Niko Suenderhauf

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Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerifierad e-postadress på qut.edu.au
Feras DayoubThe University of Adelaide - Australian Institute for Machine Learning (AIML)Verifierad e-postadress på adelaide.edu.au
Peter ProtzelProfessor of Electrical Engineering, TU Chemnitz / Chemnitz University of Technology, GermanyVerifierad e-postadress på etit.tu-chemnitz.de
Ben UpcroftOxboticaVerifierad e-postadress på oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Verifierad e-postadress på qut.edu.au
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideVerifierad e-postadress på adelaide.edu.au
Dimity MillerQueensland University of TechnologyVerifierad e-postadress på qut.edu.au
Haoyang ZhangHorizon.AIVerifierad e-postadress på horizon.ai
Peer NeubertUniversity of KoblenzVerifierad e-postadress på uni-koblenz.de
Juxi LeitnerLYRO Robotics & Monash UniversityVerifierad e-postadress på LYRO.io
Sourav GargAIML, University of Adelaide, AustraliaVerifierad e-postadress på adelaide.edu.au
Sven LangeTU ChemnitzVerifierad e-postadress på etit.tu-chemnitz.de
Krishan RanaQueensland University of TechnologyVerifierad e-postadress på qut.edu.au
Jake BruceResearch Scientist, DeepMindVerifierad e-postadress på google.com
David HallResearch Scientist, CSIROVerifierad e-postadress på csiro.au
Ben TalbotQUT Centre for Robotics, Queensland University of TechnologyVerifierad e-postadress på qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verifierad e-postadress på hdr.qut.edu.au
Trung T. PhamPrincipal CV/ML Scientist at NVIDIAVerifierad e-postadress på nvidia.com
Jesse HavilandQueensland University of TechnologyVerifierad e-postadress på qut.edu.au
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaVerifierad e-postadress på adelaide.edu.au

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Niko Suenderhauf

Andra namnNiko Sünderhauf, Niko Sunderhauf

Professor at Queensland University of Technology (QUT) Centre for Robotics

Verifierad e-postadress på qut.edu.au - Startsida

Robotic Vision Machine Learning SLAM Scene Understanding


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018	1356	2018
Visual Place Recognition: A Survey S Lowry, N Sunderhauf, P Newman, JJ Leonard, D Cox, P Corke, ... Transactions on Robotics (TRO), 2015	1206	2015
Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sünderhauf Computer Vision and Pattern Recognition (CVPR) 2021, 2020	847	2020
On the Performance of ConvNet Features for Place Recognition N Sünderhauf, F Dayoub, S Shirazi, B Upcroft, M Milford IEEE International Conference on Intelligent Robots and Systems (IROS), 2015	649	2015
The limits and potentials of deep learning for robotics N Sünderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, B Upcroft, ... The International journal of robotics research 37 (4-5), 405-420, 2018	635	2018
Place Recognition With ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free N Sünderhauf, S Shirazi, A Jacobson, E Pepperell, F Dayoub, B Upcroft, ... Robotics: Science and Systems, 2015	490	2015
Deep Learning Features at Scale for Visual Place Recognition Z Chen, A Jacobson, N Sunderhauf, B Upcroft, L Liu, C Shen, I Reid, ... International Conference on Robotics and Automation (ICRA 2017), 2017	411	2017
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	410	2012
A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments S Lange, N Sunderhauf, P Protzel 2009 international conference on advanced robotics, 1-6, 2009	334	2009
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM LJ Nicholson, MJ Milford, N Sünderhauf IEEE Robotics and Automation Letters, 2018	330	2018
Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons N Sünderhauf, P Neubert, P Protzel Proc. of workshop on long-term autonomy, IEEE international conference on …, 2013	312	2013
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	306	2007
Dropout Sampling for Robust Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf International Conference on Robotics and Automation (ICRA), 2018	277	2018
Meaningful Maps With Object-Oriented Semantic Mapping N Sünderhauf, TT Pham, Y Latif, M Milford, I Reid IEEE International Conference on Intelligent Robots and Systems (IROS), 2017	263	2017
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	255	2011
Towards a robust back-end for pose graph slam N Sünderhauf, P Protzel 2012 IEEE international conference on robotics and automation, 1254-1261, 2012	254	2012
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration⁰ A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	203*	2024
Place Categorization and Semantic Mapping on a Mobile Robot N Sünderhauf, F Dayoub, S McMahon, B Talbot, R Schulz, P Corke, ... IEEE International Conference on Robotics and Automation (ICRA), 2016	177	2016
Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning K Rana, J Haviland, S Garg, J Abou-Chakra, I Reid, N Suenderhauf 7th Annual Conference on Robot Learning, 2023	159*	2023
Appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel 2013 European Conference on Mobile Robots, 198-203, 2013	154	2013

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