Feras Dayoub
Feras Dayoub
The University of Adelaide - Australian Institute for Machine Learning (AIML)
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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