Feras Dayoub

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	Todos	Desde 2018
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Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsEmail confirmado em qut.edu.au
Ben UpcroftOxboticaEmail confirmado em oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Email confirmado em qut.edu.au
Chris McCoolProfessor, University of BonnEmail confirmado em uni-bonn.de
Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowEmail confirmado em qut.edu.au
David HallResearch Scientist, CSIROEmail confirmado em csiro.au
Haoyang ZhangHorizon.AIEmail confirmado em horizon.ai
Dimity MillerQueensland University of TechnologyEmail confirmado em qut.edu.au
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraEmail confirmado em tencent.com
Grzegorz CielniakAssociate Professor in Robotics, University of LincolnEmail confirmado em lincoln.ac.uk
Ruth SchulzUniversity of StuttgartEmail confirmado em ipvs.uni-stuttgart.de
Chris Lehnertsenior lecturer, Queensland University of TechnologyEmail confirmado em qut.edu.au
Quazi Marufur RahmanQueensland University of TechnologyEmail confirmado em hdr.qut.edu.au
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyEmail confirmado em surrey.ac.uk
Mahsa BaktashmotlaghSenior Lecturer at the University of QueenslandEmail confirmado em uq.edu.au
Olga MoskvyakQueensland University of TechnologyEmail confirmado em hdr.qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Email confirmado em hdr.qut.edu.au
Matthew DunbabinQueensland University of Technology (QUT)Email confirmado em qut.edu.au
Anelia AngelovaResearch Scientist, GoogleEmail confirmado em google.com
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideEmail confirmado em adelaide.edu.au

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Feras Dayoub

Senior Lecturer at the University of Adelaide

Email confirmado em adelaide.edu.au - Página inicial

Mobile Robotics Robotic Vision Robot Learning Field Robotics Chronorobotics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	842	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	559	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	422	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	275	2021
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	175	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	148	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	122	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	122	2015
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	107	2008
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	102	2020
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	91	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	84	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	79	2011
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	74	2021
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	72	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	51	2021
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	44	2013
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	41	2015
Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration R Schulz, B Talbot, O Lam, F Dayoub, P Corke, B Upcroft, G Wyeth 2015 IEEE International Conference on Robotics and Automation (ICRA), 1100-1105, 2015	29	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	28	2021

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