David Stutz's repositories
superpixels-revisited
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.
bootstrap-strength-meter
Password strength meter based on Twitter Bootstrap and Password Score.
matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
mesh-evaluation
Efficient C++ implementation of mesh-to-mesh and mesh-to-point distance.
tensorflow-cpp-op-example
Simple example of implementing a new Tensorflow operation and its gradient in C++.
seeds-revised
Implementation of the superpixel algorithm called SEEDS [1].
confidence-calibrated-adversarial-training
Implementation of Confidence-Calibrated Adversarial Training (CCAT).
disentangling-robustness-generalization
CVPR'19 experiments with (on-manifold) adversarial examples.
extended-berkeley-segmentation-benchmark
Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].
googlemock-example
An example of using Google Mock inspired by Martin Fowler's "Mocks Aren't Stubs".
nyu-depth-v2-tools
Tools used in [2] to pre-process the ground truth segmentations to evaluate superpixel algorithms.
pointnet-auto-encoder
Torch PointNet auto encoder implementation.
bootstrap-file-upload
Minimal but elegant file upload button for Twitter Bootstrap and IE 7/8/9 support.
cvpr2019-adversarial-robustness
CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
pytorch-custom-c-cuda-operations
Example of easily implementing custom tensor operations in C and CUDA.
probabilistic-pca
Python probabilistic PCA (PPCA) implementation.
seminar-convolutional-neural-networks
Seminar paper "Understanding Convolutional Neural Networks".
aml-improved-shape-completion
ArXiv'18 implementation of amortized maximum likelihood (AML) for high-quality, weakly-supervised shape completion.
icml2020-confidence-calibrated-adversarial-training
ICML'20 paper "Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks".
superpixel-benchmark-data
Converted datasets for davidstutz/superpixel-benchmark.
master-thesis-shape-completion
Master thesis "Learning 3D Shape Completion from Bounding Boxes using CAD Shape Priors".
seminar-cnn-image-retrieval
Seminar paper "Neural Codes for Image Retreival".
matlab-multi-label-connected-components
MEX wrapper for Ali Rahimi's multi-label connected components implementation in C++.
proseminar-dart
RWTH Aachen University Proseminar 2012 Chair for Data Management and Data Exploration: Dart - A Brief Introduction
seminar-ipiano
Seminar paper "iPiano: Inertial Proximal Algorithm for Non-Convex Optimization".
seminar-neural-networks
Seminar paper "Introduction to Neural Networks".
kohana-media
Simple media/assets module for Kohana.
octnet-batch-normalization
Batch Normalization for OctNets.
proseminar-dart-contacts
RWTH Aachen University Proseminar 2012 Chair for Data Management and Data Exploration: Dart - A Brief Introduction - Sample application "Contacts".
torch-volumetric-nnup
Volumetric nearest neighbor upsampling for Torch based on kmul00/torch-vol.