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Hi there 👋

I am a PhD student in VCC Computational Imaging group at King Abdullah University of Science and Technology (KAUST), working with Prof. Wolfgang Heidrich. Prior to this, I got BS degree in Physics (major) and Computer Science (minor) at the University of Science and Technology of China (USTC). More details on my homepage, and lab profile.

My research interests lie in differentiable optical simulation, end-to-end optics and network co-design, and computational imaging algorithms. We developed an awesome differentiable ray tracer DeepLens for general end-to-end optical design. I’m open to discussion and collaboration, feel free to reach out if you are interested! I am also interested in [basketball/running/traveling/photography].

Contact: [email protected]

Xinge Yang's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

autolens icon autolens

AutoLens: automated lens design from scratch.

deeplens icon deeplens

DeepLens: a differentiable ray-tracer for computational lens design.

gcnet icon gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

localgaussianblur icon localgaussianblur

PyTorch implementation of a Gaussian Blur operation with changing kernel variance

nerf-pytorch icon nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

singer-yang.github.io icon singer-yang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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