Jörg Stückler

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

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Jörg Stückler

Outros nomesJoerg Stueckler, Jorg Stuckler, Jörg-Dieter Stückler

University of Augsburg

E-mail confirmado em uni-a.de - Página inicial

computer vision machine learning robotics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	881	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	768	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	487	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	416	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	302	2016
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	251	2019
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	248	2014
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	163	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	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	121	2018
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	120	2021
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	117	2014
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
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	100	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	98	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
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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