ADR Awareness Centre

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.

There is an issue of domain shift in machine learning models, which occurs when models trained on one dataset perform poorly when tested on data from a different source.

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals

This lecture overviews Parameter estimation that has many applications in Statistics and Pattern Recognition.

The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented.

Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.

This lecture overviews Sonar Imaging that has many applications in autonomous marine vessels. It covers the following topics in detail: Hydro Acoustics, Sonar Hardware, Calibration, Noise reduction, Echograms, Post Processing.

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.

The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; st

This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide.

This lecture overviews Label Propagation that has many applications in pattern recognition (semi-supervised learning) and in the study of diffusion processes.