Displaying 204 resources
Dimensionality Reduction
This lecture overviews Dimensionality Reduction that has many applications in object clusring and object recognition. It covers the following topics in detail: Feature selection. Principal Component Analysis. Linear Discriminant Analysis.
From Images to Text New forms of Human-AI Interaction
Recent progress in the Computer Vision and Natural Language Processing communities have made it possible to connect Vision and Language together in a variety of different tasks which lie at the intersection of Vision, Language, and Embodied AI.
Multilayer perceptron. Backpropagation
This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.
Autonomous Car Sensors
This lecture overviews Autonomous Car Sensors that has many applications in autonomous car perception.
Video Streaming
This lecture overviews Video Streaming that has many applications in videoconferencing, social media and TV webcasting.
Transform Video Compression
This lecture overviews Transform Video Compression that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.
Multiple Drone Media Production
This lecture overviews Multiple Drone Media Production that has many applications in drone cinematography.
Image-Based Rendering and View Synthesis
This lecture overviews Image-Based Rendering and View Synthesis that has many applications in computer graphics, data visualization, simulators, Virtual Environments and media production.
Recurrent Neural Networks. LSTMs
This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.
Digital Image Formation
This lecture overviews Image Formation, which is of primary importance in ensuring image quality and enabling image processing. It covers the following topics in detail: Light reflection models. Camera structure and models, e.g., Pinhole Camera.
Digital Painting Analysis and Conservation
This lecture overviews an important topic of Digital Humanities, namely digital painting analysis that has many applications in painting conservation and in the history of arts.
Deep Reinforcement Learning
This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.