Rudolph Triebel

197 papers A* 34A 30B 1C 4Misc 7Journal 86Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception. CoRR Sebastian Jung, Leonard Klüpfel, Rudolph Triebel, Maximilian Durner
2026	J	`jnl`	GPify: Leveraging the Combined Strength of Normalizing Flow and Softmax For an Out-of-Distribution aware Confidence Score. Int. J. Comput. Vis. Simon Kristoffersson Lind, Rudolph Triebel, Volker Krüger
2026	J	`jnl`	Markerless Robot Detection and 6D Pose Estimation for Multi-Agent SLAM. CoRR Markus Rueggeberg, Maximilian Ulmer, Maximilian Durner, Wout Boerdijk, Marcus Gerhard Müller, Rudolph Triebel, Riccardo Giubilato
2026	J	`jnl`	SPIRIT: Perceptive Shared Autonomy for Robust Robotic Manipulation under Deep Learning Uncertainty. CoRR Jongseok Lee, Ribin Balachandran, Harsimran Singh, Jianxiang Feng, Hrishik Mishra, Marco De Stefano, Rudolph Triebel, Alin Albu-Schäffer, Konstantin Kondak
2026	J	`jnl`	The S3LI Vulcano Dataset: A Dataset for Multi-Modal SLAM in Unstructured Planetary Environments. CoRR Riccardo Giubilato, Marcus Gerhard Müller, Marco Sewtz, Laura Alejandra Encinar Gonzalez, John Folkesson, Rudolph Triebel
2026	J	`jnl`	Tracing Back Error Sources to Explain and Mitigate Pose Estimation Failures. CoRR Loris Schneider, Yitian Shi, Rosa Wolf, Carolin Brenner, Rudolph Triebel, Rania Rayyes
2025	J	`jnl`	CLEVER: Stream-Based Active Learning for Robust Semantic Perception From Human Instructions. IEEE Robotics Autom. Lett. Jongseok Lee, Timo Birr, Rudolph Triebel, Tamim Asfour
2025	J	`jnl`	CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions. CoRR Jongseok Lee, Timo Birr, Rudolph Triebel, Tamim Asfour
2025	J	`jnl`	Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation. CoRR Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel, Maximilian Durner
2025	J	`jnl`	Door-to-Door Parcel Delivery From Supply Point to User's Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon. IEEE Robotics Autom. Mag. Alejandro Suárez, Rainer Kartmann, Daniel Leidner, Luca Rossini, Johann Huber, Carlos Azevedo, Quentin Rouxel, Marko Bjelonic, Antonio González-Morgado, Christian R. G. Dreher, Peter Schmaus, Arturo Laurenzi, François Hélénon, Rodrigo Serra, Jean-Baptiste Mouret, Lorenz Wellhausen, Vicente Perez-Sanchez, Jianfeng Gao, Adrian Simon Bauer, Alessio De Luca, Mouad Abrini, Rui Bettencourt, Olivier Rochel, Joonho Lee, Pablo Viana, Christoph Pohl, Nesrine Batti, Diego Vedelago, Vamsi Krishna Guda, Alexander Reske, Carlos Álvarez-Cía, Fabian Reister, Werner Friedl, Corrado Burchielli, Aline Baudry, Fabian Peller-Konrad, Thomas Gumpert, Luca Muratore, Philippe Gauthier, Franziska Krebs, Sebastian Jung, Lorenzo Baccelliere, Hippolyte Watrelot, André Meixner, Anne Köpken, Mohamed Chetouani, Pascal Weiner, Florian Lay, Felix Hundhausen, Anne E. Reichert, Noémie Jaquier, Florian Schmidt, Marco Sewtz, Freek Stulp, Lioba Suchenwirth, Rudolph Triebel, Xuwei Wu, Begoña C. Arrue, Rebecca Schedl-Warpup, Marco Hutter, Serena Ivaldi, Pedro U. Lima, Stéphane Doncieux, Nikos G. Tsagarakis, Tamim Asfour, Aníbal Ollero, Alin Albu-Schäffer
2025	J	`jnl`	Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image. CoRR Matthias Humt, Ulrich Hillenbrand, Rudolph Triebel
2025	J	`jnl`	Human-Interpretable Uncertainty Explanations for Point Cloud Registration. CoRR Johannes A. Gaus, Loris Schneider, Yitian Shi, Jongseok Lee, Rania Rayyes, Rudolph Triebel
2025	—	`conf`	KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy. MICCAI (9) Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus H. Strobl, Arkadiusz Miernik, Rudolph Triebel
2025	J	`jnl`	Multi-modal Loop Closure Detection with Foundation Models in Severely Unstructured Environments. CoRR Laura Alejandra Encinar Gonzalez, John Folkesson, Rudolph Triebel, Riccardo Giubilato
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part I GCPR (1) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II GCPR (2) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	J	`jnl`	Seeing Through Uncertainty: Robot Pose Estimation Based on Imperfect Prior Kinematic Knowledge. IEEE Trans. Robotics Leonard Klüpfel, Lukas Burkhard, Anne E. Reichert, Maximilian Durner, Rudolph Triebel
2025	A*	`conf`	Single-Shot Metric Depth from Focused Plenoptic Cameras. ICRA Blanca Lasheras-Hernandez, Klaus H. Strobl, Sergio Izquierdo, Tim Bodenmüller, Rudolph Triebel, Javier Civera
2025	A*	`conf`	Towards Autonomous Data Annotation and System-Agnostic Robotic Grasping Benchmarking with 3D-Printed Fixtures. ICRA Wout Boerdijk, Maximilian Durner, Ryo Sakagami, Peter Lehner, Rudolph Triebel
2024	—	`conf`	A Flow-Based Credibility Metric for Safety-Critical Pedestrian Detection. SAFECOMP (Workshops) Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
2024	J	`jnl`	A Flow-based Credibility Metric for Safety-critical Pedestrian Detection. CoRR Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
2024	A	`conf`	A Learning-based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand. IROS Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml
2024	J	`jnl`	A Learning-based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand. CoRR Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml
2024	J	`jnl`	A Safety-Adapted Loss for Pedestrian Detection in Automated Driving. CoRR Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
2024	A*	`conf`	A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving. ICRA Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
2024	J	`jnl`	FFHFlow: A Flow-based Variational Approach for Multi-fingered Grasp Synthesis in Real Time. CoRR Qian Feng, Jianxiang Feng, Zhaopeng Chen, Rudolph Triebel, Alois Knoll
2024	J	`jnl`	How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit? CoRR Maximilian Ulmer, Leonard Klüpfel, Maximilian Durner, Rudolph Triebel
2024	A	`conf`	Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients. IROS Simon Kristoffersson Lind, Rudolph Triebel, Volker Krüger
2024	J	`jnl`	Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients. CoRR Simon Kristoffersson Lind, Rudolph Triebel, Volker Krüger
2024	J	`jnl`	Single-Shot Metric Depth from Focused Plenoptic Cameras. CoRR Blanca Lasheras-Hernandez, Klaus H. Strobl, Sergio Izquierdo, Tim Bodenmüller, Rudolph Triebel, Javier Civera
2024	J	`jnl`	Towards Explaining Uncertainty Estimates in Point Cloud Registration. CoRR Ziyuan Qin, Jongseok Lee, Rudolph Triebel
2024	A*	`conf`	Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments. ICRA Alberto García-Hernández, Riccardo Giubilato, Klaus H. Strobl, Javier Civera, Rudolph Triebel
2024	J	`jnl`	Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments. CoRR Alberto García-Hernández, Riccardo Giubilato, Klaus H. Strobl, Javier Civera, Rudolph Triebel
2023	—	`conf`	3D Semantic Scene Reconstruction from a Single Viewport. IMPROVE Maximilian Denninger, Rudolph Triebel
2023	A	`conf`	6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. IROS Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
2023	J	`jnl`	6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. CoRR Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
2023	—	`conf`	A Temporal Perspective n-Point Problem with Model Uncertainties for Cooperative Pose Estimation in a Heterogeneous Robot Team. ECMR Florian Steidle, Simon Boche, Wolfgang Stürzl, Rudolph Triebel
2023	J	`jnl`	A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 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, Xiaoxiang Zhu
2023	J	`jnl`	An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus H. Strobl, Rudolph Triebel
2023	J	`jnl`	BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel
2023	J	`jnl`	Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel
2023	A	`conf`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2023	J	`jnl`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2023	A	`conf`	Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking. IROS Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel
2023	J	`jnl`	Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking. CoRR Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel
2023	J	`jnl`	IndoorMCD: A Benchmark for Low-Cost Multi-Camera SLAM in Indoor Environments. IEEE Robotics Autom. Lett. Marco Sewtz, Yunis Fanger, Xiaozhou Luo, Tim Bodenmüller, Rudolph Triebel
2023	A*	`conf`	Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. ICML Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
2023	J	`jnl`	Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. CoRR Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
2023	J	`jnl`	Learning Fluid Flow Visualizations From In-Flight Images With Tufts. IEEE Robotics Autom. Lett. Jongseok Lee, W. F. J. Olsman, Rudolph Triebel
2023	A	`conf`	Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand. IROS Dominik Winkelbauer, Berthold Bäuml, Rudolph Triebel
2023	—	`conf`	Out-of-Distribution Detection for Adaptive Computer Vision. SCIA (2) Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
2023	J	`jnl`	Out-of-Distribution Detection for Adaptive Computer Vision. CoRR Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
2023	J	`jnl`	SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM. IEEE Robotics Autom. Lett. Alejandro Fontán, Riccardo Giubilato, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
2023	Misc	`conf`	Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRL Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
2023	J	`jnl`	Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRR Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
2023	C	`conf`	Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. IGARSS Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu
2023	J	`jnl`	Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2022	J	`jnl`	A Model for Multi-View Residual Covariances based on Perspective Deformation. CoRR Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
2022	J	`jnl`	A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures. CoRR Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk, Rudolph Triebel
2022	A	`conf`	A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel
2022	A	`conf`	Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2022	J	`jnl`	Challenges of SLAM in Extremely Unstructured Environments: The DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset. IEEE Robotics Autom. Lett. Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel
2022	J	`jnl`	Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset. CoRR Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel
2022	J	`jnl`	GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps. Field Robotics Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa A. Vidal-Calleja, Rudolph Triebel
2022	A*	`conf`	Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CVPR Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
2022	J	`jnl`	Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CoRR Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
2022	J	`jnl`	Model for Multi-View Residual Covariances Based on Perspective Deformation. IEEE Robotics Autom. Lett. Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel
2022	A	`conf`	RECALL: Rehearsal-free Continual Learning for Object Classification. IROS Markus Knauer, Maximilian Denninger, Rudolph Triebel
2022	J	`jnl`	RECALL: Rehearsal-free Continual Learning for Object Classification. CoRR Markus Knauer, Maximilian Denninger, Rudolph Triebel
2022	—	`conf`	Regularization Strength Impact on Neural Network Ensembles. ACAI Cedrique Rovile Njieutcheu Tassi, Anko Börner, Rudolph Triebel
2022	J	`jnl`	SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World. Int. J. Comput. Vis. Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
2022	A*	`conf`	Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. ICRA Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2022	A	`conf`	The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion. IROS Lukas Meyer, Klaus H. Strobl, Rudolph Triebel
2022	—	`conf`	The impact of averaging logits over probabilities on ensembles of neural networks. AISafety@IJCAI Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel
2022	A	`conf`	Towards Safety-Aware Pedestrian Detection in Autonomous Systems. IROS Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
2022	J	`jnl`	Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2021	A*	`conf`	"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. ICRA Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2021	A	`conf`	A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. IROS Marcus Gerhard Müller, Maximilian Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel, Roland Siegwart
2021	J	`jnl`	A Survey of Uncertainty in Deep Neural Networks. CoRR 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
2021	J	`jnl`	Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2021	A*	`conf`	Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. ICRA Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
2021	J	`jnl`	Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. CoRR Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
2021	A*	`conf`	DOT: Dynamic Object Tracking for Visual SLAM. ICRA Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel
2021	A*	`conf`	Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making. ICRA Hannah Lehner, Martin J. Schuster, Tim Bodenmüller, Rudolph Triebel
2021	—	`conf`	From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains. CVPR Workshops Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
2021	J	`jnl`	GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps. CoRR Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa A. Vidal-Calleja, Rudolph Triebel
2021	—	`conf`	Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes. ICCVW Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
2021	J	`jnl`	Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
2021	A*	`conf`	Learning to Localize in New Environments from Synthetic Training Data. ICRA Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel
2021	—	`conf`	Learning-Based Matching of 3D Submaps from Dense Stereo for Planetary-Like Environments. ICAR Hsuan-Cheng Liao, Riccardo Giubilato, Wolfgang Stürzl, Rudolph Triebel
2021	J	`jnl`	Making Curiosity Explicit in Vision-based RL. CoRR Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2021	A	`conf`	Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. IROS Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel
2021	J	`jnl`	Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. CoRR Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel
2021	—	`conf`	Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments. ICARA Marco Sewtz, Xiaozhou Luo, Johannes Landgraf, Tim Bodenmüller, Rudolph Triebel
2021	J	`jnl`	SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World. CoRR Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
2021	J	`jnl`	Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. CoRR Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2021	J	`jnl`	The MADMAX data set for visual-inertial rover navigation on Mars. J. Field Robotics 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
2021	A	`conf`	Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. IROS Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
2021	J	`jnl`	Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. CoRR Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
2021	Misc	`conf`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2021	J	`jnl`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2021	A	`conf`	Unknown Object Segmentation from Stereo Images. IROS Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel
2021	J	`jnl`	Unknown Object Segmentation from Stereo Images. CoRR Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel
2020	J	`jnl`	"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. CoRR Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	—	`conf`	3D Scene Reconstruction from a Single Viewport. ECCV (22) Maximilian Denninger, Rudolph Triebel
2020	—	`conf`	A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking. ACCV (2) Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
2020	J	`jnl`	ARDEA - An MAV with skills for future planetary missions. J. Field Robotics 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
2020	J	`jnl`	Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. Int. J. Comput. Vis. Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR Matthias Humt, Jongseok Lee, Rudolph Triebel
2020	J	`jnl`	DOT: Dynamic Object Tracking for Visual SLAM. CoRR Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel
2020	—	`conf`	Effective Version Space Reduction for Convolutional Neural Networks. ECML/PKDD (2) Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2020	J	`jnl`	Effective Version Space Reduction for Convolutional Neural Networks. CoRR Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2020	A*	`conf`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2020	J	`jnl`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2020	A	`conf`	Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. IROS Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel
2020	J	`jnl`	Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. CoRR Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel
2020	Misc	`conf`	Incremental learning of EMG-based control commands using Gaussian Processes. CoRL Felix Schiel, Annette Hagengruber, Jörn Vogel, Rudolph Triebel
2020	A*	`conf`	Information-Driven Direct RGB-D Odometry. CVPR Alejandro Fontán, Javier Civera, Rudolph Triebel
2020	J	`jnl`	Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel
2020	J	`jnl`	Learning to Localize in New Environments from Synthetic Training Data. CoRR Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel
2020	A*	`conf`	Multi-Path Learning for Object Pose Estimation Across Domains. CVPR Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel
2020	A	`conf`	Non-Parametric Calibration for Classification. AISTATS Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
2020	J	`jnl`	Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras. IEEE Robotics Autom. Lett. Riccardo Giubilato, Mallikarjuna Vayugundla, Martin J. Schuster, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel, Stefano Debei
2020	A	`conf`	Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments. IROS Marco Sewtz, Tim Bodenmüller, Rudolph Triebel
2020	—	`conf`	Robust Vision-Based Pose Correction for a Robotic Manipulator Using Active Markers. ISER Lukas Meyer, Klaus H. Strobl, Rudolph Triebel
2020	J	`jnl`	Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks. CoRR Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus H. Strobl, Rudolph Triebel
2020	Misc	`conf`	Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRL Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRR Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Soeren 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
2020	J	`jnl`	The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration. IEEE Robotics Autom. Lett. 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
2020	A*	`conf`	Visual-Inertial Telepresence for Aerial Manipulation. ICRA Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak
2020	J	`jnl`	Visual-Inertial Telepresence for Aerial Manipulation. CoRR Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak
2019	J	`jnl`	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. CoRR Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
2019	C	`conf`	Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. ISRR Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel
2019	J	`jnl`	Multi-path Learning for Object Pose Estimation Across Domains. CoRR Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel
2019	J	`jnl`	Non-Parametric Calibration for Classification. CoRR Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
2019	A*	`conf`	Visual Repetition Sampling for Robot Manipulation Planning. ICRA En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, Alin Albu-Schäffer
2018	—	`conf`	6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data. ISER Manuel Brucker, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Martin Sundermeyer, Rudolph Triebel
2018	A	`conf`	Appearance-Based Along-Route Localization for Planetary Missions. IROS Iris Lynne Grixa, Philipp Schulz, Wolfgang Stürzl, Rudolph Triebel
2018	—	`conf`	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. ECCV (6) Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
2018	A	`conf`	Incremental Semi-Supervised Learning from Streams for Object Classification. IROS Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers, Rudolph Triebel
2018	A	`conf`	Persistent Anytime Learning of Objects from Unseen Classes. IROS Maximilian Denninger, Rudolph Triebel
2018	A*	`conf`	Semantic Labeling of Indoor Environments from 3D RGB Maps. ICRA Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel
2018	—	`conf`	Simultaneous Calibration and Mapping. ISER Christian Nissler, Maximilian Durner, Zoltán-Csaba Márton, Rudolph Triebel
2017	A	`conf`	A method for hand-eye and camera-to-camera calibration for limited fields of view. IROS Christian Nissler, Zoltan-Csaba Marton, Hannes Kisner, Ulrike Thomas, Rudolph Triebel
2017	—	`conf`	Experience-based optimization of robotic perception. ICAR Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
2017	Misc	`conf`	How Robots Learn to Classify New Objects Trained from Small Data Sets. CoRL Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel
2017	A	`conf`	Selecting CNN features for online learning of 3D objects. IROS Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel
2016	J	`jnl`	Introspective classification for robot perception. Int. J. Robotics Res. Hugo Grimmett, Rudolph Triebel, Rohan Paul, Ingmar Posner
2016	J	`jnl`	Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks. CoRR Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2016	—	`conf`	Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding. ECCV (2) Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers
2016	A*	`conf`	Stream-based Active Learning for efficient and adaptive classification of 3D objects. ICRA Alexander Narr, Rudolph Triebel, Daniel Cremers
2015	A*	`conf`	Active online confidence boosting for efficient object classification. ICRA Dennis Mund, Rudolph Triebel, Daniel Cremers
2015	—	`book`	Ansätze für effizientes und autonomes Lernen in Robotik und Computersehen Rudolph Triebel
2015	—	`conf`	SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports. FSR Rudolph Triebel, Kai Oliver Arras, Rachid Alami, Lucas Beyer, Stefan Breuers, Raja Chatila, Mohamed Chetouani, Daniel Cremers, Vanessa Evers, Michelangelo Fiore, Hayley Hung, Omar A. Islas Ramírez, Michiel Joosse, Harmish Khambhaita, Tomasz Kucner, Bastian Leibe, Achim J. Lilienthal, Timm Linder, Manja Lohse, Martin Magnusson, Billy Okal, Luigi Palmieri, Umer Rafi, Marieke van Rooij, Lu Zhang
2015	A	`conf`	Semi-supervised online learning for efficient classification of objects in 3D data streams. IROS Ye Tao, Rudolph Triebel, Daniel Cremers
2014	—	`conf`	Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes. GCPR Rudolph Triebel, Jan Stühmer, Mohamed Souiai, Daniel Cremers
2014	Misc	`conf`	Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers
2014	A	`conf`	Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. BMVC Thomas Windheuser, Matthias Vestner, Emanuele Rodolà, Rudolph Triebel, Daniel Cremers
2014	J	`jnl`	Two different tools for three-dimensional mapping: DE-based scan matching and feature-based loop detection. Robotica Fernando Martín Monar, Rudolph Triebel, Luis Moreno, Roland Siegwart
2013	C	`conf`	Driven Learning for Driving: How Introspection Improves Semantic Mapping. ISRR Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner
2013	A*	`conf`	Knowing when we don't know: Introspective classification for mission-critical decision making. ICRA Hugo Grimmett, Rohan Paul, Rudolph Triebel, Ingmar Posner
2013	B	`conf`	Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. Intelligent Vehicles Symposium Paul Timothy Furgale, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Peter Mühlfellner, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien-Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Kevin Köser, Markus Beermann, Christian Hane, Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, René Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars C. Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cédric Pradalier, Roland Siegwart
2012	A*	`conf`	Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates. AAAI Rudolph Triebel, Rohan Paul, Daniela Rus, Paul M. Newman
2012	A	`conf`	Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classification. IROS Rohan Paul, Rudolph Triebel, Daniela Rus, Paul M. Newman
2011	A*	`conf`	Bayesian on-line learning of driving behaviors. ICRA Jérôme Maye, Rudolph Triebel, Luciano Spinello, Roland Siegwart
2011	C	`conf`	Unsupervised 3D Object Discovery and Categorization for Mobile Robots. ISRR Jiwon Shin, Rudolph Triebel, Roland Siegwart
2010	—	`conf`	A Bayesian Approach to Learning 3D Representations of Dynamic Environments. ISER Ralf Kästner, Nikolas Engelhard, Rudolph Triebel, Roland Siegwart
2010	A*	`conf`	A Layered Approach to People Detection in 3D Range Data. AAAI Luciano Spinello, Kai Oliver Arras, Rudolph Triebel, Roland Siegwart
2010	—	`conf`	Exploiting Repetitive Object Patterns for Model Compression and Completion. ECCV (5) Luciano Spinello, Rudolph Triebel, Dizan Vasquez, Kai Oliver Arras, Roland Siegwart
2010	A*	`conf`	Inferring the semantics of direction signs in public places. ICRA Jérôme Maye, Luciano Spinello, Rudolph Triebel, Roland Siegwart
2010	J	`jnl`	Multiclass Multimodal Detection and Tracking in Urban Environments. Int. J. Robotics Res. Luciano Spinello, Rudolph Triebel, Roland Siegwart
2010	—	`conf`	Segmentation and Unsupervised Part-based Discovery of Repetitive Objects. Robotics: Science and Systems Rudolph Triebel, Jiwon Shin, Roland Siegwart
2010	A*	`conf`	Unsupervised discovery of repetitive objects. ICRA Jiwon Shin, Rudolph Triebel, Roland Siegwart
2009	A	`conf`	Detecting pedestrians at very small scales. IROS Luciano Spinello, A. Macho, Rudolph Triebel, Roland Siegwart
2009	Misc	`conf`	Medial Features for Superpixel Segmentation. MVA David Engel, Luciano Spinello, Rudolph Triebel, Roland Siegwart, Heinrich H. Bülthoff, Cristóbal Curio
2009	—	`conf`	Multiclass Multimodal Detection and Tracking in Urban Environments FSR Luciano Spinello, Rudolph Triebel, Roland Siegwart
2008	J	`jnl`	Monte Carlo localization in outdoor terrains using multilevel surface maps. J. Field Robotics Rainer Kümmerle, Rudolph Triebel, Patrick Pfaff, Wolfram Burgard
2008	A*	`conf`	Multimodal People Detection and Tracking in Crowded Scenes. AAAI Luciano Spinello, Rudolph Triebel, Roland Siegwart
2008	A	`conf`	Multimodal detection and tracking of pedestrians in urban environments with explicit ground plane extraction. IROS Luciano Spinello, Rudolph Triebel, Roland Siegwart
2007	—	`conf`	Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps. AMS Rainer Kümmerle, Patrick Pfaff, Rudolph Triebel, Wolfram Burgard
2007	J	`jnl`	An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing. Int. J. Robotics Res. Patrick Pfaff, Rudolph Triebel, Wolfram Burgard
2007	—	`conf`	Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data. GfKl Rudolph Triebel, Óscar Martínez Mozos, Wolfram Burgard
2007	A*	`conf`	Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data. IJCAI Rudolph Triebel, Richard Schmidt, Óscar Martínez Mozos, Wolfram Burgard
2007	—	`conf`	Monte Carlo Localization in Outdoor Terrains Using Multi-Level Surface Maps. FSR Rainer Kümmerle, Rudolph Triebel, Patrick Pfaff, Wolfram Burgard
2007	—	`conf`	Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions. FSR Rudolph Triebel, Wolfram Burgard
2007	J	`jnl`	Supervised semantic labeling of places using information extracted from sensor data. Robotics Auton. Syst. Óscar Martínez Mozos, Rudolph Triebel, Patric Jensfelt, Axel Rottmann, Wolfram Burgard
2007	—	`—`	Three-dimensional perception for mobile robots. Rudolph Triebel
2007	A*	`conf`	Towards Mapping of Cities. ICRA Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, Pierre Lamon, Wolfram Burgard, Roland Siegwart
2006	A	`conf`	Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing. IROS Rudolph Triebel, Patrick Pfaff, Wolfram Burgard
2006	A*	`conf`	Robust 3D Scan Point Classification using Associative Markov Networks. ICRA Rudolph Triebel, Kristian Kersting, Wolfram Burgard
2005	A*	`conf`	Improving Simultaneous Mapping and Localization in 3D Using Global Constraints. AAAI Rudolph Triebel, Wolfram Burgard
2005	A	`conf`	Improving plane extraction from 3D data by fusing laser data and vision. IROS Henrik Andreasson, Rudolph Triebel, Wolfram Burgard
2005	—	`conf`	Learning Accurate Three-Dimensional Models from Range Data using Global Constraints. GI Jahrestagung (2) Wolfram Burgard, Rudolph Triebel
2005	A*	`conf`	Using Hierarchical EM to Extract Planes from 3D Range Scans. ICRA Rudolph Triebel, Wolfram Burgard, Frank Dellaert
2003	A*	`conf`	A system for volumetric robotic mapping of abandoned mines. ICRA Sebastian Thrun, Dirk Hähnel, David I. Ferguson, Michael Montemerlo, Rudolph Triebel, Wolfram Burgard, Christopher R. Baker, Zachary Omohundro, Scott Thayer, William Whittaker
2003	A*	`conf`	Map building with mobile robots in dynamic environments. ICRA Dirk Hähnel, Rudolph Triebel, Wolfram Burgard, Sebastian Thrun