UCF CRCV

"Advanced Machine Learning Techniques for Processing Complex Data" by Dr. Dixon Vimalajeewa

"A Tale of Two Worlds: The Variational Approach to Machine Learning" by Dr. Alex Alemi

"Interactive Decision Making in Multi-agent Intelligent Systems" by Dr. Chuanhao Li, U. of Virginia

Villegas Journey Talk

Using Hierarchies Of Skills To Achieve And Assess Automatic Multimodal Comprehension

From Saliency to Camouflage Analysis

Can We Trust AI? Towards Practical Implementation & Theoretical Analysis in Trustworthy ML

Adaptive and Efficient Deep Neural Networks for Edge Computing

Analysis of Fluorescently Labeled Contractile Subcellular Structures

Statistical and Spatial Consensus Collection for Detector Adaption

What is special about mining spatial and spatio-temporal datasets?

Learning mid-level image representations for visual recognition

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Lecture 12 - Analytic DPM

CAP5415 Lecture 24 [Image Segmentation - Part II] - Fall2021

CAP5415 Lecture 17 [Instance Segmentation] - Fall 2020

Lecture 8.11 - PyTorch Tutorial [Iterate over a Dataset of Inputs]

Mamshad Rizve - Annotation Efficient Visual Recognition: from Semi-Supervised to Few-Shot Learning

Lecture 15: Structure from Motion

Lecture 10 - DreamBooth

Lecture 5 - Diffusion Models

Mask R-CNN

Lecture 6.2: Introduction to Convolutional Neural Networks Fundamental Operation

Linux/Cluster Tutorial II (Brandon Silva)

Capsule Networks for Computer Vision – CVPR 2019 Tutorial (UCF)

CAP5415 Lecture 13 [Object Detection - Part 1] - Fall 2020

Lecture 05 - Scale-invariant Feature Transform (SIFT)

CAP5415 Lecture 17 [Autoencoder] - Fall2021

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Pixel Recurrent Neural Networks

Lecture 3.3: Image Filtering [Noise]

Lecture 21 - Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Lecture 8.1 - PyTorch Tutorial [PyTorch Tensor]

Lecture 4 - Diffusion Models

Lecture 5.2: Introduction to Neural Networks [Neural Network basics]

CVPR 2021 Tutorial: "Cross-View Geo-Localization: Ground-to-Aerial Image Matching"

Lecture 6.1: Introduction to Convolutional Neural Networks

Matlab Tutorial Video

Lecture 14.4: Image Segmentation [Clustering Based]

CAP5415 Lecture 6 [Edge Detection - Part I] - Fall2021

Lecture 06 - Optical Flow

Lecture 3.14 - Image Filtering [Median Filter and Kernel size used in Image Filtering]

Lecture 03 Edge Detection

Presentation - Covid-19 Chest X-Ray Classification

Linux/Cluster Tutorial I (Brandon Silva)

Lecture 14.2 - Image Segmentation [Image Binarization]

Lecture 4.9 - Edge Detection [Prewitt Edge Detector]

Lecture 11: Classification - I Q&A

Lecture 1.1 - Introduction to Computer Vision [Basics]

Enabling Natural Human Interaction in Immersive Virtual Environments

Lecture 9.3: Features [Histogram of Gradients] [HOG]

Lecture 06 - SIFT - 2014

Exploiting Convolutional Filter Patterns for Transfer Learning

Lecture 9.4: Features [SIFT]

Lecture 9.4: Features [SIFT Part 2]