Feras Dayoub

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Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsDirección de correo verificada de qut.edu.au
Ben UpcroftOxboticaDirección de correo verificada de oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Dirección de correo verificada de qut.edu.au
Chris McCoolProfessor, University of BonnDirección de correo verificada de uni-bonn.de
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowDirección de correo verificada de qut.edu.au
Haoyang ZhangHorizon.AIDirección de correo verificada de horizon.ai
Dimity MillerQueensland University of TechnologyDirección de correo verificada de qut.edu.au
David HallResearch Scientist, CSIRODirección de correo verificada de csiro.au
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraDirección de correo verificada de global.tencent.com
Tom DuckettUniversity of LincolnDirección de correo verificada de lincoln.ac.uk
Chris Lehnertsenior lecturer, Queensland University of TechnologyDirección de correo verificada de qut.edu.au
Ruth SchulzUniversity of StuttgartDirección de correo verificada de ipvs.uni-stuttgart.de
Quazi Marufur RahmanQueensland University of TechnologyDirección de correo verificada de connect.qut.edu.au
Grzegorz CielniakProfessor in Robotics, University of LincolnDirección de correo verificada de lincoln.ac.uk
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyDirección de correo verificada de surrey.ac.uk
Mahsa BaktashmotlaghUniversity of QueenslandDirección de correo verificada de uq.edu.au
Olga MoskvyakQueensland University of TechnologyDirección de correo verificada de hdr.qut.edu.au
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideDirección de correo verificada de adelaide.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Dirección de correo verificada de hdr.qut.edu.au
Sourav GargAIML, University of Adelaide, AustraliaDirección de correo verificada de adelaide.edu.au

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Feras Dayoub

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

Dirección de correo verificada de adelaide.edu.au - Página principal

Mobile Robotics Robotic Vision Robot Learning Field Robotics Chronorobotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1102	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	855	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	649	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	490	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	276	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	188	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	177	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	148	2020
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	148	2015
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	146	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	126	2019
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	126	2008
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	124	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	122	2017
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	90	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	80	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	59	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	54	2015
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	48	2022
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	47	2021

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