Computer Architecture Courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Computer Vision - Fall 2020

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

• YouTube
• 1 day 4 hours 50 minutes
• On-Demand
• Free Video

Computer Vision

Master computer vision fundamentals from filtering and edge detection to SIFT, optical flow, camera calibration, and facial recognition through comprehensive lectures.

• YouTube
• 19 hours 7 minutes
• On-Demand
• Free Video

Computer Vision Video Lectures 2012

Master computer vision fundamentals through comprehensive lectures covering filtering, edge detection, SIFT, optical flow, face recognition, and stereo vision techniques.

• YouTube
• 19 hours 28 minutes
• On-Demand
• Free Video

CAP6412 - Advanced Computer Vision - Lecture 24: Project Presentations

Students present their projects, showcasing innovative approaches in computer vision and AI. Topics include object detection, video analysis, and visual question answering, highlighting challenges and novel solutions.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Computer Vision: Tokens and Cross-View Fusion - Lecture 22

Explore tokens, cross-view fusion, and attention in computer vision, examining experimental results and innovations in multi-view learning techniques.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Computer Vision Architecture Evolution: ConvNets to Transformers - Lecture 21

Explore the evolution of vision architectures, comparing SWIN and CNNs, and learn about modernizing ConvNets with macro and micro design changes for improved performance.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Computer Vision - Adversarial Attacks and Deepfool Algorithm - Lecture 1

Explore DeepFool algorithm for generating adversarial examples in deep neural networks, covering linearization, multiclass classification, and experimental results.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Object Detection in Computer Vision - Lecture 22

Explore advanced object detection techniques in computer vision, including R-CNN, Fast R-CNN, and Faster R-CNN. Learn about training processes, region proposals, and improvements in detection algorithms.

• YouTube
• 59 minutes
• On-Demand
• Free Video