context of the “AERIAL-CORE” collaborative project, funded from the European Union's Horizon 2020 research and innovation programme.

This lecture overviews Mathematical Analysis  that has many applications in Computer Vision, Machine Learning and Autonomous Systems.

This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.

This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.

This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks.  It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).

Lecture by Prof. Lorentzo Carnevale. Uploaded by Aristotle University of Thessaloniki. Link to video

This lecture overviews Fast 3D Convolution algorithms that has many applications in the fast implementation of 3D image and video filtering, 3D CNNs and motion estimation.

This lecture overviews Adversarial Machine Learning that has many applications in DNN robustness and in privacy protection.

The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community.

This lecture overviews continuous-time Signals and Systems topics. Continuous-time signals are presented: periodic signals, delta function, unit step signal, exponential signal, trigonometric signals, complex exponential signal.