Computer Architecture Courses

Introduction to Computer Vision - Lecture 1

Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Computer Vision - Administrative Introduction - Fall 2020

Introduction to computer vision course covering topics, grading, expectations, and projects. Provides essential administrative information for students to succeed in the class.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Capsule Networks for Computer Vision – CVPR 2019 Tutorial

Explore capsule networks for computer vision, covering architecture, challenges, applications, and advancements in this cutting-edge deep learning approach.

• YouTube
• 2 hours 41 minutes
• Self-Paced
• Free Video

Introduction to Capsule Networks for Computer Vision

Explore Capsule Networks for computer vision, covering sparse pattern recognition, viewpoint equivariance, object detection, and dynamic routing techniques.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Live Repetition Counting - CNN Architecture and System for Online Motion Detection

Learn techniques for real-time repetition counting in video, including CNN architecture, counter integration, and online mode counting for multiple detectors and regions of interest.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Filtering in Computer Vision - Lecture 2

Learn about image filtering techniques, including noise reduction, derivatives, convolution, and Gaussian filters. Explore practical applications in computer vision using MATLAB.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Interest Point Detection in Computer Vision - Lecture 4

Explore interest point detection techniques, including Harris Corner Detector and auto-correlation, with applications in computer vision and image processing.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Crowd Analysis and Detection Techniques for Computer Vision

Explore advanced techniques in computer vision for crowd analysis, including head detection, motion tracking, and prominent individual identification in complex scenes.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Integrating Close-Range 3D Computer Vision

Explore close-range 3D computer vision and synthetic aperture radar satellite remote sensing integration, covering image processing, point cloud analysis, and compressive sampling techniques.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Thesis Defense: Computing Features in Computer Vision for Event Detection

Explore advanced computer vision techniques for event detection, feature learning, and object recognition in this thesis defense presentation on hybrid learning approaches.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Stereo Vision and Depth Perception in Computer Vision - Lecture 16

Explore stereo vision techniques, including shape reconstruction, rectification, correspondence, and correlation methods for depth perception in computer vision applications.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Mean Shift Algorithm for Computer Vision - Lecture 11

Explore mean shift algorithm for computer vision, covering theory, implementation, and applications in tracking and segmentation. Learn from expert Dr. Mubarak Shah.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Global Motion in Computer Vision - Lecture 9

Explore global motion in computer vision, covering motion models, flow estimation, image warping, video mosaics, and projective transformations for advanced visual analysis techniques.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Motion Models in Computer Vision - Lecture 8

Learn about optical flow, rotation, image formation, and 3D rigid motion in computer vision. Explore displacement models and projective transformations using point correspondences.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Optical Flow in Computer Vision - Lecture 6

Learn about optical flow in computer vision, covering applications, optimization problems, Laplacians, and solutions, with practical examples and in-depth explanations.

• YouTube
• 52 minutes
• Self-Paced
• Free Video