Displaying 283 resources

Fast 1D Convolution Algorithms

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
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Introduction to Computer Vision

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 world m
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Multiple Drone Communications

This lecture overviews various concepts related to multiple drone communications: LTE and WiFi communications, LTE communication infrastructure, IP network issues, Security analysis, throughput, latency and quality-of-service issues.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Kernel methods

This lecture overviews Kernel Methods that have many applications in classification and clustering. It covers the following topics in detail: Kernel Trick. Kernel Matrix. Kernel PCA. Kernel correlation and its use in object tracking. Kernel k-means.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Deep Semantic Image Segmentation

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Video Captioning

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Representation Learning for Natural Language Processing

Provides a comprehensive overview of the representation learning techniques for natural language processing. Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning. Shares insights into
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Neural SLAM

This lecture overviews Neural SLAM   that has many applications in robotic and autonomous vehicle localization and mapping.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Video Streaming

This lecture overviews Video Streaming  that has many applications in videoconferencing, social media and TV webcasting.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand