Discover davidstutz/bachelor-thesis-superpixels Open Source project

Collection of LaTeX resources and examples.

3,668

latex-resources

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

475

superpixel-benchmark

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

352

mesh-voxelization

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.

298

superpixels-revisited

Python tool for obtaining watertight meshes using TSDF fusion.

252

mesh-fusion

Password strength meter based on Twitter Bootstrap and Password Score.

150

bootstrap-strength-meter

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

caffe-tools

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

matlab-mnist-two-layer-perceptron

MATLAB

cvpr2018-shape-completion

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

Password scoring library written in Javascript.

password-score

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

pytorch-adversarial-examples-training-articles

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

tensorflow-cpp-op-example

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

bpy-visualization-utils

Implementation of the superpixel algorithm called SEEDS [1].

seeds-revised

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

mesh-evaluation

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

disentangling-robustness-generalization

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

graph-based-image-segmentation

Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].

extended-berkeley-segmentation-benchmark

Implementation of Confidence-Calibrated Adversarial Training (CCAT).

confidence-calibrated-adversarial-training

Code from the MIT Intrinsic Images Dataset [1]; Including command line tool for Retinex algorithm.

grosse2009-intrinsic-images

An example of using Google Mock inspired by Martin Fowler's "Mocks Aren't Stubs".

googlemock-example

Implementation of the hierarchical graph-based video segmentation algorithm proposed by Grundmann et al. [1] based on the image segmentation algorithm by Felzenswalb and Huttenlocher [2].

hierarchical-graph-based-video-segmentation

Tools used in [2] to pre-process the ground truth segmentations to evaluate superpixel algorithms.

nyu-depth-v2-tools

MATLAB

flow-io-opencv

Fork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].

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

daml-shape-completion

Example and cheat sheet for the Sphinx Python documentation generator.

sphinx-example

Torch PointNet auto encoder implementation.

pointnet-auto-encoder

ArXiv'18 pre-print "Learning 3D Shape Completion under Weak Supervision".

ijcv2018-improved-shape-completion

Implementation of average- and worst-case robust flatness measures for adversarial training.

robust-generalization-flatness

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

arxiv-submission-sanitizer-flattener

Example of easily implementing custom tensor operations in C and CUDA.

pytorch-custom-c-cuda-operations

Implementation of the iPiano algorithm for non-convex and non-smooth optimization as described in [1].

ipiano

This is a quick patch for compiling OpenCV 2.4.x with CUDA 9.

opencv-2.4-cuda-9-patch

CMake

cvpr2019-adversarial-robustness

CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".

kohana-hooks

Event module for Kohana.

Seminar paper "Understanding Convolutional Neural Networks".

seminar-convolutional-neural-networks

Python probabilistic PCA (PPCA) implementation.

probabilistic-pca

ArXiv'18 implementation of amortized maximum likelihood (AML) for high-quality, weakly-supervised shape completion.

aml-improved-shape-completion

Example of using VLFeat's SLIC implementation from C++.

vlfeat-slic-example

ICML'20 paper "Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks".

icml2020-confidence-calibrated-adversarial-training

Fork of SIFT++, a lightweight C++ implementation of the SIFT detector and descriptor.

vedaldi2006-siftpp

Collection of Torch examples for deep learning.

torch-examples

Lua

mathematical-image-processing

Implementations and examples of basic mathematical image processing algorithms. Based on the lectures "Mathematical Foundations of Image Processing" and "Variational Methods in Image Processing" by Prof. Berkels.

MATLAB

php-simplex

PHP library implementing the simplex algorithm.

Example for continuous integration with Jasmine, GitHub and Travis CI.

jasmine-travis-example

Demonstration of common matrix decompositions in PHP.

php-matrix-decompositions-demonstration

Master thesis "Learning 3D Shape Completion from Bounding Boxes using CAD Shape Priors".

master-thesis-shape-completion

ICCV'21 paper "Relating Adversarially Robust Generalization to Flat Minima".

iccv2021-robust-flatness

PostScript

banic2012-color-constancy

Fork of the Light Random Spray Retinex Algorithm as discussed in [1].

Lightweight jQuery plugin to display algorithms similar to LaTeX pseudocode and algorithm packages.

jquery-pseudocode

Small demo application for calculating candidate keys of a given relational database schema.

functional-dependencies

Topological sort using d3.js.

d3-topological

Wordpress theme of my personal webpage.

wordpress-iamdavidstutz

Implementation of robust quantization, weight clipping and random bit error training to improve robustness against bit errors in quantized weights.

random-bit-error-robustness

Converted datasets for davidstutz/superpixel-benchmark.

superpixel-benchmark-data

php-matrix-decompositions

PHP Library including several common matrix decompositions: LU, QR and Cholesky.

Kohana authentication module based on Kohana's ORM and Database module.

kohana-red

CMSimple plugin for creating different kinds of sliders and galleries.

cmsimple-pictures

GCPR 2015 paper and poster "Superpixel Segmentation: An Evaluation".

gcpr2015-superpixels

Seminar paper "Neural Codes for Image Retreival".

seminar-cnn-image-retrieval

Navigation generation module for Kohana.

kohana-navigation

CMSimple theme of my personal webpage.

davidstutz

Personal README.

cmsimple-iamdavidstutz

CSS

kohana-green

Kohana Access Control List implementation based on Kohana's Red module.

wordpress-github

Wordpress GitHub plugin.

CMSimple plugin for managing and publishing news.

cmsimple-news

MEX wrapper for Ali Rahimi's multi-label connected components implementation in C++.

matlab-multi-label-connected-components

Kohana form creation module based on ORM models.

kohana-gaps

Seminar paper "Introduction to Neural Networks".

seminar-neural-networks

Project of "Social Network Analysis" MOOC by the University of Michigan on analyzing StackExchange sites.

project-social-network-analysis-stackexchange

Seminar paper "iPiano: Inertial Proximal Algorithm for Non-Convex Optimization".

seminar-ipiano

Interactive plots of results from the superpixel benchmark davidstutz/superpixel-benchmark using NVD3.

superpixel-benchmark-nvd3

Interactive compariosn of superpixel algorithms as presented in the bachelor thesis "Superpixel Segmentation using Depth Information" [1].

nvd3-superpixel-comparison

RWTH Aachen University Proseminar 2012 Chair for Data Management and Data Exploration: Dart - A Brief Introduction

proseminar-dart

CADL course project: different architectures implemented in TensorFlow and tested on MNIST.

tensorflow-mnist-experiments

CMSimple plugin for creating youtube video galleries.

cmsimple-youtube

Yellow is a logging module for the Kohana Green module based on Green and Red.

kohana-yellow

PyTorch implementation of projected gradient descent (PGD) to generate L_p adversarial examples.

pytorch-pgd-adversarial-examples

pytorch-adversarial-robustness-articles

Code corresponding to a series of blog articles on adversarial robustness at davidstutz.de.

pytorch-tensorboard-monitoring

PyTorch example for using TensorBoard logging in a plug-and-play fashion.

cmsimple-bootstrap

A simple CMSimple theme based on Twitter Bootstrap.

CSS

cmsimple-bbclone

BBClone plugin for CMSimple.

CMSimple elFinder filebrowser.

cmsimple-elfinder

PyTorch example for loading models without initializing their architectures first.

pytorch-loading-models

pytorch-cifar10-autoaugment-cutout

PyTorch Code for getting 2.56% test error on CIFAR-10 using AugoAugment and CutOut.

kohana-media

Simple media/assets module for Kohana.

Naive jQuery plugin to allow referencing figures, listings, algorithms and references in a BibTex-like style.

jquery-references

Blue is a user configuration module based on Kohana's Red module.

kohana-blue