Brian Xu

Hi, I'm Brian. I'm highly interested in computer vision and machine learning problems, especially ones involving inverse graphics.


Currently, I am pursuing graduate studies at Brown University. Previously, I received my bachelor's degree in Computer Science from the University of California, Irvine. During my undergraduate studies, I interned at Amazon and Meta Platforms.


Resume/CV: CV

Projects

2021
└2020

Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data

GAN that generates 3D geometries corresponding to 2D representations, trained via a differentiable renderer (RenderNet).

Original paper by Lunz et al.

GitHub: brian-xu/iggan

2020

FireCast: Leveraging Deep Learning to Predict Wildfire Spread

Web application that uses a convolutional neural network along with geographical data to predict the spread of wildfires.

Original paper by Radke et al.

GitHub: brian-xu/wildfire-prediction

2020

Calculating Fractal Dimensions with Box-Counting

Implementation of a fast and accurate method for computing the fractal dimension of noisy images, with implications in image classification and medical imaging.

Original paper by Wen-Li Lee and Kai-Sheng Hsieh

GitHub: brian-xu/FractalDimension

Contact:

LinkedIn: linkedin.com/in/brian-s-xu
GitHub: github.com/brian-xu
Email: