Feras Dayoub

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Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsVerified email at qut.edu.au
Ben UpcroftOxboticaVerified email at oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Chris McCoolProfessor, University of BonnVerified email at uni-bonn.de
Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
David HallResearch Scientist, CSIROVerified email at csiro.au
Haoyang ZhangHorizon.AIVerified email at horizon.ai
Dimity MillerQueensland University of TechnologyVerified email at qut.edu.au
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraVerified email at global.tencent.com
Tom DuckettUniversity of LincolnVerified email at lincoln.ac.uk
Ruth SchulzUniversity of StuttgartVerified email at ipvs.uni-stuttgart.de
Chris Lehnertsenior lecturer, Queensland University of TechnologyVerified email at qut.edu.au
Grzegorz CielniakProfessor in Robotics, University of LincolnVerified email at lincoln.ac.uk
Quazi Marufur RahmanQueensland University of TechnologyVerified email at connect.qut.edu.au
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyVerified email at surrey.ac.uk
Mahsa BaktashmotlaghARC Future Fellow and Senior Lecturer at the University of QueenslandVerified email at uq.edu.au
Olga MoskvyakQueensland University of TechnologyVerified email at hdr.qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verified email at hdr.qut.edu.au
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideVerified email at adelaide.edu.au
Sourav GargAIML, University of Adelaide, AustraliaVerified email at adelaide.edu.au

Feras Dayoub

The University of Adelaide - Australian Institute for Machine Learning (AIML)

Verified email at adelaide.edu.au - Homepage

Mobile Robotics Robotic Vision Robot Learning Field Robotics Chronorobotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deepfruits: A fruit detection system using deep neural networks I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool sensors 16 (8), 1222, 2016	969	2016
On the performance of convnet features for place recognition N Sünderhauf, S Shirazi, F Dayoub, B Upcroft, M Milford 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015	600	2015
Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sünderhauf Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	474	2021
Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free N Sünderhauf, S Shirazi, A Jacobson, F Dayoub, E Pepperell, B Upcroft, ... Robotics: Science and Systems XI, 1-10, 2015	449	2015
Dropout sampling for robust object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf IEEE International Conference on Robotics and Automation (ICRA), 2018	212	2018
Place categorization and semantic mapping on a mobile robot N Sünderhauf, F Dayoub, S McMahon, B Talbot, R Schulz, P Corke, ... 2016 IEEE international conference on robotics and automation (ICRA), 5729-5736, 2016	158	2016
Robot for weed species plant‐specific management O Bawden, J Kulk, R Russell, C McCool, A English, F Dayoub, C Lehnert, ... Journal of Field Robotics, 2017	144	2017
Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft IEEE Winter Conference on Applications of Computer Vision (WACV), 797-804, 2015	135	2015
Probabilistic object detection: Definition and evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... IEEE Winter Conference on Applications of Computer Vision 2020, 2020	128	2020
An adaptive appearance-based map for long-term topological localization of mobile robots F Dayoub, T Duckett 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008	114	2008
Semantics for Robotic Mapping, Perception and Interaction: A Survey S Garg, N Sünderhauf, F Dayoub, D Morrison, A Cosgun, G Carneiro, ... Foundations and Trends® in Robotics 8 (1), 1-222, 2021	110	2021
Peduncle detection of sweet pepper for autonomous crop harvesting—combined color and 3-D information I Sa, C Lehnert, A English, C McCool, F Dayoub, B Upcroft, T Perez IEEE Robotics and Automation Letters 2 (2), 765-772, 2017	106	2017
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection D Miller, F Dayoub, M Milford, N Sünderhauf IEEE International Conference on Robotics and Automation (ICRA), 2019	101	2019
Long-term experiments with an adaptive spherical view representation for navigation in changing environments F Dayoub, G Cielniak, T Duckett Robotics and Autonomous Systems 59 (5), 285-295, 2011	80	2011
Visual detection of occluded crop: For automated harvesting C McCool, I Sa, F Dayoub, C Lehnert, T Perez, B Upcroft 2016 IEEE International Conference on Robotics and Automation (ICRA), 2506-2512, 2016	74	2016
Class anchor clustering: A loss for distance-based open set recognition D Miller, N Sunderhauf, M Milford, F Dayoub Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	73	2021
Robotic detection and tracking of Crown-Of-Thorns starfish F Dayoub, M Dunbabin, P Corke IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg …, 2015	47	2015
Vision-only autonomous navigation using topometric maps F Dayoub, T Morris, B Upcroft, P Corke IEEE/RSJ International Conference on Intelligent Robots and Systems November …, 2013	47	2013
Robust re-identification of manta rays from natural markings by learning pose invariant embeddings O Moskvyak, F Maire, F Dayoub, AO Armstrong, M Baktashmotlagh 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2021	36	2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends QM Rahman, P Corke, F Dayoub IEEE Access 9, 20067-20075, 2021	36	2021

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