| 2025 | ICCV | Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation. | Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel, Maximilian Durner |
| 2025 | ICRA | Towards Autonomous Data Annotation and System-Agnostic Robotic Grasping Benchmarking with 3D-Printed Fixtures. | Wout Boerdijk, Maximilian Durner, Ryo Sakagami, Peter Lehner, Rudolph Triebel |
| 2025 | ICRA | Single-Shot Metric Depth from Focused Plenoptic Cameras. | Blanca Lasheras-Hernandez, Klaus H. Strobl, Sergio Izquierdo, Tim Bodenmller, Rudolph Triebel, Javier Civera |
| 2025 | MICCAI | KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy. | Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus H. Strobl, Arkadiusz Miernik, Rudolph Triebel |
| 2024 | ICRA | Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments. | Alberto Garca-Hernndez, Riccardo Giubilato, Klaus H. Strobl, Javier Civera, Rudolph Triebel |
| 2024 | ICRA | A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving. | Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel |
| 2024 | IROS | Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients. | Simon Kristoffersson Lind, Rudolph Triebel, Volker Krger |
| 2024 | IROS | A Learning-based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand. | Dominik Winkelbauer, Rudolph Triebel, Berthold Buml |
| 2024 | SAFECOMP | A Flow-Based Credibility Metric for Safety-Critical Pedestrian Detection. | Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel |
| 2023 | CoRL | Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. | Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Gnnemann, Rudolph Triebel |
| 2023 | ICML | Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. | Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel |
| 2023 | IGARSS | Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. | Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu |
| 2023 | IROS | Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. | Matan Atad, Jianxiang Feng, Ismael Rodrguez, Maximilian Durner, Rudolph Triebel |
| 2023 | IROS | Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking. | Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel |
| 2023 | IROS | 6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. | Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel |
| 2023 | IROS | Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand. | Dominik Winkelbauer, Berthold Buml, Rudolph Triebel |
| 2022 | CVPR | Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. | Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel |
| 2022 | IJCAI | The impact of averaging logits over probabilities on ensembles of neural networks. | Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel |
| 2022 | ICRA | Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. | Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel |
| 2022 | IROS | Bayesian Active Learning for Sim-to-Real Robotic Perception. | Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel |
| 2022 | IROS | RECALL: Rehearsal-free Continual Learning for Object Classification. | Markus Knauer, Maximilian Denninger, Rudolph Triebel |
| 2022 | IROS | Towards Safety-Aware Pedestrian Detection in Autonomous Systems. | Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel |
| 2022 | IROS | The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion. | Lukas Meyer, Klaus H. Strobl, Rudolph Triebel |
| 2022 | IROS | A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. | Dominik Winkelbauer, Berthold Buml, Matthias Humt, Nils Thuerey, Rudolph Triebel |
| 2021 | CoRL | Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. | Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Mller, Rudolph Triebel |
| 2021 | CVPR | From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains. | Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel |
| 2021 | ICRA | DOT: Dynamic Object Tracking for Visual SLAM. | Irene Ballester, Alejandro Fontn, Javier Civera, Klaus H. Strobl, Rudolph Triebel |
| 2021 | ICRA | "What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. | Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel |
| 2021 | ICRA | Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making. | Hannah Lehner, Martin J. Schuster, Tim Bodenmller, Rudolph Triebel |
| 2021 | IROS | Unknown Object Segmentation from Stereo Images. | Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltn-Csaba Mrton, Rudolph Triebel |
| 2021 | IROS | Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. | Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Strzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel |
| 2021 | IROS | A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. | Marcus Gerhard Mller, Maximilian Durner, Abel Gawel, Wolfgang Strzl, Rudolph Triebel, Roland Siegwart |
| 2021 | IROS | Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. | Martin Wudenka, Marcus Gerhard Mller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Strzl |
| 2021 | ICRA | Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. | Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox |
| 2021 | ICRA | Learning to Localize in New Environments from Synthetic Training Data. | Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel |
| 2020 | ACCV | A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking. | Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schffer |
| 2020 | AISTATS | Non-Parametric Calibration for Classification. | Jonathan Wenger, Hedvig Kjellstrm, Rudolph Triebel |
| 2020 | CoRL | Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. | Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel |
| 2020 | CoRL | Incremental learning of EMG-based control commands using Gaussian Processes. | Felix Schiel, Annette Hagengruber, Jrn Vogel, Rudolph Triebel |
| 2020 | CVPR | Information-Driven Direct RGB-D Odometry. | Alejandro Fontn, Javier Civera, Rudolph Triebel |
| 2020 | CVPR | Multi-Path Learning for Object Pose Estimation Across Domains. | Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel |
| 2020 | ECCV | 3D Scene Reconstruction from a Single Viewport. | Maximilian Denninger, Rudolph Triebel |
| 2020 | ICML | Estimating Model Uncertainty of Neural Networks in Sparse Information Form. | Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel |
| 2020 | ICRA | Visual-Inertial Telepresence for Aerial Manipulation. | Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak |
| 2020 | IROS | Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. | Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Strzl, Teresa A. Vidal-Calleja, Rudolph Triebel |
| 2020 | IROS | Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments. | Marco Sewtz, Tim Bodenmller, Rudolph Triebel |
| 2019 | ICRA | Visual Repetition Sampling for Robot Manipulation Planning. | En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, Alin Albu-Schffer |
| 2019 | ISRR | Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. | Jianxiang Feng, Maximilian Durner, Zoltn-Csaba Mrton, Ferenc Blint-Benczdi, Rudolph Triebel |
| 2018 | ECCV | Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. | Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel |
| 2018 | ICRA | Semantic Labeling of Indoor Environments from 3D RGB Maps. | Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel |
| 2018 | IROS | Incremental Semi-Supervised Learning from Streams for Object Classification. | Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers, Rudolph Triebel |
| 2018 | IROS | Persistent Anytime Learning of Objects from Unseen Classes. | Maximilian Denninger, Rudolph Triebel |
| 2018 | IROS | Appearance-Based Along-Route Localization for Planetary Missions. | Iris Lynne Grixa, Philipp Schulz, Wolfgang Strzl, Rudolph Triebel |
| 2017 | CoRL | How Robots Learn to Classify New Objects Trained from Small Data Sets. | Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel |
| 2017 | IROS | A method for hand-eye and camera-to-camera calibration for limited fields of view. | Christian Nissler, Zoltan-Csaba Marton, Hannes Kisner, Ulrike Thomas, Rudolph Triebel |
| 2017 | IROS | Selecting CNN features for online learning of 3D objects. | Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel |
| 2016 | ECCV | Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding. | Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers |
| 2016 | ICRA | Stream-based Active Learning for efficient and adaptive classification of 3D objects. | Alexander Narr, Rudolph Triebel, Daniel Cremers |
| 2015 | ICRA | Active online confidence boosting for efficient object classification. | Dennis Mund, Rudolph Triebel, Daniel Cremers |
| 2015 | IROS | Semi-supervised online learning for efficient classification of objects in 3D data streams. | Ye Tao, Rudolph Triebel, Daniel Cremers |
| 2014 | BMVC | Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. | Thomas Windheuser, Matthias Vestner, Emanuele Rodol, Rudolph Triebel, Daniel Cremers |
| 2014 | KI | Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. | Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers |
| 2013 | ICRA | Knowing when we don't know: Introspective classification for mission-critical decision making. | Hugo Grimmett, Rohan Paul, Rudolph Triebel, Ingmar Posner |
| 2013 | ISRR | Driven Learning for Driving: How Introspection Improves Semantic Mapping. | Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner |
| 2012 | AAAI | Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates. | Rudolph Triebel, Rohan Paul, Daniela Rus, Paul M. Newman |
| 2012 | IROS | Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classification. | Rohan Paul, Rudolph Triebel, Daniela Rus, Paul M. Newman |
| 2011 | ICRA | Bayesian on-line learning of driving behaviors. | Jrme Maye, Rudolph Triebel, Luciano Spinello, Roland Siegwart |
| 2011 | ISRR | Unsupervised 3D Object Discovery and Categorization for Mobile Robots. | Jiwon Shin, Rudolph Triebel, Roland Siegwart |
| 2010 | AAAI | A Layered Approach to People Detection in 3D Range Data. | Luciano Spinello, Kai Oliver Arras, Rudolph Triebel, Roland Siegwart |
| 2010 | ECCV | Exploiting Repetitive Object Patterns for Model Compression and Completion. | Luciano Spinello, Rudolph Triebel, Dizan Vasquez, Kai Oliver Arras, Roland Siegwart |
| 2010 | ICRA | Inferring the semantics of direction signs in public places. | Jrme Maye, Luciano Spinello, Rudolph Triebel, Roland Siegwart |
| 2010 | ICRA | Unsupervised discovery of repetitive objects. | Jiwon Shin, Rudolph Triebel, Roland Siegwart |
| 2009 | IROS | Detecting pedestrians at very small scales. | Luciano Spinello, A. Macho, Rudolph Triebel, Roland Siegwart |
| 2009 | MVA | Medial Features for Superpixel Segmentation. | David Engel, Luciano Spinello, Rudolph Triebel, Roland Siegwart, Heinrich H. Blthoff, Cristbal Curio |
| 2008 | AAAI | Multimodal People Detection and Tracking in Crowded Scenes. | Luciano Spinello, Rudolph Triebel, Roland Siegwart |
| 2008 | IROS | Multimodal detection and tracking of pedestrians in urban environments with explicit ground plane extraction. | Luciano Spinello, Rudolph Triebel, Roland Siegwart |
| 2007 | IJCAI | Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data. | Rudolph Triebel, Richard Schmidt, scar Martnez Mozos, Wolfram Burgard |
| 2007 | ICRA | Towards Mapping of Cities. | Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, Pierre Lamon, Wolfram Burgard, Roland Siegwart |
| 2006 | IROS | Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing. | Rudolph Triebel, Patrick Pfaff, Wolfram Burgard |
| 2006 | ICRA | Robust 3D Scan Point Classification using Associative Markov Networks. | Rudolph Triebel, Kristian Kersting, Wolfram Burgard |
| 2005 | AAAI | Improving Simultaneous Mapping and Localization in 3D Using Global Constraints. | Rudolph Triebel, Wolfram Burgard |
| 2005 | GI | Learning Accurate Three-Dimensional Models from Range Data using Global Constraints. | Wolfram Burgard, Rudolph Triebel |
| 2005 | IROS | Improving plane extraction from 3D data by fusing laser data and vision. | Henrik Andreasson, Rudolph Triebel, Wolfram Burgard |
| 2005 | ICRA | Using Hierarchical EM to Extract Planes from 3D Range Scans. | Rudolph Triebel, Wolfram Burgard, Frank Dellaert |
| 2003 | ICRA | Map building with mobile robots in dynamic environments. | Dirk Hhnel, Rudolph Triebel, Wolfram Burgard, Sebastian Thrun |
| 2003 | ICRA | A system for volumetric robotic mapping of abandoned mines. | Sebastian Thrun, Dirk Hhnel, David I. Ferguson, Michael Montemerlo, Rudolph Triebel, Wolfram Burgard, Christopher R. Baker, Zachary Omohundro, Scott Thayer, William Whittaker |