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08/17/2023
Pedestrian Environment Model for Automated Driving
Besides interacting correctly with other vehicles, automated vehicles sh...
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08/11/2023
Out-of-Distribution Detection for Monocular Depth Estimation
In monocular depth estimation, uncertainty estimation approaches mainly ...
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08/09/2023
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
Generalisation of deep neural networks becomes vulnerable when distribut...
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08/03/2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction
Despite the significant research efforts on trajectory prediction for au...
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06/23/2023
Automated Automotive Radar Calibration With Intelligent Vehicles
While automotive radar sensors are widely adopted and have been used for...
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06/22/2023
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
Model compression techniques reduce the computational load and memory co...
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04/21/2023
Automated Static Camera Calibration with Intelligent Vehicles
Connected and cooperative driving requires precise calibration of the ro...
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04/12/2023
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction
It is desirable to predict the behavior of traffic participants conditio...
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03/14/2023
Localizing Spatial Information in Neural Spatiospectral Filters
Beamforming for multichannel speech enhancement relies on the estimation...
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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...
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12/06/2022
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Graph neural networks have shown to learn effective node representations...
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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...
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11/15/2022
Heatmap-based Out-of-Distribution Detection
Our work investigates out-of-distribution (OOD) detection as a neural ne...
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09/05/2022
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories
Human intuition allows to detect abnormal driving scenarios in situation...
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08/08/2022
Extrinsic Camera Calibration with Semantic Segmentation
Monocular camera sensors are vital to intelligent vehicle operation and ...
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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 ...
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08/03/2022
Gradient-based Uncertainty for Monocular Depth Estimation
In monocular depth estimation, disturbances in the image context, like m...
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07/01/2022
MotionMixer: MLP-based 3D Human Body Pose Forecasting
In this work, we present MotionMixer, an efficient 3D human body pose fo...
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04/25/2022
A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
Gesture recognition is essential for the interaction of autonomous vehic...
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03/28/2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
3D medical image segmentation methods have been successful, but their de...
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03/08/2022
Lightweight Monocular Depth Estimation through Guided Decoding
We present a lightweight encoder-decoder architecture for monocular dept...
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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 ...
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11/25/2021
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification
Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...
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11/25/2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Consistency learning using input image, feature, or network perturbation...
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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...
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10/15/2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Human drivers can recognise fast abnormal driving situations to avoid ac...
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10/14/2021
Learning Temporal 3D Human Pose Estimation with Pseudo-Labels
We present a simple, yet effective, approach for self-supervised 3D huma...
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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...
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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...
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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...
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07/16/2021
Attention-based Vehicle Self-Localization with HD Feature Maps
We present a vehicle self-localization method using point-based deep neu...
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06/16/2021
ParticleAugment: Sampling-Based Data Augmentation
We present an automated data augmentation approach for image classificat...
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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...
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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...
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03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
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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...
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11/17/2020
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
Modeling and understanding the environment is an essential task for auto...
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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...
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11/02/2020
Point Transformer
In this work, we present Point Transformer, a deep neural network that o...
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07/31/2020
Traffic Control Gesture Recognition for Autonomous Vehicles
A car driver knows how to react on the gestures of the traffic officers....
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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...
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06/29/2020
Few-Shot Microscopy Image Cell Segmentation
Automatic cell segmentation in microscopy images works well with the sup...
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11/05/2019
LACI: Low-effort Automatic Calibration of Infrastructure Sensors
Sensor calibration usually is a time consuming yet important task. While...
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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 ...
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07/31/2019
Few-Shot Meta-Denoising
We study the problem of learning-based denoising where the training set ...
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04/18/2019
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
We address the problem of landmark-based vehicle self-localization by re...
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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...
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12/20/2018
Adversarial Signal Denoising with encoder-decoder networks
In this work, we treat the task of signal denoising as distribution alig...
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03/28/2018
Adversarial Network Compression
Neural network compression has recently received much attention due to t...
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06/01/2016