ADR Awareness Centre

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.

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

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

This resource corresponds to the 2nd video from the AI Excellence Lecture Series. Explore the evolution of machine learning in understanding and harnessing the concept of time.

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society.

This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees.

This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.

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

Medicine stands apart from other areas where machine learning can be applied.

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

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 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks .