Computer Architecture Courses

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

Edge Detection in Computer Vision - Lecture 3

Explore edge detection techniques in computer vision, including Marr-Hildreth and Canny methods. Learn about 2-D Gaussian filters, zero crossings, and hysteresis thresholding for improved image analysis.

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

Filtering in Computer Vision - Lecture 2

Learn about image filtering techniques, including noise reduction, edge detection, and smoothing. Explore applications in computer vision and gain hands-on experience with MATLAB functions for image processing.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Introduction to Computer Vision - Lecture 1

Explore fundamental concepts of computer vision, including image processing, object detection, and facial recognition. Learn about real-world applications in various fields.

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

Privacy and Bias in Computer Vision

Explore privacy challenges and bias issues in computer vision systems through expert insights from Dr. Mubarak Shah's comprehensive guest lecture.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

From Vision to Translation: Bridging Computer Vision and Natural Language Processing

Explore advanced computer vision techniques and their practical translation applications in this comprehensive academic presentation by Dr. Pegah Khosravi from CUNY.

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

Beyond 2D Pixels: Advanced Computer Vision and 3D Scene Understanding

Explore advanced computer vision techniques that transcend traditional 2D image processing with insights from Harvard University research.

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

CAP6412 Advanced Computer Vision - Spring 2025

Explore cutting-edge vision-language models, diffusion techniques, and safety evaluation methods for multimodal AI systems through advanced research papers and lectures.

• YouTube
• 14 hours 24 minutes
• Self-Paced
• Free Video

CAP6412 Advanced Computer Vision - Spring 2024

Master advanced computer vision through transformers, visual-language models like CLIP and BLIP, multimodal LLMs, and cutting-edge techniques for object detection and image captioning.

• YouTube
• 12 hours 15 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2023

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, features, classification, and segmentation techniques.

• YouTube
• 1 day 15 hours 29 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2022

Dive into computer vision fundamentals, from image filtering and edge detection to neural networks, CNNs, object detection, and segmentation using practical PyTorch implementations.

• YouTube
• 20 hours 53 minutes
• Self-Paced
• Free Video

CAP6412 Advanced Computer Vision - Spring 2023

Master cutting-edge generative AI techniques including diffusion models, DALL-E, CLIP, and Stable Diffusion for advanced computer vision applications and image synthesis.

• YouTube
• 13 hours 42 minutes
• Self-Paced
• Free Video

Advanced Computer Vision - Spring 2022

Dive into cutting-edge computer vision techniques including Vision Transformers, DETR object detection, video analysis, and self-supervised learning through 27 comprehensive lectures.

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

Computer Vision - Fall 2021

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 49 minutes
• Self-Paced
• Free Video

Advanced Computer Vision - Spring 2021

Dive into adversarial machine learning, explainable AI, and robust neural network architectures through cutting-edge research papers and advanced computer vision techniques.

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