Graph Neural Networks
This lecture overviews Graph Neural Networks that has many applications in Deep Learning, Signal and Video Analysis, Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Introduction to Graphs. Neural Networks. Graph Convolutional Networks (GCN). Recurrent Graph Neural Networks (RGNN). Graph Auto-Encoders. Spatial-Temporal Graph Neural Networks. GNN Applications.
Graph Signal Processing
This lecture overviews Graph Signal Processing that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Linear 1D convolution. Cyclic 1D convolution. Graph Basics. Graph Matrix Representations. Graph Fourier-like Basis. Graph Signals. Graph Signal Diffusion. Spatial Graph Convolution. Generalizing Convolutions to Graphs. Spectral Graph Convolution. Graph Filtering: Spatial domain, Spectral domain. Spatial – Spectral connection. Graph Signal Sampling. Graph Signals and Stationarity.
Algebraic Graph Analysis
This lecture overviews Algebraic Graph Analysis that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Graph Basics. Graph Matrix Representations. Graph-shift Operator (GSO). Eigen-decomposition of GSO. Graph Building Blocks. Community detection. Graph Clustering: Spatial domain, Spectral domain.
Immersion in Virtual Reality
This lecture overviews Immersion in Virtual Reality that has many applications in virtual presence and immersion. It covers the following topics in detail: Basic Concepts and Definitions. Presence (Prerequisites, Types, Measurements). Immersion (Requirements, Types, Measurement). VR Displays (Head-worn, Spatial, Hand-held). VR technologies Used. Applications: Immersive Videoconference, Immersive Learning Environments, Mixed-Reality Books, Immersive TV Entertainment.
3D Display Technologies
This lecture overviews 3D image and video displays that has many applications in stero vision, 3D cinema and 3D TV. It covers the following topics in detail: Human stereo vision, Color-encoded stereo display (anaglyph), Polarization-encoded stereo display, Time-multiplexed stereo display, Wavelength-multiplexed stereo display, Head-mounted displays, Free viewpoint 3D display (Autostereoscopy), Holographic displays, Lenticular displays and Volumetric image displays.
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. It covers the following topics in detail: Rendering with no geometry (Plenoptic function, Light field and Lumigraph, Concentric mosaic rendering, Panoramic mosaic rendering). Rendering with implicit geometry (View interpolation, View morphing, Transfer methods). Rendering with explicit geometry (3D warping, Layered Depth Images, View-dependent texture mapping, Surface rendering, Volume rendering). Learning-based view synthesis (Free View Synthesis, NERF).