This resource corresponds to 8th video from the AI Excellence Lecture Series. Delve into the cutting-edge world of intelligent aerial robotics. Discover how researchers and engineers are pushing the boundaries of efficiency and safety in drone technology. Explore the latest advancements in drone design, navigation algorithms, and obstacle avoidance systems that are paving the way… Continue reading Toward efficient and safe intelligent aerial robotics and aerial manipulation
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An Introduction to PAC-Bayesian Analysis
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 probability theory. It is used to analyse the generalisation performance of machine learning algorithms.
AI4Media Workshop on GANs for Media Content Generation
Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. Trained by exploiting the interplay between a generative and a discriminative deep neural network, GANs are able to implicitly model the data distribution, thus allowing us to generate realistic data samples after model training is complete. The Digital Media sector… Continue reading AI4Media Workshop on GANs for Media Content Generation
Generative Adversarial Networks in Multimedia Content Creation
Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos. This lecture provides an extensive overview of several Generative Adversarial Networks applications for media production, notably for image content generation (e.g., human facial and body images), automatic image restyling/translation/captioning,… Continue reading Generative Adversarial Networks in Multimedia Content Creation