Displaying 147 resources
Pedestrian Detection
This lecture overviews Pedestrian Detection that has many applications in autonomous car vision and smart city applications.
Domain Adaptation
This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.
ECG Signal Analysis
This lecture overviews ECG Signal Analysis as well as other cardiology imaging methods that has many applications in cardiological disorder diagnosis and treatment. It covers the following topics in detail: Background nnowledge of ECG Signals.
Signal Sampling
This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis. It covers the following topics in detail: Discrete/Continuous Signals, Signal Sampling, Signal Reconstruction, Signal Quantization.
Privacy Protection, Ethics and Regulations for Autonomous Systems
This lecture overviews Privacy Protection, Ethics and Regulations for Autonomous Systems that has many applications in Autonomous cars and drones.
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.
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
Neural Image Compression
This lecture overviews Neural Image Compression that has many applications in image storage and communications.
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.
Discrete-time Signals and Systems
This lecture overviews discrete-time Signals and Systems topics. Discrete-time signals are presented: periodic signals, delta signal, unit step signal, exponential signal, trigonometric signals, complex exponential signal.
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.
State – Space Equations
This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.