PhD Thesis: Uncertainty and Robustness

PhD thesis on uncertainty estimation and (adversarial) robustness in deep learning.

Conformal Training

End-to-end training of deep neural networks and conformal predictors to reduce confidence set size and optimizer application-specific objectives.

Robust Generalization and Flatness

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

Random and Adversarial Bit Robustness

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

Confidence-Calibrated Adversarial Training

Confidence calibration of adversarial training for "generalizable" robustness.

Adversarial Robustness and Generalization

Disentangling the relationship between adversarial robustness and generalization.

Improved Shape Completion

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

Superpixel Benchmark (2016)

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

Superpixel Algorithms

Revised C++ implementations of two popular superpixel algorithms, SEEDS and FH, which are shown to outperform the original implementations.

Video Segmentation

Efficient C++ implementation for hierarchical graph-based image segmentation.

Non-Convex Optimization

Efficient C++ implementation of iPiano, a proximal algorithm with inertial force for non-convex and non-smooth optimization; including applications to image segmentation.

Enhancing Weak Subnets

Improving corruption and adversarial robustness by enhancing weak sub-networks.

Batch Normalization and Adversarial Training

Adversarial Patch Training

Adversarial training on location-optimized adversarial patches.

PyTorch C/CUDA Module Template

A template for extending PyTorch using C/CUDA operations.

Mesh Fusion, Voxelization & Evaluation

3D mesh fusion, voxelization and evaluation for computer vision research.

OctNet Batch Normalization

Torch/CUDA implementation of batch normalization for OctNets.

Torch Examples, Guides and Resources

Basic and advanced torch examples, template for implementing custom C/CUDA modules and implementations of variational auto-encoders.

Custom Tensorflow Operations in C++

An example of a custom TensorFlow operation implemented in C++.

pyCaffe Tools, Examples and Resources

Examples, tools and resources for using Caffe's Python interface pyCaffe.

blenderpy Mesh/Voxel Visualization

Probabilistic PCA

Python implementation of probabilistic principal component analysis (PPCA).

Density Forests in C++

A C++ implementation of density forests.

Extended Berkeley Segmentation Benchmark

The Berkeley Segmentation Benchmark extended by superpixel metrics.

NYU Depth v2 Segmentation Tools

Tools to pre-process the NYU Depth v2 segmentations for evaluation.

Twitter Bootstrap Plugins

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

Kohana Modules

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

CMSimple Plugins and Themes

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

Wordpress Plugins and Themes

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

Employee Scheduling Web Applications

Web applications for employee and work scheduling.

Websites and Custom Web Apps

LaTeX Resources and Examples

A repository with LaTeX examples, templates and tricks.

(Convolutional) Neural Network Tutorials

Tutorials for (deep convolutional) neural networks.

MatLab Two-Layer Perceptron

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

Image Processing Exercises in MatLab/C++

Several mathematical impage processing exercises implemented in C++ and MatLab.

PHP Matrix Decompositions

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

PHP Simplex

The Simplex algorithm for solving linear programs implemented in PHP.

Functional Dependencies

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.