Jörg Stückler

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Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnVerified email at cs.uni-bonn.de
Daniel CremersTechnical University of MunichVerified email at tum.de
Dirk HolzIntrinsic | Google[x] | Willow Garage | University of Bonn | Fraunhofer (I)AISVerified email at ieee.org
David DroeschelUniversity of BonnVerified email at ais.uni-bonn.de
Vladyslav UsenkoApple, prev. TU MunichVerified email at apple.com
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityVerified email at vision.rwth-aachen.de
Jakob EngelResearch Director, Meta Reality Labs ResearchVerified email at meta.com
Matthias NieuwenhuisenFraunhofer FKIEVerified email at fkie.fraunhofer.de
Max SchwarzUniversity of Bonn and Lamarr Institute, GermanyVerified email at uni-bonn.de
Jan AchterholdBosch Corporate ResearchVerified email at de.bosch.com
Nikolaus DemmelPhD Student, Computer Vision Group, TUMVerified email at in.tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Hannes SchulzMicrosoft Research, MontrealVerified email at microsoft.com
Reinhard KleinProfessor of Computer Science, Bonn UniversityVerified email at cs.uni-bonn.de
Lukas von StumbergComputer Vision Software Engineer at Valve CorporationVerified email at in.tum.de
Lingni MaMeta Reality Labs ResearchVerified email at fb.com
Dirk SchulzSenior Researcher Fraunhofer FKIEVerified email at fkie.fraunhofer.de
Francis EngelmannStanfordVerified email at cs.stanford.edu
Rui Wang (王锐)Senior Research Scientist, MicrosoftVerified email at microsoft.com
Michael StreckeMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de

Jörg Stückler

Other namesJoerg Stueckler, Jorg Stuckler, Jörg-Dieter Stückler

University of Augsburg

Verified email at uni-a.de - Homepage

computer vision machine learning robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Semi-supervised deep learning for monocular depth map prediction Y Kuznietsov, J Stuckler, B Leibe Proceedings of the IEEE conference on computer vision and pattern …, 2017	859	2017
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015	751	2015
The TUM VI benchmark for evaluating visual-inertial odometry D Schubert, T Goll, N Demmel, V Usenko, J Stückler, D Cremers 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	418	2018
Deep virtual stereo odometry: Leveraging deep depth prediction for monocular direct sparse odometry N Yang, R Wang, J Stuckler, D Cremers Proceedings of the European conference on computer vision (ECCV), 817-833, 2018	411	2018
Direct visual-inertial odometry with stereo cameras V Usenko, J Engel, J Stückler, D Cremers 2016 IEEE international conference on robotics and automation (ICRA), 1885-1892, 2016	297	2016
Multi-resolution surfel maps for efficient dense 3D modeling and tracking J Stückler, S Behnke Journal of Visual Communication and Image Representation 25 (1), 137-147, 2014	240	2014
Visual-inertial mapping with non-linear factor recovery V Usenko, N Demmel, D Schubert, J Stückler, D Cremers IEEE Robotics and Automation Letters 5 (2), 422-429, 2019	222	2019
Multi-view deep learning for consistent semantic mapping with rgb-d cameras L Ma, J Stückler, C Kerl, D Cremers 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	164	2017
CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM L Ma, C Kerl, J Stückler, D Cremers 2016 IEEE International Conference on Robotics and Automation (ICRA), 1285-1291, 2016	154	2016
Learning to interpret pointing gestures with a time-of-flight camera D Droeschel, J Stückler, S Behnke Proceedings of the 6th international conference on Human-robot interaction …, 2011	138	2011
Mobile bin picking with an anthropomorphic service robot M Nieuwenhuisen, D Droeschel, D Holz, J Stückler, A Berner, J Li, R Klein, ... 2013 IEEE International Conference on Robotics and Automation, 2327-2334, 2013	133	2013
Omnidirectional DSO: Direct sparse odometry with fisheye cameras H Matsuki, L Von Stumberg, V Usenko, J Stückler, D Cremers IEEE Robotics and Automation Letters 3 (4), 3693-3700, 2018	116	2018
Efficient multi-resolution plane segmentation of 3D point clouds B Oehler, J Stueckler, J Welle, D Schulz, S Behnke Intelligent Robotics and Applications: 4th International Conference, ICIRA …, 2011	111	2011
Local multi-resolution representation for 6D motion estimation and mapping with a continuously rotating 3D laser scanner D Droeschel, J Stückler, S Behnke 2014 IEEE International Conference on Robotics and Automation (ICRA), 5221-5226, 2014	110	2014
Dense continuous-time tracking and mapping with rolling shutter RGB-D cameras C Kerl, J Stuckler, D Cremers Proceedings of the IEEE international conference on computer vision, 2264-2272, 2015	104	2015
Dense real-time mapping of object-class semantics from RGB-D video J Stückler, B Waldvogel, H Schulz, S Behnke Journal of Real-Time Image Processing 10 (4), 599-609, 2015	102	2015
Sample-efficient cross-entropy method for real-time planning C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ... Conference on Robot Learning, 1049-1065, 2021	101	2021
Em-fusion: Dynamic object-level slam with probabilistic data association M Strecke, J Stuckler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	92	2019
Multilayered mapping and navigation for autonomous micro aerial vehicles D Droeschel, M Nieuwenhuisen, M Beul, D Holz, J Stückler, S Behnke Journal of Field Robotics 33 (4), 451-475, 2016	92	2016
Integrating depth and color cues for dense multi-resolution scene mapping using rgb-d cameras J Stückler, S Behnke 2012 IEEE International conference on multisensor fusion and integration for …, 2012	82	2012

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