ADR Awareness Centre

1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs).  As their computational complexity is of the order O(N^2), their fast execution is a must. This lecture will overview

This resource corresponds to 9th video from the AI Excellence Lecture Series. PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p

This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.

This lecture overviews Autonomous Systems Sensors  that has many applications in Autonomous robots, cars, vessels and drones.

The survey paper gives an introduction into manifold learning and how it is employed for important application fields (similarity search, image classification, synthesis & enhancement, video analysis, 3D data processing, nonlinear dimension reduc

This lecture overviews Pedestrian Detection  that has many applications in autonomous car vision and smart city applications.

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.

This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.

This lecture overviews Autonomous Car Sensors that has many applications in autonomous car perception.

This lecture overviews Video Streaming  that has many applications in videoconferencing, social media and TV webcasting.

This lecture overviews Transform Video Compression  that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.

This lecture overviews Multiple Drone Media Production that has many applications in drone cinematography.