Search Results for author: Volker Fischer

Found 16 papers, 5 papers with code

EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III

no code implementations21 Jun 2021 Omid Ghahabi, Volker Fischer

Speech Activity Detection (SAD), locating speech segments within an audio recording, is a main part of most speech technology applications.

Action Detection Activity Detection

Does enhanced shape bias improve neural network robustness to common corruptions?

no code implementations ICLR 2021 Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen

We conclude that the data augmentation caused by style-variation accounts for the improved corruption robustness and increased shape bias is only a byproduct.

Data Augmentation

EML System Description for VoxCeleb Speaker Diarization Challenge 2020

no code implementations23 Oct 2020 Omid Ghahabi, Volker Fischer

This technical report describes the EML submission to the first VoxCeleb speaker diarization challenge.

Speaker Diarization

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

2 code implementations NeurIPS 2020 Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling

We introduce the SE(3)-Transformer, a variant of the self-attention module for 3D point clouds and graphs, which is equivariant under continuous 3D roto-translations.


Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

no code implementations9 Aug 2019 Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer

We achieve state-of-the-art pruning results for ResNet-50 with higher accuracy on ImageNet.

Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation

no code implementations9 Oct 2018 Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke

Our filter module splits the filter task into multiple less complex and more interpretable subtasks.


Hierarchical Recurrent Filtering for Fully Convolutional DenseNets

no code implementations5 Oct 2018 Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke

Generating a robust representation of the environment is a crucial ability of learning agents.


The streaming rollout of deep networks - towards fully model-parallel execution

1 code implementation NeurIPS 2018 Volker Fischer, Jan Köhler, Thomas Pfeil

Deep neural networks, and in particular recurrent networks, are promising candidates to control autonomous agents that interact in real-time with the physical world.

Statestream: A toolbox to explore layerwise-parallel deep neural networks

no code implementations ICLR 2018 Volker Fischer

Most artificial deep neural networks are partitioned into a directed graph of connected modules or layers and the layers themselves consist of elemental building blocks, such as single units.

Universal Adversarial Perturbations Against Semantic Image Segmentation

no code implementations ICCV 2017 Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer

We show empirically that there exist barely perceptible universal noise patterns which result in nearly the same predicted segmentation for arbitrary inputs.

Image Classification Semantic Segmentation

Adversarial Examples for Semantic Image Segmentation

no code implementations3 Mar 2017 Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox

Machine learning methods in general and Deep Neural Networks in particular have shown to be vulnerable to adversarial perturbations.

General Classification Image Classification +1

On Detecting Adversarial Perturbations

1 code implementation14 Feb 2017 Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

In this work, we propose to augment deep neural networks with a small "detector" subnetwork which is trained on the binary classification task of distinguishing genuine data from data containing adversarial perturbations.

Adversarial Attack General Classification

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