ADR Awareness Centre

This lecture overviews neural semantic 3D world modeling and mapping  that has many applications in 3D world mapping and in attaching semantics to the world maps It covers the following topics in detail: neural disparity/depth estimation and joint

A detailed introduction to computer vision will be made: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D worl

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

We study the power of cooperation in a network of communicating agents that solve a learning task. Agents use an underlying communication network to get information about what the other agents know.

Tropical geometry is a relatively recent field in mathematics and computer science combining elements of algebraic geometry and polyhedral geometry.

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

In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.

This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images come next. RGBD images and graphics texture images.

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

This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography.

This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography.

This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography.