Vasileios Belagiannis

research

∙ 08/17/2023

Pedestrian Environment Model for Automated Driving

Besides interacting correctly with other vehicles, automated vehicles sh...

0 Adrian Holzbock, et al. ∙

research

∙ 08/11/2023

Out-of-Distribution Detection for Monocular Depth Estimation

In monocular depth estimation, uncertainty estimation approaches mainly ...

0 Julia Hornauer, et al. ∙

research

∙ 08/09/2023

SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation

Generalisation of deep neural networks becomes vulnerable when distribut...

0 Youssef Dawoud, et al. ∙

research

∙ 08/03/2023

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction

Despite the significant research efforts on trajectory prediction for au...

0 Julian Wiederer, et al. ∙

research

∙ 06/23/2023

Automated Automotive Radar Calibration With Intelligent Vehicles

While automotive radar sensors are widely adopted and have been used for...

0 Alexander Tsaregorodtsev, et al. ∙

research

∙ 06/22/2023

Data-Free Backbone Fine-Tuning for Pruned Neural Networks

Model compression techniques reduce the computational load and memory co...

0 Adrian Holzbock, et al. ∙

research

∙ 04/21/2023

Automated Static Camera Calibration with Intelligent Vehicles

Connected and cooperative driving requires precise calibration of the ro...

10 Alexander Tsaregorodtsev, et al. ∙

research

∙ 04/12/2023

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction

It is desirable to predict the behavior of traffic participants conditio...

9 Julian Schmidt, et al. ∙

research

∙ 03/14/2023

Localizing Spatial Information in Neural Spatiospectral Filters

Beamforming for multichannel speech enhancement relies on the estimation...

0 Annika Briegleb, et al. ∙

research

∙ 02/20/2023

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles

We present a joint camera and radar approach to enable autonomous vehicl...

23 Adrian Holzbock, et al. ∙

research

∙ 12/06/2022

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs

Graph neural networks have shown to learn effective node representations...

4 Osman Ülger, et al. ∙

research

∙ 11/18/2022

Knowing What to Label for Few Shot Microscopy Image Cell Segmentation

In microscopy image cell segmentation, it is common to train a deep neur...

14 Youssef Dawoud, et al. ∙

research

∙ 11/15/2022

Heatmap-based Out-of-Distribution Detection

Our work investigates out-of-distribution (OOD) detection as a neural ne...

10 Julia Hornauer, et al. ∙

research

∙ 09/05/2022

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories

Human intuition allows to detect abnormal driving scenarios in situation...

0 Julian Wiederer, et al. ∙

research

∙ 08/08/2022

Extrinsic Camera Calibration with Semantic Segmentation

Monocular camera sensors are vital to intelligent vehicle operation and ...

10 Alexander Tsaregorodtsev, et al. ∙

research

∙ 08/03/2022

Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation

Deep neural networks currently deliver promising results for microscopy ...

12 Youssef Dawoud, et al. ∙

research

∙ 08/03/2022

Gradient-based Uncertainty for Monocular Depth Estimation

In monocular depth estimation, disturbances in the image context, like m...

17 Julia Hornauer, et al. ∙

research

∙ 07/01/2022

MotionMixer: MLP-based 3D Human Body Pose Forecasting

In this work, we present MotionMixer, an efficient 3D human body pose fo...

6 Arij Bouazizi, et al. ∙

research

∙ 04/25/2022

A Spatio-Temporal Multilayer Perceptron for Gesture Recognition

Gesture recognition is essential for the interaction of autonomous vehic...

4 Adrian Holzbock, et al. ∙

research

∙ 03/28/2022

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

3D medical image segmentation methods have been successful, but their de...

9 Yuyuan Liu, et al. ∙

research

∙ 03/08/2022

Lightweight Monocular Depth Estimation through Guided Decoding

We present a lightweight encoder-decoder architecture for monocular dept...

4 Michael Rudolph, et al. ∙

research

∙ 02/09/2022

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping

A common approach for modeling the environment of an autonomous vehicle ...

0 Marcel Schreiber, et al. ∙

research

∙ 11/25/2021

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification

Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...

21 Fengbei Liu, et al. ∙

research

∙ 11/25/2021

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

Consistency learning using input image, feature, or network perturbation...

7 Yuyuan Liu, et al. ∙

research

∙ 10/22/2021

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels

The most competitive noisy label learning methods rely on an unsupervise...

10 Filipe R. Cordeiro, et al. ∙

research

∙ 10/15/2021

Anomaly Detection in Multi-Agent Trajectories for Automated Driving

Human drivers can recognise fast abnormal driving situations to avoid ac...

11 Julian Wiederer, et al. ∙

research

∙ 10/14/2021

Learning Temporal 3D Human Pose Estimation with Pseudo-Labels

We present a simple, yet effective, approach for self-supervised 3D huma...

6 Arij Bouazizi, et al. ∙

research

∙ 09/18/2021

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation

The lack of sufficient annotated image data is a common issue in medical...

16 Anastasia Makarevich, et al. ∙

research

∙ 08/17/2021

Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry

We present a self-supervised learning algorithm for 3D human pose estima...

9 Arij Bouazizi, et al. ∙

research

∙ 08/05/2021

Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware

Real-world perception systems in many cases build on hardware with limit...

1 Julia Hornauer, et al. ∙

research

∙ 07/16/2021

Attention-based Vehicle Self-Localization with HD Feature Maps

We present a vehicle self-localization method using point-based deep neu...

8 Nico Engel, et al. ∙

research

∙ 06/16/2021

ParticleAugment: Sampling-Based Data Augmentation

We present an automated data augmentation approach for image classificat...

7 Alexander Tsaregorodtsev, et al. ∙

research

∙ 03/21/2021

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

In this paper, we address the problem of training deep neural networks i...

4 Ragav Sachdeva, et al. ∙

research

∙ 03/06/2021

LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment

Deep neural network models are robust to a limited amount of label noise...

18 Filipe R. Cordeiro, et al. ∙

research

∙ 03/06/2021

Noisy Label Learning for Large-scale Medical Image Classification

The classification accuracy of deep learning models depends not only on ...

15 Fengbei Liu, et al. ∙

research

∙ 03/05/2021

Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

The training of deep learning models generally requires a large amount o...

9 Fengbei Liu, et al. ∙

research

∙ 11/17/2020

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks

Modeling and understanding the environment is an essential task for auto...

0 Marcel Schreiber, et al. ∙

research

∙ 11/11/2020

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels

The efficacy of deep learning depends on large-scale data sets that have...

6 Ragav Sachdeva, et al. ∙

research

∙ 11/02/2020

Point Transformer

In this work, we present Point Transformer, a deep neural network that o...

79 Nico Engel, et al. ∙

research

∙ 07/31/2020

Traffic Control Gesture Recognition for Autonomous Vehicles

A car driver knows how to react on the gestures of the traffic officers....

12 Julian Wiederer, et al. ∙

research

∙ 07/22/2020

DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration

This work addresses the problem of point cloud registration using deep n...

5 Markus Horn, et al. ∙

research

∙ 06/29/2020

Few-Shot Microscopy Image Cell Segmentation

Automatic cell segmentation in microscopy images works well with the sup...

41 Youssef Dawoud, et al. ∙

research

∙ 11/05/2019

LACI: Low-effort Automatic Calibration of Infrastructure Sensors

Sensor calibration usually is a time consuming yet important task. While...

17 Johannes Müller, et al. ∙

research

∙ 09/25/2019

Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks

In this work, we tackle the problem of modeling the vehicle environment ...

0 Marcel Schreiber, et al. ∙

research

∙ 07/31/2019

Few-Shot Meta-Denoising

We study the problem of learning-based denoising where the training set ...

2 Leslie Casas, et al. ∙

research

∙ 04/18/2019

DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks

We address the problem of landmark-based vehicle self-localization by re...

1 Nico Engel, et al. ∙

research

∙ 01/07/2019

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets

In this work, we explore the correlation between people trajectories and...

0 Irtiza Hasan, et al. ∙

research

∙ 12/20/2018

Adversarial Signal Denoising with encoder-decoder networks

In this work, we treat the task of signal denoising as distribution alig...

0 Leslie Casas, et al. ∙

research

∙ 03/28/2018

Adversarial Network Compression

Neural network compression has recently received much attention due to t...

1 Vasileios Belagiannis, et al. ∙

research

∙ 06/01/2016

Deeper Depth Prediction with Fully Convolutional Residual Networks

This paper addresses the problem of estimating the depth map of a scene ...

0 Iro Laina, et al. ∙

Vasileios Belagiannis

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