University of Central Florida Courses

Human Activity Recognition - Learning with Less Labels and Privacy Preservation

Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudoleveling, contrastive learning, and zero-shot approaches.

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

Contextual Image Understanding and Scene Identification in Videos - Thesis Defense

Explore image understanding using context, focusing on scene identification and object detection in videos through innovative techniques like Top-Down Visual Tree representation and Random Walk incorporation.

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

Learning to Navigate in Cities Without a Map

Explore reinforcement learning techniques for autonomous navigation in unmapped urban environments, focusing on value functions, courier tasks, and multi-site experiments.

• YouTube
• 30 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

Instance Segmentation - Lecture 26

Explore instance segmentation in computer vision, covering Mask R-CNN, ROI pooling, and alignment techniques for precise object detection and pixel-level classification.

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

Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching

Explore relationships between ground and aerial views through synthesis and matching techniques, focusing on architecture, evaluation methods, and practical applications in image retrieval and GPS data.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Image Segmentation Basics and Techniques - Lecture 23

Explore image segmentation basics, including binarization, thresholding, and region-based techniques. Learn algorithms, visualization methods, and practical applications in computer vision.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Cross-View Geo-Localization - Ground-to-Aerial Image Matching

Explore cross-view geo-localization techniques, focusing on ground-to-aerial image matching. Learn about approaches, limitations, and advancements in this field of computer vision.

• YouTube
• 53 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

Object Detection in Computer Vision - Lecture 21

Explore advanced object detection techniques, including precision-recall metrics, mean average precision, and multitask networks for computer vision applications.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Object Detection Techniques - Part I - Lecture 20

Explore object detection techniques including sliding windows, pyramid construction, feature extraction, and post-processing. Learn about evaluation metrics like IoU, precision, and recall for assessing detection accuracy.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Classification in Computer Vision - Part II - Lecture 19

Explore advanced classification techniques in computer vision, including SVMs, neural networks, and fully convolutional networks. Learn about activation functions, loss functions, and optimization for effective model training.

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

Classification in Computer Vision - Lecture 18

Explore classification in computer vision, covering features, linear classification, nearest neighbor, decision boundaries, and maximum margin classifiers. Gain insights into fundamental algorithms and problem-solving approaches.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Features in Computer Vision - Lecture 14

Explore feature types, uses, and characteristics in computer vision, including matching, structure from motion, and panorama stitching. Learn about interest points and corner detection for keypoint applications.

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

Training Neural Networks - Part II - Lecture 11

Explore advanced neural network training techniques, including loss functions, learning rates, momentum, and strategies to prevent overfitting for improved computer vision model performance.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video