Feras Dayoub

Citirano

	Sve	Od 2019.
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Suautori

Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsPotvrđena adresa e-pošte na qut.edu.au
Ben UpcroftOxboticaPotvrđena adresa e-pošte na oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Potvrđena adresa e-pošte na qut.edu.au
Chris McCoolProfessor, University of BonnPotvrđena adresa e-pošte na uni-bonn.de
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowPotvrđena adresa e-pošte na qut.edu.au
Haoyang ZhangHorizon.AIPotvrđena adresa e-pošte na horizon.ai
Dimity MillerQueensland University of TechnologyPotvrđena adresa e-pošte na qut.edu.au
David HallResearch Scientist, CSIROPotvrđena adresa e-pošte na csiro.au
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraPotvrđena adresa e-pošte na global.tencent.com
Tom DuckettUniversity of LincolnPotvrđena adresa e-pošte na lincoln.ac.uk
Chris Lehnertsenior lecturer, Queensland University of TechnologyPotvrđena adresa e-pošte na qut.edu.au
Ruth SchulzUniversity of StuttgartPotvrđena adresa e-pošte na ipvs.uni-stuttgart.de
Quazi Marufur RahmanQueensland University of TechnologyPotvrđena adresa e-pošte na connect.qut.edu.au
Grzegorz CielniakProfessor in Robotics, University of LincolnPotvrđena adresa e-pošte na lincoln.ac.uk
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyPotvrđena adresa e-pošte na surrey.ac.uk
Mahsa BaktashmotlaghUniversity of QueenslandPotvrđena adresa e-pošte na uq.edu.au
Olga MoskvyakQueensland University of TechnologyPotvrđena adresa e-pošte na hdr.qut.edu.au
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaidePotvrđena adresa e-pošte na adelaide.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Potvrđena adresa e-pošte na hdr.qut.edu.au
Sourav GargAIML, University of Adelaide, AustraliaPotvrđena adresa e-pošte na adelaide.edu.au

Prati

Feras Dayoub

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

Potvrđena adresa e-pošte na adelaide.edu.au - Početna stranica

Mobile Robotics Robotic Vision Robot Learning Field Robotics Chronorobotics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	854	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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