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
Haoyang ZhangHorizon.AIVerified email at horizon.ai
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Dimity MillerQueensland University of TechnologyVerified email at qut.edu.au
David HallResearch Scientist, CSIROVerified email at csiro.au
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraVerified email at global.tencent.com
Tom DuckettUniversity of LincolnVerified email at lincoln.ac.uk
Chris Lehnertsenior lecturer, Queensland University of TechnologyVerified email at qut.edu.au
Ruth SchulzUniversity of StuttgartVerified email at ipvs.uni-stuttgart.de
Quazi Marufur RahmanQueensland University of TechnologyVerified email at connect.qut.edu.au
Grzegorz CielniakProfessor in Robotics, University of LincolnVerified email at lincoln.ac.uk
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyVerified email at surrey.ac.uk
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideVerified email at adelaide.edu.au
Mahsa BaktashmotlaghUniversity of QueenslandVerified email at uq.edu.au
Olga MoskvyakQueensland University of TechnologyVerified email at hdr.qut.edu.au
Sourav GargAIML, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideVerified 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	1173	2016
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	992	2021
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	667	2015
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	495	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	296	2018
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	211	2017
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	181	2016
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	158	2020
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	155	2021
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	150	2015
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	143	2021
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	133	2019
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	128	2017
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	128	2008
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	94	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	85	2016
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	70	2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection D Miller, N Sünderhauf, M Milford, F Dayoub IEEE Robotics and Automation Letters 7 (1), 215-222, 2022	57	2022
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	55	2015
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	52	2021

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