b'Stefan Roth'

research

∙ 05/16/2023

Content-Adaptive Downsampling in Convolutional Neural Networks

Many convolutional neural networks (CNNs) rely on progressive downsampli...

0 robin-hesse, et al. ∙

research

∙ 02/03/2023

Integrated Communication and Control Systems: A Data Significance Perspective

The interconnected smart devices and industrial internet of things devic...

0 Stefan Roth, et al. ∙

research

∙ 11/25/2022

Efficient Feature Extraction for High-resolution Video Frame Interpolation

Most deep learning methods for video frame interpolation consist of thre...

0 Moritz Nottebaum, et al. ∙

research

∙ 11/22/2022

S^2-Flow: Joint Semantic and Style Editing of Facial Images

The high-quality images yielded by generative adversarial networks (GANs...

0 Krishnakant Singh, et al. ∙

research

∙ 11/10/2022

Optimizing the Age of Information in Mixed-Critical Wireless Communication Networks

Beyond fifth generation wireless communication networks (B5G) are applie...

0 Robert-Jeron Reifert, et al. ∙

research

∙ 08/11/2022

Approximation-based Threshold Optimization from Single Antenna to Massive SIMO Authentication

In a wireless sensor network, data from various sensors are gathered to ...

0 Stefan Roth, et al. ∙

research

∙ 08/10/2022

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Despite years of research, out-of-domain generalization remains a critic...

7 Sherwin Bahmani, et al. ∙

research

∙ 05/03/2022

Diverse Image Captioning with Grounded Style

Stylized image captioning as presented in prior work aims to generate ca...

0 Franz Klein, et al. ∙

research

∙ 04/25/2022

Comeback Kid: Resilience for Mixed-Critical Wireless Network Resource Management

The future sixth generation (6G) of communication systems is envisioned ...

0 Robert-Jeron Reifert, et al. ∙

research

∙ 02/16/2022

Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality

Future sixth generation (6G) wireless communication networks face the ne...

0 Robert-Jeron Reifert, et al. ∙

research

∙ 12/03/2021

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing

Wireless radio channels are known to contain information about the surro...

0 Paul Staat, et al. ∙

research

∙ 11/15/2021

Fast Axiomatic Attribution for Neural Networks

Mitigating the dependence on spurious correlations present in the traini...

0 robin-hesse, et al. ∙

research

∙ 11/11/2021

Dense Unsupervised Learning for Video Segmentation

We present a novel approach to unsupervised learning for video object se...

0 Nikita Araslanov, et al. ∙

research

∙ 10/17/2021

PixelPyramids: Exact Inference Models from Lossless Image Pyramids

Autoregressive models are a class of exact inference approaches with hig...

3 Shweta Mahajan, et al. ∙

research

∙ 09/13/2021

xGQA: Cross-Lingual Visual Question Answering

Recent advances in multimodal vision and language modeling have predomin...

17 Jonas Pfeiffer, et al. ∙

research

∙ 09/09/2021

TxT: Crossmodal End-to-End Learning with Transformers

Reasoning over multiple modalities, e.g. in Visual Question Answering (V...

14 Jan-Martin O. Steitz, et al. ∙

research

∙ 05/05/2021

Self-Supervised Multi-Frame Monocular Scene Flow

Estimating 3D scene flow from a sequence of monocular images has been ga...

2 Junhwa Hur, et al. ∙

research

∙ 04/30/2021

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

We propose an approach to domain adaptation for semantic segmentation th...

0 Nikita Araslanov, et al. ∙

research

∙ 03/18/2021

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

We present a simple and effective approach for non-blind image deblurrin...

0 Jiangxin Dong, et al. ∙

research

∙ 03/15/2021

Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise

To adopt neural networks in safety critical domains, knowing whether we ...

0 Jannik Schmitt, et al. ∙

research

∙ 12/14/2020

Localization Attack by Precoder Feedback Overhearing in 5G Networks and Countermeasures

In fifth-generation (5G) cellular networks, users feed back to the base ...

0 Stefan Roth, et al. ∙

research

∙ 11/02/2020

Diverse Image Captioning with Context-Object Split Latent Spaces

Diverse image captioning models aim to learn one-to-many mappings that a...

0 Shweta Mahajan, et al. ∙

research

∙ 10/15/2020

MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking

Standardized benchmarks have been crucial in pushing the performance of ...

4 Patrick Dendorfer, et al. ∙

research

∙ 07/11/2020

Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning

General-purpose trajectory planning algorithms for automated driving uti...

42 Sascha Rosbach, et al. ∙

research

∙ 05/28/2020

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...

6 Wentong Liao, et al. ∙

research

∙ 05/16/2020

Single-Stage Semantic Segmentation from Image Labels

Recent years have seen a rapid growth in new approaches improving the ac...

0 Nikita Araslanov, et al. ∙

research

∙ 05/11/2020

Remote Short Blocklength Process Monitoring: Trade-off Between Resolution and Data Freshness

In cyber-physical systems, as in 5G and beyond, multiple physical proces...

0 Stefan Roth, et al. ∙

research

∙ 04/08/2020

Self-Supervised Monocular Scene Flow Estimation

Scene flow estimation has been receiving increasing attention for 3D env...

7 Junhwa Hur, et al. ∙

research

∙ 04/08/2020

Normalizing Flows with Multi-Scale Autoregressive Priors

Flow-based generative models are an important class of exact inference m...

3 Shweta Mahajan, et al. ∙

research

∙ 04/06/2020

Optical Flow Estimation in the Deep Learning Age

Akin to many subareas of computer vision, the recent advances in deep le...

0 Junhwa Hur, et al. ∙

research

∙ 03/31/2020

Probabilistic Pixel-Adaptive Refinement Networks

Encoder-decoder networks have found widespread use in various dense pred...

0 Anne S. Wannenwetsch, et al. ∙

research

∙ 03/19/2020

MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...

17 Patrick Dendorfer, et al. ∙

research

∙ 02/16/2020

Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings

Learned joint representations of images and text form the backbone of se...

7 Shweta Mahajan, et al. ∙

research

∙ 12/07/2019

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving

General-purpose planning algorithms for automated driving combine missio...

0 Sascha Rosbach, et al. ∙

research

∙ 09/26/2019

Markov Decision Process for Video Generation

We identify two pathological cases of temporal inconsistencies in video ...

32 Vladyslav Yushchenko, et al. ∙

research

∙ 09/26/2019

Deep Video Deblurring: The Devil is in the Details

Video deblurring for hand-held cameras is a challenging task, since the ...

33 Jochen Gast, et al. ∙

research

∙ 09/14/2019

Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings

One of the key challenges in learning joint embeddings of multiple modal...

17 Shweta Mahajan, et al. ∙

research

∙ 09/09/2019

Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice

Dense prediction tasks typically employ encoder-decoder architectures, b...

0 Anne S. Wannenwetsch, et al. ∙

research

∙ 06/10/2019

CVPR19 Tracking and Detection Challenge: How crowded can it get?

Standardized benchmarks are crucial for the majority of computer vision ...

8 Patrick Dendorfer, et al. ∙

research

∙ 05/01/2019

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

Behavior and motion planning play an important role in automated driving...

0 Sascha Rosbach, et al. ∙

research

∙ 04/10/2019

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

Deep learning approaches to optical flow estimation have seen rapid prog...

0 Junhwa Hur, et al. ∙

research

∙ 04/10/2019

Actor-Critic Instance Segmentation

Most approaches to visual scene analysis have emphasised parallel proces...

0 Nikita Araslanov, et al. ∙

research

∙ 11/26/2018

Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN

In this paper we study the impact of unmanned aerial vehicles (UAVs) tra...

0 Stefan Roth, et al. ∙

research

∙ 10/30/2018

Neural Nearest Neighbors Networks

Non-local methods exploiting the self-similarity of natural signals have...

0 Tobias Plötz, et al. ∙

research

∙ 10/21/2018

On a linear functional for infinitely divisible moving average random fields

Given a low-frequency sample of the infinitely divisible moving average ...

0 Stefan Roth, et al. ∙

research

∙ 10/04/2018

Multi-view X-ray R-CNN

Motivated by the detection of prohibited objects in carry-on luggage as ...

0 Jan-Martin O. Steitz, et al. ∙

research

∙ 07/05/2018

A solution to a linear integral equation with an application to statistics of infinitely divisible moving averages

For given measurable functions g,h:R^d →R and a (weighted) L^2-function ...

0 Jochen Glück, et al. ∙

research

∙ 05/29/2018

Lightweight Probabilistic Deep Networks

Even though probabilistic treatments of neural networks have a long hist...

6 Jochen Gast, et al. ∙

research

∙ 04/29/2018

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers

In this paper, we develop novel, efficient 2D encodings for 3D geometry,...

0 Stephan R. Richter, et al. ∙

research

∙ 04/12/2018

A Power-Efficient Scheme for Cellular Uplink with Inter-cell Interference

We investigate Gaussian widely linear precoding well-known as improper G...

0 Ali Kariminezhad, et al. ∙

Stefan Roth

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