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05/31/2022
Contrasting quadratic assignments for set-based representation learning
The standard approach to contrastive learning is to maximize the agreeme...
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08/12/2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Common deep neural networks (DNNs) for image classification have been sh...
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06/21/2021
EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III
Speech Activity Detection (SAD), locating speech segments within an audi...
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04/20/2021
Does enhanced shape bias improve neural network robustness to common corruptions?
Convolutional neural networks (CNNs) learn to extract representations of...
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04/01/2021
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
Single-view 3D object reconstruction has seen much progress, yet methods...
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10/23/2020
EML System Description for VoxCeleb Speaker Diarization Challenge 2020
This technical report describes the EML submission to the first VoxCeleb...
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06/18/2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
We introduce the SE(3)-Transformer, a variant of the self-attention modu...
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08/09/2019
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...
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07/30/2019
Grid Saliency for Context Explanations of Semantic Segmentation
Recently, there has been a growing interest in developing saliency metho...
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03/21/2019
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
An environment representation (ER) is a substantial part of every autono...
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10/09/2018
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation
The performance of autonomous systems heavily relies on their ability to...
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10/05/2018
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
Generating a robust representation of the environment is a crucial abili...
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06/13/2018
The streaming rollout of deep networks - towards fully model-parallel execution
Deep neural networks, and in particular recurrent networks, are promisin...
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04/19/2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
While deep learning is remarkably successful on perceptual tasks, it was...
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03/03/2017
Adversarial Examples for Semantic Image Segmentation
Machine learning methods in general and Deep Neural Networks in particul...
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02/14/2017
