Niko Suenderhauf

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Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Feras DayoubThe University of Adelaide - Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
Peter ProtzelProfessor of Electrical Engineering, TU Chemnitz / Chemnitz University of Technology, GermanyVerified email at etit.tu-chemnitz.de
Ben UpcroftOxboticaVerified email at oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Ian D ReidMohammad Bin Zayed University of Artificial Intelligence and University of AdelaideVerified email at adelaide.edu.au
Peer NeubertUniversity of KoblenzVerified email at uni-koblenz.de
Haoyang ZhangHorizon.AIVerified email at horizon.ai
Dimity MillerQueensland University of TechnologyVerified email at qut.edu.au
Juxi LeitnerLYRO Robotics & Monash UniversityVerified email at LYRO.io
Sven LangeTU ChemnitzVerified email at etit.tu-chemnitz.de
Sourav GargAIML, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Jake BruceResearch Scientist, DeepMindVerified email at google.com
David HallResearch Scientist, CSIROVerified email at csiro.au
Ben TalbotQUT Centre for Robotics, Queensland University of TechnologyVerified email at qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verified email at hdr.qut.edu.au
Trung T. PhamStaff Computer Vision Scientist at NVIDIA, The Australian Centre of Robotic Vision, The UniversityVerified email at nvidia.com
Krishan RanaQueensland University of TechnologyVerified email at qut.edu.au
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaVerified email at adelaide.edu.au
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au

Niko Suenderhauf

Other namesNiko Sünderhauf, Niko Sunderhauf

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

Verified email at qut.edu.au - Homepage

Robotic Vision Machine Learning SLAM Scene Understanding


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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	1105	2018
Visual Place Recognition: A Survey S Lowry, N Sunderhauf, P Newman, JJ Leonard, D Cox, P Corke, ... Transactions on Robotics (TRO), 2015	1073	2015
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	602	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	556	2018
Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sünderhauf Computer Vision and Pattern Recognition (CVPR) 2021, 2020	479	2020
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	449	2015
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	378	2012
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	366	2017
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	312	2009
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	299	2007
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	283	2013
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM LJ Nicholson, MJ Milford, N Sünderhauf IEEE Robotics and Automation Letters, 2018	277	2018
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	244	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	237	2012
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	232	2017
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	213	2018
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	158	2016
Appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel 2013 European Conference on Mobile Robots, 198-203, 2013	144	2013
Visual odometry using sparse bundle adjustment on an autonomous outdoor vehicle N Sünderhauf, K Konolige, S Lacroix, P Protzel Autonome Mobile Systeme 2005: 19. Fachgespräch Stuttgart, 8./9. Dezember …, 2006	137	2006
Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft 2015 IEEE Winter conference on applications of computer vision, 797-804, 2015	135	2015

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