Hermann Blum

Orcid: 0000-0002-1713-7877

According to our database1, Hermann Blum authored at least 30 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
LABELMAKER: Automatic Semantic Label Generation from RGB-D Trajectories.
CoRR, 2023

SNI-SLAM: Semantic Neural Implicit SLAM.
CoRR, 2023

Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach.
CoRR, 2023

A 3D Mixed Reality Interface for Human-Robot Teaming.
CoRR, 2023

Unsupervised Continual Semantic Adaptation Through Neural Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning.
IEEE Robotics Autom. Lett., 2022

Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations.
IEEE Robotics Autom. Lett., 2022

Unsupervised Continual Semantic Adaptation through Neural Rendering.
CoRR, 2022

SL Sensor: An Open-Source, ROS-Based, Real-Time Structured Light Sensor for High Accuracy Construction Robotic Applications.
CoRR, 2022

SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding.
Proceedings of the Robotics Research, 2022

See Yourself in Others: Attending Multiple Tasks for Own Failure Detection.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation.
Int. J. Comput. Vis., 2021

Continual Learning of Semantic Segmentation using Complementary 2D-3D Data Representations.
CoRR, 2021

Self-Improving Semantic Perception on a Construction Robot.
CoRR, 2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Pixel-Wise Anomaly Detection in Complex Driving Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Improving Semantic Perception for Indoor Localisation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes.
IEEE Robotics Autom. Lett., 2020

Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.
CoRR, 2020

Precise Robot Localization in Architectural 3D Plans.
CoRR, 2020

Fast and Accurate Mapping for Autonomous Racing.
CoRR, 2020

Accurate Mapping and Planning for Autonomous Racing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity.
CoRR, 2019

Active Learning for UAV-based Semantic Mapping.
CoRR, 2019

A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous Driving.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Modular Sensor Fusion for Semantic Segmentation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System.
Frontiers Neurorobotics, 2017

A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor.
Proceedings of the Robotics: Science and Systems XIII, 2017

Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017


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