Computer Architecture Courses

CAP6412 Advanced Computer Vision - Spring 2025

Studies how vision-language and generative vision models can be evaluated and corrected for hallucinations, bias, and unsafe outputs.

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

CAP6412 Advanced Computer Vision - Spring 2024

Explore how vision-language models connect images and video with language through multimodal dialogue, visual grounding, hallucination evaluation, and open-set detection.

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

Computer Vision - Fall 2023

Moves from image filtering and hand-crafted features to neural networks for image classification, object detection, and segmentation.

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

Computer Vision - Fall 2022

Explore how computer vision turns digital images into detected objects and segmented scenes, from filtering and edge detection to convolutional neural networks.

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

CAP6412 Advanced Computer Vision - Spring 2023

Explore diffusion models for generating and editing images, with applications spanning image restoration, segmentation, detection, and video.

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

Advanced Computer Vision - Spring 2022

Explore how transformer architectures are reshaping computer vision, from image and video recognition to detection, synthesis, and language-guided visual models.

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

Computer Vision - Fall 2021

Builds from image filtering and features to neural network methods for classifying images, detecting objects, and segmenting scenes.

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

Advanced Computer Vision - Spring 2021

Research-paper lectures examine how adversarial examples expose neural-network weaknesses and how defenses seek to improve robustness.

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

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

A research lecture on token-based cross-view fusion and attention, with experimental accuracy results, limitations, and innovations.

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

Computer Vision Architecture Evolution: ConvNets to Transformers - Lecture 21

Explore how ConvNeXt modernizes ResNet with design ideas from Swin Transformers, including patchified stems, larger kernels, GELU, and revised normalization.

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

Computer Vision - Adversarial Attacks and Deepfool Algorithm - Lecture 1

Explore DeepFool, an adversarial attack method that linearizes classifiers to generate multiclass perturbations and examines its experimental limitations.

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

Object Detection in Computer Vision - Lecture 22

Explores object detection with R-CNN variants, including ROI pooling, region proposal networks, anchor boxes, and Faster R-CNN.

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

Object Detection in Computer Vision - Lecture 21

Learn how precision, recall, and mean average precision evaluate object detection, with formulas and a multitask network example.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Classification in Computer Vision - Part II - Lecture 19

Explores nonlinear SVMs and neural-network classifiers, including fully convolutional networks, activation functions, softmax, loss functions, and gradient-descent training.

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

Classification in Computer Vision - Lecture 18

Explores image classification through nearest-neighbor, linear, and maximum-margin classifiers, including testing and decision boundaries.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video