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 |
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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. |
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. |
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 |