Up-to-date list available on my GScholar profile
VarifocalNet: An IoU-aware dense object detector
Zhang, H., Wang, Y., Dayoub, F., & Sünderhauf, N.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Semi-supervised Keypoint Localization
Moskvyak, O., Maire, F., Dayoub, F., & Baktashmotlagh, M.
International Conference on Learning Representations (ICLR) 2021
Class anchor clustering: A loss for distance-based open set recognition
Miller, D., Sunderhauf, N., Milford, M., & Dayoub, F.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
Keypoint-aligned embeddings for image retrieval and re-identification
Moskvyak, O., Maire, F., Dayoub, F., & Baktashmotlagh, M.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends [pdf]
Marufur Rahman, Q., Corke, P., & Dayoub, F.
IEEE Access, 2021
Robot Navigation in Unseen Spaces using an Abstract Map.
Talbot, B., Dayoub, F., Corke, P., & Wyeth, G.
IEEE Transactions on Cognitive and Developmental Systems. 2020
Probabilistic object detection: Definition and evaluation.
Hall, D., Dayoub, F., Skinner, J., Zhang, H., Miller, D., Corke, P., … & Sünderhauf, N. IEEE Winter Conference on Applications of Computer Vision (pp. 1031-1040), 2020.
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors.
Rahman, Q. M., Sünderhauf, N., & Dayoub, F.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
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
Predictive and adaptive maps for long-term visual navigation in changing environments.
Halodová, L., Dvořráková, E., Majer, F., Vintr, T., Mozos, O. M., Dayoub, F., & Krajník, T.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
A rapidly deployable classification system using visual data for the application of precision weed management
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
Computers and Electronics in Agriculture 148, 107-120, 2018
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
Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles
A McFadyen, F Dayoub, S Martin, J Ford, P Corke
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
A Transplantable System for Weed Classification by Agricultural Robotics
David Hall, Feras Dayoub, Tristan Perez, Chris McCool.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [pdf]
Robot for weed species plant-specific management
Owen Bawden, Jason Kulk, Ray Russell, Christopher McCool, Andrew English, Feras Dayoub, et al.
Journal of Field Robotics 2017 [link]
Episode-based active learning with Bayesian neural networks
Feras Dayoub, Niko Suenderhauf and Peter Corke.
In Workshop on Deep Learning for Robotic Vision, Computer Vision and Pattern Recognition (CVPR), 2017 [pdf]
Towards Unsupervised Weed Scouting for Agricultural Robotics
David Hall, Feras Dayoub, Jason Kulk, Chris McCool.
IEEE International Conference on Robotics and Automation (ICRA), 2017 [pdf]
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting – Combined Colour and 3D Information
I. Sa; C. Lehnert; A. English; C. McCool; Feras Dayoub; B. Upcroft; T. Perez.
IEEE Robotics and Automation Letters 2017. [link] [pdf]
DeepFruits: A Fruit Detection System Using Deep Neural Networks
Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez and Chris McCool
Sensors 2016, 16, 1222. [link]
Place categorization and semantic mapping on a mobile robot
Niko Sunderhauf, Feras Dayoub, Sean McMahon, Ben Talbot, Ruth Schulz, Peter Corke, Gordon Wyeth, Ben Upcroft, Michael Milford.
IEEE International Conference on Robotics and Automation (ICRA), 2016. [PDF]
Find my office: Navigating real space from semantic descriptions
Ben Talbot, Obadiah Lam, Ruth Schulz, Feras Dayoub, Ben Upcroft, and Gordon Wyeth.
IEEE International Conference on Robotics and Automation (ICRA), 2016.
Visual Detection of Occluded Crop: for automated harvesting
Christopher McCool, Inkyu Sa, Feras Dayoub, Christopher Lehnert, Tristan Perez and Ben Upcroft.
IEEE International Conference on Robotics and Automation (ICRA), 2016.
Robotic Detection and Tracking of Crown-of-Thorns Starfish
Feras Dayoub, Matthew Dunbabin and Peter Corke.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free
Sunderhauf, N., Shirazi, S., Jacobson, A., Dayoub, F., Pepperell, E., Upcroft, B., & Milford, M.
Proceedings of Robotics: Science and Systems XII, (RSS). 2015.
Rubbing Shoulders With Mobile Service Robots
Feras Dayoub, Tim Morris, Peter Corke.
Access, IEEE, vol.3, no., pp.333,342, 2015.[PDF]
Robot Navigation Using Human Cues: A robot navigation system for symbolic goal-directed exploration
Ruth Schulz, Ben Talbot, Obadiah Lam, Feras Dayoub, Peter Corke, Ben Upcroft, and Gordon Wyeth
IEEE International Conference on Robotics and Automation (ICRA), 2015
Evaluation of features for leaf classification in challenging conditions
D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft
In IEEE Winter Conference on Applications of Computer Vision (WACV 2015), 6-9 January 2015, Big Island, Hawaii, USA. 2015
Text recognition approaches for indoor robotics: a comparison
O Lam, F Dayoub, R Schulz, P Corke
In 2014 Australasian Conference on Robotics and Automation 2014
Simultaneous localization and planning on multiple map hypotheses
T Morris, F Dayoub, P Corke, B Upcroft
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International 2014
Multiple map hypotheses for planning and navigating in non-stationary environments
T Morris, F Dayoub, P Corke, G Wyeth, B Upcroft
IEEE International Conference on Robotics and Automation (ICRA), 2014
Eight weeks of episodic visual navigation inside a non-stationary environment using adaptive spherical views
F Dayoub, G Cielniak, T Duckett
FSR2013 The 9th International Conference on Field and Service Robotics 2013
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
One robot, eight hours, and twenty four thousand people
F Dayoub, T Morris, B Upcroft, P Corke
Australasian Conference on Robotics & Automation (ACRA2013), 2-4 December 2013
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) 2011
A sparse hybrid map for vision-guided mobile robots
F Dayoub, G Cielniak, T Duckett
Proc. of European Conference on Mobile Robots-ECMR 2011
Long-term experiment using an adaptive appearance-based map for visual navigation by mobile robots
F Dayoub, G Cielniak, T Duckett
Towards Autonomous Robotic Systems, 400-401 2011
Short-and long-term adaptation of visual place memories for mobile robots
F Dayoub, T Duckett, G Cielniak
Remembering who we are-human memory for artificial agents symposium, AISB 2010
Toward an object-based semantic memory for long-term operation of mobile service robots
F Dayoub, T Duckett, G Cielniak 2010
An adaptive spherical view representation for navigation in changing environments
F Dayoub, T Duckett, G Cielniak
European Conference on Mobile Robots-ECMR 2009
An adaptive appearance-based map for long-term topological localization of mobile robots
F Dayoub, T Duckett
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International 2008