Learning Implicit Surface Light Fields

3 code implementations • 27 Mar 2020 • Michael Oechsle, Michael Niemeyer, Lars Mescheder, Thilo Strauss, Andreas Geiger

In this work, we propose a novel implicit representation for capturing the visual appearance of an object in terms of its surface light field.

3D Reconstruction Image Generation +1

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data

1 code implementation • 6 Jun 2019 • Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer

For reproducibility of the method, our synthetic data is publicly available.

Intrusion Detection

Texture Fields: Learning Texture Representations in Function Space

no code implementations • ICCV 2019 • Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger

A major reason for these limitations is that common representations of texture are inefficient or hard to interface for modern deep learning techniques.

Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks

no code implementations • 10 Oct 2018 • Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer

Neural networks have proven their capabilities by outperforming many other approaches on regression or classification tasks on various kinds of data.

Style Transfer Vocal Bursts Intensity Prediction

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks

no code implementations • ICLR 2018 • Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer

We propose to use ensemble methods as a defense strategy against adversarial perturbations.

Self-Driving Cars