Hi, I'm Hermann. I work as a PostDoc in the Computer Vision and Geometry Lab of ETH Zürich. For my PhD I was part of the Autonomous Systems Lab at ETH Zürich.
My research focuses on robotic perception. I strive to build robots that can understand their environment semantically and geometrically, in order to perform manipulation and other safety critical tasks in proximity to humans.
hermannsblumhermannsblum@hermann@sigmoid.social
Visit the CVG website for available student projects and latest updates from my colleagues.
Here are my recent works:
fully automatic labels on the quality level of ScanNet
LabelMaker: Automatic Semantic Label Generation from RGB-D Trajectories
S Weder*, H Blum*, F Engelmann, M Pollefeys
fully automatic labels on the quality level of ScanNet
A 3D Mixed Reality Interface for Human-Robot Teaming
J Chen, B Sun, M Pollefeys, H Blum
Unsupervised Continual Semantic Adaptation through Neural Rendering
Z Liu, F Milano, J Frey, R Siegwart, H Blum, C Cadena
Uncertainty Estimation for Planetary Robotic Terrain Segmentation
MG Müller, M Durner, W Boerdijk, H Blum, A Gawel, W Stürzl, R Siegwart, ...
SNI-SLAM: Semantic Neural Implicit SLAM
S Zhu, G Wang, H Blum, J Liu, L Song, M Pollefeys, H Wang
Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach
M Hanlon, B Sun, M Pollefeys, H Blum
my PhD thesis
Self-improving, Open-World Robotic Scene Understanding
H Blum
my PhD thesis
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations
J Frey, H Blum, F Milano, R Siegwart, C Cadena
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
mm-precise RGBD pointclouds
SL Sensor: An open-source, real-time and robot operating system-based structured light sensor for high accuracy construction robotic applications
TF Lam, H Blum, R Siegwart, A Gawel
mm-precise RGBD pointclouds
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
H Blum, MG Müller, A Gawel, R Siegwart, C Cadena
🏆 Best Paper at IROS 2023 WS 'Frontier Vision & Learning Techniques'
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
B Sun, J Xing, H Blum, R Siegwart, C Cadena
🏆 Best Paper at IROS 2023 WS 'Frontier Vision & Learning Techniques'
Interactive OAISYS: A photorealistic terrain simulation for robotics research
MG Müller, J Lim, L Schmid, H Blum, W Stürzl, A Gawel, R Siegwart, ...
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
R Zurbrügg, H Blum, C Cadena, R Siegwart, L Schmid
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Global Localization in Meshes
M Dreher, H Blum, R Siegwart, A Gawel
Precise Robot Localization in Architectural 3D Plans
Pixel-wise Anomaly Detection in Complex Driving Scenes
G Di Biase*, H Blum*, R Siegwart, C Cadena
Our new concept for robots that learn on their own
Self-Improving Semantic Perception for Indoor Localisation
H Blum, F Milano, R Zurbrügg, R Siegwart, C Cadena, A Gawel
Our new concept for robots that learn on their own
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
R Chan*, K Lis*, S Uhlemeyer*, H Blum*, S Honari, R Siegwart, P Fua, M Salzmann, M Rottmann
Online Synchronization of Building Model for On-Site Mobile Robotic Construction
Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving
first mayor work of our interdisciplinary construction-robotics team
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
A Gawel, H Blum, J Pankert, K Krämer, L Bartolomei, S Ercan, F Farshidian, M Chli, F Gramazio, R Siegwart, M Hutter, T Sandy
first mayor work of our interdisciplinary construction-robotics team
Active Learning for UAV-based Semantic Mapping
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
H Blum*, PE Sarlin*, J Nieto, R Siegwart, C Cadena
Modular Sensor Fusion for Semantic Segmentation
H Blum, A Gawel, R Siegwart, C Cadena
Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system
Thanks to 0melapics / Freepik for the robot decorations.
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