Jörg Stückler

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Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnEmail verificata su cs.uni-bonn.de
Daniel CremersTechnical University of MunichEmail verificata su tum.de
Dirk HolzIntrinsic | Google[x] | Willow Garage | University of Bonn | Fraunhofer (I)AISEmail verificata su ieee.org
David DroeschelUniversity of BonnEmail verificata su ais.uni-bonn.de
Vladyslav UsenkoApple, prev. TU MunichEmail verificata su apple.com
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityEmail verificata su vision.rwth-aachen.de
Jakob EngelResearch Director, Meta Reality Labs ResearchEmail verificata su meta.com
Matthias NieuwenhuisenFraunhofer FKIEEmail verificata su fkie.fraunhofer.de
Max SchwarzUniversity of Bonn and Lamarr Institute, GermanyEmail verificata su uni-bonn.de
Jan AchterholdBosch Corporate ResearchEmail verificata su de.bosch.com
Nikolaus DemmelPhD Student, Computer Vision Group, TUMEmail verificata su in.tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichEmail verificata su in.tum.de
Hannes SchulzMicrosoft Research, MontrealEmail verificata su microsoft.com
Reinhard KleinProfessor of Computer Science, Bonn UniversityEmail verificata su cs.uni-bonn.de
Michael StreckeMax Planck Institute for Intelligent SystemsEmail verificata su tuebingen.mpg.de
Lingni MaMeta Reality Labs ResearchEmail verificata su fb.com
Lukas von StumbergComputer Vision Software Engineer at Valve CorporationEmail verificata su in.tum.de
Haolong LiMax Planck Institute for Intelligent SystemsEmail verificata su tuebingen.mpg.de
Dirk SchulzSenior Researcher Fraunhofer FKIEEmail verificata su fkie.fraunhofer.de
Francis EngelmannStanford UniversityEmail verificata su cs.stanford.edu

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Jörg Stückler

Altri nomiJoerg Stueckler, Jorg Stuckler, Jörg-Dieter Stückler

University of Augsburg

Email verificata su uni-a.de - Home page

computer vision machine learning robotics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	874	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	762	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	442	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	420	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	301	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	246	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	240	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	172	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	157	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	140	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	135	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	117	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	112	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
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	109	2021
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	107	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
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	97	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	93	2016
Active recognition and manipulation for mobile robot bin picking D Holz, M Nieuwenhuisen, D Droeschel, J Stückler, A Berner, J Li, R Klein, ... Gearing up and accelerating cross‐fertilization between academic and …, 2014	82	2014

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