Volker Fischer

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EML System Description for VoxCeleb Speaker Diarization Challenge 2020

This technical report describes the EML submission to the first VoxCeleb...
10/23/2020 ∙ by Omid Ghahabi, et al. ∙ 0 ∙ share

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

We introduce the SE(3)-Transformer, a variant of the self-attention modu...
06/18/2020 ∙ by Fabian B. Fuchs, et al. ∙ 1 ∙ share

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

Deep neural networks achieve state-of-the-art results on several tasks w...
08/09/2019 ∙ by Chaithanya Kumar Mummadi, et al. ∙ 0 ∙ share

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Grid Saliency for Context Explanations of Semantic Segmentation

Recently, there has been a growing interest in developing saliency metho...
07/30/2019 ∙ by Lukas Hoyer, et al. ∙ 5 ∙ share

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Short-Term Prediction and Multi-Camera Fusion on Semantic Grids

An environment representation (ER) is a substantial part of every autono...
03/21/2019 ∙ by Lukas Hoyer, et al. ∙ 4 ∙ share

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Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation

The performance of autonomous systems heavily relies on their ability to...
10/09/2018 ∙ by Jörg Wagner, et al. ∙ 2 ∙ share

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Hierarchical Recurrent Filtering for Fully Convolutional DenseNets

Generating a robust representation of the environment is a crucial abili...
10/05/2018 ∙ by Jörg Wagner, et al. ∙ 0 ∙ share

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

Deep neural networks, and in particular recurrent networks, are promisin...
06/13/2018 ∙ by Volker Fischer, et al. ∙ 0 ∙ share

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Universal Adversarial Perturbations Against Semantic Image Segmentation

While deep learning is remarkably successful on perceptual tasks, it was...
04/19/2017 ∙ by Jan-Hendrik Metzen, et al. ∙ 0 ∙ share

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Adversarial Examples for Semantic Image Segmentation

Machine learning methods in general and Deep Neural Networks in particul...
03/03/2017 ∙ by Volker Fischer, et al. ∙ 0 ∙ share

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On Detecting Adversarial Perturbations

Machine learning and deep learning in particular has advanced tremendous...
02/14/2017 ∙ by Jan-Hendrik Metzen, et al. ∙ 0 ∙ share

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Volker Fischer

Featured Co-authors

Max Welling

Sven Behnke

Thomas Brox

Jan-Hendrik Metzen

Dan Zhang

Anna Khoreva

Tim Genewein

Daniel E. Worrall

Michael Herman

Jörg Wagner

Lukas Hoyer

EML System Description for VoxCeleb Speaker Diarization Challenge 2020

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

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

Grid Saliency for Context Explanations of Semantic Segmentation

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids

Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation

Hierarchical Recurrent Filtering for Fully Convolutional DenseNets

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

Universal Adversarial Perturbations Against Semantic Image Segmentation

Adversarial Examples for Semantic Image Segmentation

On Detecting Adversarial Perturbations