Janis Keuper | DeepAI

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Featured Co-authors

Margret Keuper
40 publications
Ullrich Köthe
34 publications
Norbert Wehn
17 publications
Franz-Josef Pfreundt
13 publications
Nicolas R. Gauger
12 publications
Paula Harder
9 publications
Ricard Durall
7 publications
Sabine Müller
6 publications
Kalun Ho
4 publications
Dominik Marek Loroch
2 publications
Peter Michael Habelitz
2 publications

∙ 03/04/2021

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Despite the success of convolutional neural networks (CNNs) in many comp...

30 Paula Harder, et al. ∙

∙ 12/16/2020

Latent Space Conditioning on Generative Adversarial Networks

Generative adversarial networks are the state of the art approach toward...

17 Ricard Durall, et al. ∙

∙ 12/01/2020

Python Workflows on HPC Systems

The recent successes and wide spread application of compute intensive ma...

46 Dominik Strassel, et al. ∙

∙ 07/06/2020

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches

In this work, we evaluate two different image clustering objectives, k-m...

22 Kalun Ho, et al. ∙

∙ 03/03/2020

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Generative convolutional deep neural networks, e.g. popular GAN architec...

32 Ricard Durall, et al. ∙

∙ 02/26/2020

PHS: A Toolbox for Parellel Hyperparameter Search

We introduce an open source python framework named PHS - Parallel Hyperp...

20 Peter Michael Habelitz, et al. ∙

∙ 02/26/2020

PHS: A Toolbox for Parallel Hyperparameter Search

We introduce an open source python framework named PHS - Parallel Hyperp...

15 Peter Michael Habelitz, et al. ∙

∙ 02/07/2020

Local Facial Attribute Transfer through Inpainting

The term attribute transfer refers to the tasks of altering images in su...

0 Ricard Durall, et al. ∙

∙ 02/04/2020

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts

Multiple Object Tracking (MOT) is a long-standing task in computer visio...

0 Kalun Ho, et al. ∙

∙ 01/16/2020

Scalable Hyperparameter Optimization with Lazy Gaussian Processes

Most machine learning methods require careful selection of hyper-paramet...

0 Raju Ram, et al. ∙

∙ 11/02/2019

Unmasking DeepFakes with simple Features

Deep generative models have recently achieved impressive results for man...

3 Ricard Durall, et al. ∙

∙ 10/08/2019

Semi Few-Shot Attribute Translation

Recent studies have shown remarkable success in image-to-image translati...

0 Ricard Durall, et al. ∙

∙ 09/26/2019

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks

Current training methods for deep neural networks boil down to very high...

90 Avraam Chatzimichailidis, et al. ∙

∙ 09/23/2019

Object Segmentation using Pixel-wise Adversarial Loss

Recent deep learning based approaches have shown remarkable success on o...

11 Ricard Durall, et al. ∙

∙ 05/29/2019

Stabilizing GANs with Octave Convolutions

In this preliminary report, we present a simple but very effective techn...

0 Ricard Durall, et al. ∙

∙ 08/27/2018

Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant

Deep learning is finding its way into the embedded world with applicatio...

0 Dominik Marek Loroch, et al. ∙

∙ 10/13/2017

TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization

Recent research implies that training and inference of deep neural netwo...

0 Dominik Marek Loroch, et al. ∙

∙ 06/02/2017

Facies classification from well logs using an inception convolutional network

The idea to use automated algorithms to determine geological facies from...

0 Valentin Tschannen, et al. ∙

∙ 09/22/2016

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability

This paper presents a theoretical analysis and practical evaluation of t...

0 Janis Keuper, et al. ∙

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