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I'm a research scientist at DeepMind doing research on robust and reliable deep learning. Before, I did a PhD at the Max Planck Institute for Informatics. Here on GitHub you can find research projects as well as open source software developed in my spare time.

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David Stutz's Projects

bachelor-thesis-superpixels icon bachelor-thesis-superpixels

Bachelor thesis "Superpixel Segmentation using Depth Information", including a thorough comparison of several state-of-the-art superpixel algorithms.

caffe-tools icon caffe-tools

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

color-names icon color-names

Provides color names and HTML/RGB mappings in various output formats.

cviu2018-superpixels icon cviu2018-superpixels

CVIU 2018 paper "Superpixels: An Evaluation of the State-of-the-Art" - https://arxiv.org/abs/1612.01601.

daml-shape-completion icon daml-shape-completion

CVPR'18 implementation of (deterministic) amortized maximum likelihood (AML) for weakly-supervised shape completion.

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