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  • Arctic Code Vault Contributor
davidstutz/README.md

I'm a PhD student at the Max Planck Institute for Informatics doing research on deep learning and computer vision. Here on GitHub you can find research projects as well as open source software developed in my spare time.

Support my open source projects by donating: PayPal


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  1. Implementation of Confidence-Calibrated Adversarial Training (CCAT).

    Python 16 3

  2. CVPR'19 experiments with (on-manifold) adversarial examples.

    Python 23 5

  3. C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.

    C++ 163 18

  4. Collection of LaTeX resources and examples.

    TeX 217 88

  5. JQuery multiselect plugin based on Twitter Bootstrap.

    HTML 3.4k 1.9k

  6. An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

    C++ 249 82

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