Taking a look at "How do Deepfakes Move?"
I read an excellent paper this morning by Demir from Intel and
Catherine Ordun
Detecting Deep Fakes
I don't have to tell you that everything we see
Can Language Agents Play RPGs?
I'm getting back into it after a holiday break and
Lessons Learned as PhD Student
Before I defend, I wanted to share my Top 5 Lessons Learned as a PhD Student. If you're thinking about applying for a PhD - especially in computer science (or adjacent) fields - these might pertain to you. However, I think they're relevant for most PhD experiences.
Centroids and Large Persons in Yolov5
I remember when pjreddie released You-Only-Look-Once (YOLO) several years ago, and installing
PyTorch Pair-Wise Transforms and Data
Consider that you have a pair of images you want to train.
Basic cropping with PIL and PyTorch
I'm embarrassed to say that even at this point in
Basics of understanding someone else's AI code
You'll eventually face a moment where you're going
Causality in GANs
This semester I'm taking a course at UMBC called Causality
Advantages of Thermal Images over Visible Images for Facial Analysis
Below is an excerpt from our paper Ordun, Catherine, Edward Raff, and
A Brief Overview of GANs
Introduced by Goodfellow, et al. (Goodfellow) in 2014, a GAN consists of
Decision tree from scratch
Decision trees are one of the most fundamental algorithms in machine learning.