davidstutz

JQuery multiselect plugin based on Twitter Bootstrap.

Collection of LaTeX resources and examples.

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

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

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

Python tool for obtaining watertight meshes using TSDF fusion.

Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.

Password strength meter based on Twitter Bootstrap and Password Score.

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

Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.

PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.

A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.

CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".

Efficient C++ implementation of mesh-to-mesh and mesh-to-point distance.

Password scoring library written in Javascript.

Simple example of implementing a new Tensorflow operation and its gradient in C++.

Implementation of the superpixel algorithm called SEEDS [1].