Displaying 497 resources
Geometric deep learning
Unlock the world of Geometric Learning and Graph Convolutional Networks (GCNs) in this comprehensive course designed to empower you with cutting-edge knowledge and practical skills.
Continuous-time Signals and Systems
This lecture overviews continuous-time Signals and Systems topics. Continuous-time signals are presented: periodic signals, delta function, unit step signal, exponential signal, trigonometric signals, complex exponential signal.
Special topics in Object Detection
This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.
Image Perception
This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.
Autonomous Underwater Vessel Sensors
This lecture overviews Autonomous Underwater Vessel Perception that has many applications in Autonomous Underwater Vessel missions.
Robot Learning
The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.