Rudolph Triebel

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 123

Top Venues

CoRR

IROS

ICRA

IEEE Robotics Autom. Lett.

University of Freiburg (PHD)

Education History

University of Freiburg

PHD

Publications

Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
A Flow-based Credibility Metric for Safety-critical Pedestrian Detection. CoRR (2024)
Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving. CoRR (2024)
Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRR (2023)
Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR (2023)
Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR (2023)
Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. IROS (2023)
Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel
Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking. IROS (2023)
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
Out-of-Distribution Detection for Adaptive Computer Vision. CoRR (2023)
Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel
Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking. CoRR (2023)
Jongseok Lee, W. F. J. Olsman, Rudolph Triebel
Learning Fluid Flow Visualizations From In-Flight Images With Tufts. IEEE Robotics Autom. Lett. 8 (6) (2023)
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. ICML (2023)
Florian Steidle, Simon Boche, Wolfgang Stürzl, Rudolph Triebel
A Temporal Perspective n-Point Problem with Model Uncertainties for Cooperative Pose Estimation in a Heterogeneous Robot Team. ECMR (2023)
Dominik Winkelbauer, Berthold Bäuml, Rudolph Triebel
Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand. IROS (2023)
Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu
Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. IGARSS (2023)
Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS (2023)
Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel
BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. 8 (83) (2023)
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
Out-of-Distribution Detection for Adaptive Computer Vision. SCIA (2) (2023)
Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. CoRR (2023)
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. CoRR (2023)
Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRL (2023)
Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics 3 (1) (2023)
Maximilian Denninger, Rudolph Triebel
3D Semantic Scene Reconstruction from a Single Viewport. IMPROVE (2023)
Alejandro Fontán, Riccardo Giubilato, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM. IEEE Robotics Autom. Lett. 8 (10) (2023)
Marco Sewtz, Yunis Fanger, Xiaozhou Luo, Tim Bodenmüller, Rudolph Triebel
IndoorMCD: A Benchmark for Low-Cost Multi-Camera SLAM in Indoor Environments. IEEE Robotics Autom. Lett. 8 (3) (2023)
Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus H. Strobl, Rudolph Triebel
An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World. Int. J. Comput. Vis. 130 (4) (2022)
Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CoRR (2022)
Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
Model for Multi-View Residual Covariances Based on Perspective Deformation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
Towards Safety-Aware Pedestrian Detection in Autonomous Systems. IROS (2022)
Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel
Challenges of SLAM in Extremely Unstructured Environments: The DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset. IEEE Robotics Autom. Lett. 7 (4) (2022)
Lukas Meyer, Klaus H. Strobl, Rudolph Triebel
The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion. IROS (2022)
Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CVPR (2022)
Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel
A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS (2022)
Cedrique Rovile Njieutcheu Tassi, Anko Börner, Rudolph Triebel
Regularization Strength Impact on Neural Network Ensembles. ACAI (2022)
Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. ICRA (2022)
Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR (2022)
Markus Knauer, Maximilian Denninger, Rudolph Triebel
RECALL: Rehearsal-free Continual Learning for Object Classification. CoRR (2022)
Markus Knauer, Maximilian Denninger, Rudolph Triebel
RECALL: Rehearsal-free Continual Learning for Object Classification. IROS (2022)
Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk, Rudolph Triebel
A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures. CoRR (2022)
Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel
The impact of averaging logits over probabilities on ensembles of neural networks. AISafety@IJCAI (2022)
Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel
Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset. CoRR (2022)
Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS (2022)
Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa A. Vidal-Calleja, Rudolph Triebel
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps. Field Robotics 2 (1) (2022)
Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
A Model for Multi-View Residual Covariances based on Perspective Deformation. CoRR (2022)
Hsuan-Cheng Liao, Riccardo Giubilato, Wolfgang Stürzl, Rudolph Triebel
Learning-Based Matching of 3D Submaps from Dense Stereo for Planetary-Like Environments. ICAR (2021)
Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel
Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. CoRR (2021)
Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains. CVPR Workshops (2021)
Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. CoRR (2021)
Marcus Gerhard Müller, M. Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel, Roland Siegwart
A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. IROS (2021)
Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel
DOT: Dynamic Object Tracking for Visual SLAM. ICRA (2021)
Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR (2021)
Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR (2021)
Marco Sewtz, Xiaozhou Luo, Johannes Landgraf, Tim Bodenmüller, Rudolph Triebel
Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments. ICARA (2021)
Lukas Meyer, Michal Smísek, Alejandro Fontan Villacampa, Laura Oliva-Maza, Daniel Medina, Martin J. Schuster, Florian Steidle, Mallikarjuna Vayugundla, Marcus Gerhard Müller, Bernhard Rebele, Armin Wedler, Rudolph Triebel
The MADMAX data set for visual-inertial rover navigation on Mars. J. Field Robotics 38 (6) (2021)
Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel
Learning to Localize in New Environments from Synthetic Training Data. ICRA (2021)
Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. CoRR (2021)
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. ICRA (2021)
Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World. CoRR (2021)
Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel
Unknown Object Segmentation from Stereo Images. CoRR (2021)
Hannah Lehner, Martin J. Schuster, Tim Bodenmüller, Rudolph Triebel
Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making. ICRA (2021)
Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. IROS (2021)
Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
Making Curiosity Explicit in Vision-based RL. CoRR (2021)
Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa A. Vidal-Calleja, Rudolph Triebel
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps. CoRR (2021)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
A Survey of Uncertainty in Deep Neural Networks. CoRR (2021)
Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR (2021)
Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes. ICCVW (2021)
Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL (2021)
Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel
Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. IROS (2021)
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. CoRR (2021)
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. ICRA (2021)
Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel
Unknown Object Segmentation from Stereo Images. IROS (2021)
Marco Sewtz, Tim Bodenmüller, Rudolph Triebel
Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments. IROS (2020)
Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
Effective Version Space Reduction for Convolutional Neural Networks. ECML/PKDD (2) (2020)
Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus H. Strobl, Rudolph Triebel
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks. CoRR (2020)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML (2020)
Matthias Humt, Jongseok Lee, Rudolph Triebel
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR (2020)
Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak
Visual-Inertial Telepresence for Aerial Manipulation. CoRR (2020)
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRR (2020)
Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking. ACCV (2) (2020)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR (2020)
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. CoRR (2020)
Philipp Lutz, Marcus Gerhard Müller, Moritz Maier, Samantha Stoneman, Teodor Tomic, Ingo von Bargen, Martin J. Schuster, Florian Steidle, Armin Wedler, Wolfgang Stürzl, Rudolph Triebel
ARDEA - An MAV with skills for future planetary missions. J. Field Robotics 37 (4) (2020)
Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai Oliver Arras, Rudolph Triebel
Multi-Path Learning for Object Pose Estimation Across Domains. CVPR (2020)
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR (2020)
Alejandro Fontán, Javier Civera, Rudolph Triebel
Information-Driven Direct RGB-D Odometry. CVPR (2020)
Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
Effective Version Space Reduction for Convolutional Neural Networks. CoRR (2020)
Maximilian Denninger, Rudolph Triebel
3D Scene Reconstruction from a Single Viewport. ECCV (22) (2020)
Martin J. Schuster, Marcus Gerhard Müller, Sebastian G. Brunner, Hannah Lehner, Peter Lehner, Ryo Sakagami, Andreas Dömel, Lukas Meyer, Bernhard Vodermayer, Riccardo Giubilato, Mallikarjuna Vayugundla, Josef Reill, Florian Steidle, Ingo von Bargen, Kristin Bussmann, Rico Belder, Philipp Lutz, Wolfgang Stürzl, Michal Smísek, Moritz Maier, Samantha Stoneman, Andre Fonseca Prince, Bernhard Rebele, Maximilian Durner, Emanuel Staudinger, Siwei Zhang, Robert Pöhlmann, Esther Bischoff, Christian Braun, Susanne Schröder, Enrico Dietz, Sven Frohmann, Anko Börner, Heinz-Wilhelm Hübers, Bernard Foing, Rudolph Triebel, Alin Olimpiu Albu-Schäffer, Armin Wedler
The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration. IEEE Robotics Autom. Lett. 5 (4) (2020)
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
Non-Parametric Calibration for Classification. AISTATS (2020)
Lukas Meyer, Klaus H. Strobl, Rudolph Triebel
Robust Vision-Based Pose Correction for a Robotic Manipulator Using Active Markers. ISER (2020)
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. CoRR (2020)
Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR (2020)
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. IROS (2020)
Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak
Visual-Inertial Telepresence for Aerial Manipulation. ICRA (2020)
Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel
Learning to Localize in New Environments from Synthetic Training Data. CoRR (2020)
Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel
DOT: Dynamic Object Tracking for Visual SLAM. CoRR (2020)
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. Int. J. Comput. Vis. 128 (3) (2020)
Felix Schiel, Annette Hagengruber, Jörn Vogel, Rudolph Triebel
Incremental learning of EMG-based control commands using Gaussian Processes. CoRL (2020)
Riccardo Giubilato, Mallikarjuna Vayugundla, Martin J. Schuster, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel, Stefano Debei
Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras. IEEE Robotics Autom. Lett. 5 (2) (2020)
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRL (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rudolph Triebel