IAM

DAVIDSTUTZ

I am looking for full-time (applied) research opportunities in industry, involving (trustworthy and robust) machine learning or (3D) computer vision, starting early 2022. Check out my CV and get in touch on LinkedIn!

RESEARCH

Computer Vision and Machine Learning

Robust Generalization and Flatness
ADVERSARIAL MACHINE LEARNING COMPUTER VISION DEEP LEARNING PUBLICATION

Robust generalization and overfitting linked to flatness of robust loss surface in weight space.

Robust Generalization and Flatness
Random and Adversarial Bit Robustness
ADVERSARIAL MACHINE LEARNING COMPUTER VISION DEEP LEARNING DNN ACCELERATORS PUBLICATION

Random and adversarial bit error robustness of DNNs for energy-efficient and secure DNN accelerators.

Random and Adversarial Bit Robustness Random Bit Error Robustness
Confidence-Calibrated Adversarial Training
ADVERSARIAL MACHINE LEARNING COMPUTER VISION DEEP LEARNING PUBLICATION

Confidence calibration of adversarial training for "generalizable" robustness.

Confidence-Calibrated Adversarial Training
Adversarial Patch Training
ADVERSARIAL MACHINE LEARNING COMPUTER VISION DEEP LEARNING PUBLICATION PYTHON PYTORCH

Adversarial training on location-optimized adversarial patches.

Adversarial Patch Training
Adversarial Robustness and Generalization
ADVERSARIAL MACHINE LEARNING COMPUTER VISION DEEP LEARNING PUBLICATION

Disentangling the relationship between adversarial robustness and generalization.

Adversarial Robustness and Generalization
Improved Shape Completion
C++ COMPUTER VISION DEEP LEARNING LUA PUBLICATION PYTHON TORCH

Learning 3D shape completion under weak supervision; on ShapeNet, ModelNet, KITTI and Kinect data; published at CVPR and on ArXiv.

Improved Shape Completion Shape Completion
Superpixel Benchmark (2016)
C++ COMPUTER VISION MATLAB OPENCV PUBLICATION THESIS

A comprehensive comparison and evaluation of 28 superpixel algorithms on 5 different datasets; published in CVIU and GCPR.

Superpixel Benchmark (2016) Superpixel Benchmark (2014)

MISC

Educational

MatLab Two-Layer Perceptron
COMPUTER VISION DEEP LEARNING MACHINE LEARNING MATLAB SEMINAR

A two-layer perceptron for digit classification on MNIST implemented in MatLab.

MatLab Two-Layer Perceptron
PHP Matrix Decompositions
MATHEMATICS NUMERICAL ANALYSIS PHP

Common matrix decompositions, including LU, Cholesky and QR decompositions, implemented in PHP; also includes an interactive application to demonstrate and explain the material.

PHP Matrix Decompositions
PHP Simplex
MATHEMATICS OPTIMIZATION PHP

The Simplex algorithm for solving linear programs implemented in PHP.

PHP Simplex
Functional Dependencies
PHP

Relational databases can be described in terms of functional dependencies; this project implements functional dependencies as well as second and third normal form in PHP.

Functional Dependencies

OPEN SOURCE

Web Development

Twitter Bootstrap Plugins
BOOTSTRAP CSS JAVASCRIPT JQUERY

Some plugins for Twitter Bootstrap and jQuery; including a multiselect plugin and a password strength meter.

Twitter Bootstrap Plugins
Kohana Modules
KOHANA PHP SOFTWARE ENGINEERING WEB SECURITY

Modules for the HMVC framework Kohana; including modules for user authentication, access control, form generation and validation, CSS and JS assets and more.

Kohana Modules
CMSimple Plugins and Themes
CMSIMPLE PHP

Plugins for CMSimple XH, a lightweight content management system; including, among others, news article, image gallery and YouTube plugins.

CMSimple Plugins and Themes
Wordpress Plugins and Themes
JAVASCRIPT JQUERY PHP WORDPRESS

Experimental Wordpress plugins and themes; including this theme and plugins for author biographies and live data from GitHub.

Wordpress Plugins and Themes
COPYRIGHT DAVIDSTUTZ IMPRESSUM & DATENSCHUTZ