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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More



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Sort Order:  by type by year
Book Chapters Journal Articles Conference and Workshop Papers Other Publications 
Book Chapters
2012
[]Awareness of Road Scene Participants for Autonomous Driving (A. Petrovskaya, M. Perrollaz, L. Oliveira, L. Spinello, R. Triebel, A. Makris, J.-D. Yoder, U. Nunes, C. Laugier and P. Bessière), Chapter in Handbook of Intelligent Vehicles, Springer, 2012.  [bibtex]
Book Chapters Journal Articles Conference and Workshop Papers Other Publications 
Journal Articles
2020
[]ARDEA—An MAV with skills for future planetary missions (P. Lutz, M. G. Müller, M. Maier, S. Stoneman, T. Tomi\´c, I. von Bargen, M. J. Schuster, F. Steidle, A. Wedler, W. Stürzl and R. Triebel), In Journal of Field Robotics (JFR), 2020.  [bibtex]
[]Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras (R. Giubilato, M. Vayugundla, M. Schuster, W. Stürzl, A. Wedler, R. Triebel and S. Debei), In IEEE Robotics and Automation Letters, volume 5, 2020.  [bibtex] [pdf]
2019
[]Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection (M. Sundermeyer, Z. Marton, M. Durner and R. Triebel), In International Journal of Computer Vision, 2019.  [bibtex]
2015
[]Introspective classification for robot perception (H Grimmett, R Triebel, R Paul and I Posner), In The International Journal of Robotics Research (IJRR), 2015.  [bibtex] [pdf]
2010
[]Multiclass Multimodal Detection and Tracking in Urban Environments (L.Spinello, R. Triebel and R. Siegwart), In International Journal of Robotics Research, 2010.  [bibtex] [pdf]
2008
[]Monte Carlo localization in outdoor terrains using multilevel surface maps (R. Kümmerle, R. Triebel, P.Pfaff and W. Burgard), In Journal of Field Robotics, volume 25, 2008.  [bibtex] [pdf]
2007
[]Non-iterative Vision-based Interpolation of 3D Laser Scans (H. Andreasson, R. Triebel and A. Lilienthal), In Autonomous Robots and Agents, volume 76, 2007.  [bibtex] [pdf]
[]An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing (P. Pfaff, R. Triebel and W. Burgard), In International Journal of Robotics Research (IJRR), volume 26, 2007.  [bibtex] [pdf]
[]Supervised semantic labeling of places using information extracted from sensor data (Ó. M Mozos, R. Triebel, P. Jensfelt, A. Rottmann and W. Burgard), In Journal on Robotics and Autonomous Systems (RAS), volume 55, 2007.  [bibtex] [pdf]
Book Chapters Journal Articles Conference and Workshop Papers Other Publications 
Conference and Workshop Papers
2020
[]Robust Vision-Based Pose Correction for a Robotic Manipulator using Active Markers (L Meyer, K Strobl and R Triebel), In 17th International Symposium on Experimental Robotics (ISER), 2020. (to appear) [bibtex]
[]A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking (M Stoiber, M Pfanne, K Strobl, R Triebel and A Albu-Schaeffer), In Asian Conference on Computer Vision, 2020. (to appear) [bibtex]Oral Presentation
[]Incremental learning of EMG-based control commands using Gaussian Processes (F Schiel, A Hagengruber, J Vogel and R Triebel), In Conference on Robot Learning (CoRL), 2020. (to appear) [bibtex]
[]Self-Supervised Object-in-Gripper Segmentation from Robotic Motions (W Boerdijk, M Sundermeyer, M Durner and R Triebel), In Conference on Robot Learning (CoRL), 2020. (to appear) [bibtex]
[]Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments (CL Gentil, M Vayugundla, R Giubilato, W Stürzl, TA. Vidal-Calleja and R Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2020. (to appear) [bibtex]
[]Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments (M Sewtz, T Bodenmüller and R Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2020. (to appear) [bibtex]
[]3D Scene Reconstruction from a Single Viewport (M Denninger and R Triebel), In European Conference on Computer Vision (ECCV), 2020. (to appear) [bibtex] [pdf]
[]Effective Version Space Reduction for Convolutional Neural Networks (J Liu, I Chiotellis, R Triebel and D Cremers), In European Conference on Machine Learning and Data Mining (ECML-PKDD), 2020. ([arxiv]) [bibtex] [pdf]
[]Estimating Model Uncertainty of Neural Networks in Sparse Information Form (J Lee, M Humt, J Feng and R Triebel), In International Conference on Machine Learning (ICML), 2020.  [bibtex] [pdf]
[]Visual-Inertial Telepresence for Aerial Manipulation (J. Lee, R. Balachandran, Y. Sarkisov, M. D Stefano, A. Coelho, K. Shinde, M. J. Kim, R. Triebel and K. Kondak), In International Conference on Robotics and Automation (ICRA), 2020.  [bibtex] [pdf]
[]Non-Parametric Calibration for Classification (J. Wenger, H. Kjellström and R. Triebel), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.  [bibtex] [pdf]
[]Multi-path Learning for Object Pose Estimation Across Domains (M. Sundermeyer, M. Durner, E. Y. Puang, Z.-C. Marton, N. Vaskevicius, K. O. Arras and R. Triebel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [pdf]
[]Information-Driven Direct RGB-D Odometry (A. Fontan-Villacampa, J. Civera and R. Triebel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [pdf]Oral Presentation
2019
[]Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks (J. Feng, M. Durner, Z.-C. Marton, F. Balint-Benczedi and R. Triebel), In International Symposium on Robotics Research (ISRR), 2019.  [bibtex]
[]Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs (F. Steidle, W. Stürzl and R. Triebel), In 11th International Micro Air Vehicle Competition and Conference (IMAV), 2019.  [bibtex]
[]Visual Repetition Sampling for Robot Manipulation Planning (E.Y. Puang, P. Lehner, Z.C. Marton, M. Durner, R. Triebel and A. Albu-Schäffer), In International Conference on Robotics and Automation (ICRA), 2019.  [bibtex] [pdf]
2018
[]Simultaneous Calibration and Mapping (C. Nissler, M. Durner, Z.-C. Márton and R. Triebel), In International Symposium on Experimental Robotics (ISER), 2018.  [bibtex] [pdf]
[]6DoF Pose Estimation for Industrial Manipulation based on Synthetic Data (M. Brucker, M. Durner, Z.-C. Márton, F. Bálint-Benczédi, M. Sundermeyer and R. Triebel), In International Symposium on Experimental Robotics (ISER), 2018.  [bibtex] [pdf]
[]Incremental Semi-Supervised Learning from Streams for Object Classification (I. Chiotellis, F. Zimmermann, D. Cremers and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([code]) [bibtex] [pdf]
[]Appearance-Based Along-Route Localization for Planetary Missions (I. Grixa, P. Schulz, W. Stürzl and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018.  [bibtex] [pdf]
[]Persistent Anytime Learning of Objects from Unseen Classes (M. Denninger and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018.  [bibtex] [pdf]Best Cognitive Robotics Paper Finalist
[]Implicit 3D Orientation Learning for 6D Object Detection from RGB Images (M. Sundermeyer, Z. Marton, M. Durner, M. Brucker and R. Triebel), In European Conference on Computer Vision (ECCV), 2018.  [bibtex] [pdf]Best Paper Award
[]Semantic Labeling of Indoor Environments from 3D RGB Maps (M. Brucker, M. Durner, R. Ambrus, Z.-C. Marton, A. Wendt, P. Jensfelt, K.O. Arras and R. Triebel), In International Conference on Robotics and Automation (ICRA), 2018.  [bibtex]
2017
[]Experience-based Optimization of Robotic Perception (M Durner, S Kriegel, S Riedel, M Brucker, ZC Marton, F Balint-Benczedi and R Triebel), In International Conference on Advanced Robotics (ICAR), 2017.  [bibtex]
[]How Robots Learn to Classify New Objects Trained from Small Data Sets (TS Wang, ZC Marton, M Brucker and R Triebel), In Conference on Robot Learning (CoRL), 2017.  [bibtex]
[]A Method for Hand-Eye and Camera-to-Camera Calibration for Limited Fields of View (C Nissler, ZC Marton, H Kisner, U Thomas and R Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2017.  [bibtex]
[]Selecting CNN Features for Online Learning of 3D Objects (M Ullrich, H Ali, M Durner, ZC Marton and R Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2017.  [bibtex]
2016
[]Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers), In , NIPS Workshops, 2016. ([arxiv]) [bibtex] [pdf]
[]Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (I. Chiotellis, R. Triebel, T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([code]) [bibtex] [pdf]
[]Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects (A. Narr, R. Triebel and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2016.  [bibtex] [pdf]
2015
[]CAPTCHA Recognition with Active Deep Learning (F. Stark, C. Hazirbas, R. Triebel and D. Cremers), In GCPR Workshop on New Challenges in Neural Computation, 2015. ([code]) [bibtex] [pdf]
[]Semi-supervised Online Learning for Efficient Classification of Objects in 3D Data Streams (Y. Tao, R. Triebel and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015.  [bibtex] [pdf]
[]SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports (R. Triebel, K. Arras, R. Alami, L. Beyer, S. Breuers, R. Chatila, M. Chetouani, D. Cremers, V. Evers, M. Fiore, H. Hung, O. A. I Ramírez, M. Joosse, H. Khambhaita, T. Kucner, B. Leibe, A. J. Lilienthal, T. Linder, M. Lohse, M. Magnusson, B. Okal, L. Palmieri, U. Rafi, M. van Rooij and L. Zhang), In Proc. Field and Service Robotics (FSR), 2015.  [bibtex] [pdf]
[]Active Online Confidence Boosting for Efficient Object Classification (D. Mund, R. Triebel and D. Cremers), In Proc. IEEE International Conference on Robotics and Automation (ICRA), 2015.  [bibtex] [pdf]
2014
[]Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data (S. Debnath, S. S. Baishya, R. Triebel, V. Dutt and D. Cremers), In KI 2014: Advances in Artificial Intelligence (C Lutz, M Thielscher, eds.), Springer, 2014.  [bibtex] [pdf]
[]Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes (R. Triebel, J. Stühmer, M. Souiai and D. Cremers), In German Conference on Pattern Recognition, 2014.  [bibtex] [pdf]
[]Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis (T. Windheuser, M. Vestner, E. Rodola, R. Triebel and D. Cremers), In British Machine Vision Conference (BMVC), 2014.  [bibtex] [pdf]
2013
[]Driven Learning for Driving: How Introspection Improves Semantic Mapping (R. Triebel, H. Grimmett, R. Paul and I. Posner), In The International Symposium on Robotics Research (ISRR), 2013.  [bibtex] [pdf]
[]Introspective Active Learning for Scalable Semantic Mapping (R. Triebel, H. Grimmett, R. Paul and I. Posner), In Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction at Robotics: Science and Systems, 2013.  [bibtex] [pdf]
[]Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning (R. Triebel, H. Grimmett and I. Posner), In Autonomous Learning Workshop at ICRA, 2013.  [bibtex] [pdf]
[]Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making (H. Grimmett, R. Paul, R. Triebel and I. Posner), In IEEE International Conference on Robotics and Automation (ICRA), 2013.  [bibtex] [pdf]
[]Toward Automated Driving in Cities using Close-to-Market Sensors (P. Furgale, U. Schwesinger, M. Rufli, W. Derendarz, H. Grimmett, P. Mühlfellner, S. Wonneberger, J. Timpner, S. Rottmann, B. Li, B. Schmidt, T. N Nguyen, E. Cardarelli, S. Cattani, S. Brüning, S. Horstmann, M. Stellmacher, H. Mielenz, K. Köser, M. Beermann, C. Häne, L. Heng, G. H. Lee, F. Fraundorfer, R. Iser, R. Triebel, I. Posner, P. Newman, L. Wolf, M. Pollefeys, S. Brosig, J. Effertz, C. Pradalier and R. Siegwart), In Proc. of IEEE Intelligent Vehicles Symposium, 2013.  [bibtex] [pdf]
2012
[]Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates (R. Triebel, R. Paul, D. Rus and P. Newman), In Robotics Track of AAAI Conference on Artificial Intelligence, 2012.  [bibtex] [pdf]
[]Semantic Categorization of Outdoor Scenes with Uncertainty Estimates using Multi-Class Gaussian Process Classification (R. Paul, R. Triebel, D. Rus and P. Newman), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2012.  [bibtex] [pdf]
2011
[]Bayesian On-line Learning of Driving Behaviors (J. Maye, R. Triebel, L. Spinello and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2011.  [bibtex] [pdf]
[]Unsupervised 3D Object Discovery and Categorization for Mobile Robots (J. Shin, R. Triebel and R. Siegwart), In Proc. of the International Symposium on Robotics Research (ISRR), 2011.  [bibtex] [pdf]
2010
[]Inferring the Semantics of Direction Signs in Public Places (J. Maye, L. Spinello, R. Triebel and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]Unsupervised Discovery of Repetitive Objects (J. Shin, R. Triebel and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]A Layered Approach to People Detection in 3D Range Data (L. Spinello, K. O. Arras, R. Triebel and R. Siegwart), In special track on Physically Grounded AI of AAAI, 2010.  [bibtex] [pdf]
[]Segmentation and Unsupervised Part-based Discovery of Repetitive Objects (R. Triebel, J. Shin and R. Siegwart), In Robotics: Science and Systems, 2010.  [bibtex] [pdf]
[]Exploiting Repetitive Object Patterns for Model Compression and Completion (L. Spinello, R. Triebel, D. Vasquez, K. Arras and R Siegwart), In European Conference on Computer Vision, 2010.  [bibtex] [pdf]
[]A Bayesian Approach to Learning 3D Representations of Dynamic Environments (R. Kaestner, N. Engelhard, R. Triebel and R. Siegwart), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), Springer Press, 2010.  [bibtex] [pdf]
2009
[]Medial Features for Superpixel Segmentation (D. Engel, L. Spinello, R. Triebel, C. Curio, R. Siegwart and H. Bülthoff), In Proc. of the IAPR Conference on Machine Vision Applications (MVA), 2009.  [bibtex] [pdf]
[]Multiclass Multimodal Detection and Tracking in Urban Environments (L. Spinello, R. Triebel and R. Siegwart), In Proc. of Field and Service Robotics (FSR), 2009.  [bibtex] [pdf]
[]Detecting Pedestrians at Very Small Scales (L. Spinello, A. Macho, R. Triebel and R. Siegwart), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2009.  [bibtex] [pdf]
2008
[]Multimodal People Detection and Tracking in Crowded Scenes (L. Spinello, R. Triebel and R. Siegwart), In Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.  [bibtex] [pdf]
[]Multimodal Detection and Tracking of Pedestrians in Urban Environments with Explicit Ground Plane Extraction (L. Spinello, R. Triebel and R. Siegwart), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2008.  [bibtex] [pdf]
2007
[]Instance-based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data (R. Triebel, R. Schmidt, Ó. M Mozos and W. Burgard), In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2007.  [bibtex] [pdf]
[]Towards Mapping of Cities (P. Pfaff, R. Triebel, C. Stachniss, P. Lamon, W. Burgard and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2007.  [bibtex] [pdf]
[]Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions (R. Triebel and W. Burgard), In Proc. of the 6th International Conference on Field and Service Robotics (FSR), 2007.  [bibtex] [pdf]
[]Active Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps (R. Kümmerle, P. Pfaff, R. Triebel and W. Burgard), In Fachgespräche Autonome Mobile Systeme (AMS), 2007.  [bibtex] [pdf]
[]Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data (R. Triebel, Ó. M Mozos and W. Burgard), In Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications, 2007.  [bibtex] [pdf]
2006
[]Vision-based Interpolation of 3D Laser Scans (H. Andreasson, R. Triebel and A. Lilienthal), In Proc. International Conference on Autonomous Robots and Agents (ICARA), 2006.  [bibtex] [pdf]
[]Robust 3D Scan Point Classification using Associative Markov Networks (R. Triebel, K. Kersting and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2006.  [bibtex] [pdf]
[]Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing (R. Triebel, P. Pfaff and W. Burgard), In Proc. of the International Conference on Intelligent Robots and Systems(IROS), 2006.  [bibtex] [pdf]
2005
[]Using Hierarchical EM to Extract Planes from 3D Range Scans (R. Triebel, W. Burgard and F. Dellaert), In International Conference on Robotics and Automation (ICRA), 2005.  [bibtex] [pdf]
[]Improving Simultaneous Localization and Mapping in 3D Using Global Constraints (R. Triebel and W. Burgard), In Proc. of the Twentieth National Conference on Artificial Intelligence (AAAI), 2005.  [bibtex] [pdf]
[]Improving Plane Extraction from 3D Data by Fusing Laser Data and Vision (H. Andreasson, R. Triebel and W. Burgard), In Proc. of the International Conference on Intelligent Robots and Systems(IROS), 2005.  [bibtex] [pdf]
2004
[]First steps towards a robotic system for flexible volumetric mapping of indoor environments (R. Triebel, B. Frank, J. Meyer and W. Burgard), In Proc. of the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV), 2004.  [bibtex] [pdf]
2003
[]Map Building with Mobile Robots in Dynamic Environments (D. Hähnel, R. Triebel, W. Burgard and S. Thrun), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2003.  [bibtex] [pdf]
[]A system for volumetric robotic mapping of underground mines (S. Thrun, D. Hähnel, D. Ferguson, M. Montemerlo, R. Triebel, W. Burgard, C. Baker, Z. Omohundro, S. Thayer and W. Whittaker), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2003.  [bibtex] [pdf]
Book Chapters Journal Articles Conference and Workshop Papers Other Publications 
Other Publications
2015
[]Approaches for Efficient and Autonomous Learning in Robotics and Computer Vision (R. Triebel), Habilitation thesis at TU Munich, Dep. of Computer Science, 2015.  [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More