Dr Feras Dayoub
This person does not currently hold a position at QUT.
Personal details
Keywords
Robotic Vision, Machine learning, Mobile robots
Research field
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD in Robotics and Computer Vision (University of Lincoln, Lincoln)
Teaching
2021: EGB439 - Advanced Robotics - Unit Coordinator/Lecturer. CAB202 - Microprocessors and Digital Systems - Lecturer. 2020: EGB439 - Advanced Robotics -Unit Coordinator/Lecturer. EGB419 - Mechatronics Design 3 - Lecturer. CAB202 - Microprocessors and Digital Systems - Lecturer. 2019: EGB439 - Advanced Robotics - Lecturer. EGB419 - Mechatronics Design 3 - Lecturer. 2018: EGB439 - Advanced Robotics - Lecturer. 2017: EGB439 - Advanced Robotics - Lecturer. link to slides
2016: CAB202 - Microprocessors and Digital Systems - Lecturer.
Publications
- Rahman, Q., Corke, P. & Dayoub, F. (2021). Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. IEEE Access, 9, 20067–20075. https://eprints.qut.edu.au/207705
- Moskvyak, O., Maire, F., Dayoub, F. & Baktashmotlagh, M. (2021). Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification. Proceedings of the 2021 Winter Conference on Applications of Computer Vision (WACV '21), 676–685. https://eprints.qut.edu.au/207451
- Talbot, B., Dayoub, F., Corke, P. & Wyeth, G. (2021). Robot navigation in unseen spaces using an abstract map. IEEE Transactions on Cognitive and Developmental Systems, 13(4), 791– 805. https://eprints.qut.edu.au/201947
- Hall, D., Dayoub, F., Skinner, J., Zhang, H., Miller, D., Corke, P., Carneiro, G., Angelova, A. & Sünderhauf, N. (2020). Probabilistic object detection: Definition and evaluation. Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1020–1029. https://eprints.qut.edu.au/201949
- Hall, D., Dayoub, F., Perez, T. & McCool, C. (2018). A rapidly deployable classification system using visual data for the application of precision weed management. Computers and Electronics in Agriculture, 148, 107–120. https://eprints.qut.edu.au/117663
- Miller, D., Nicholson, L., Dayoub, F. & Suenderhauf, N. (2018). Dropout sampling for robust object detection in open-set conditions. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), 3243–3249. https://eprints.qut.edu.au/122856
- Sa, I., Ge, Z., Dayoub, F., Upcroft, B., Perez, T. & McCool, C. (2016). DeepFruits: A fruit detection system using deep neural networks. Sensors, 16(8), 1–23. https://eprints.qut.edu.au/98421
- Suenderhauf, N., Dayoub, F., Mcmahon, S., Talbot, B., Schulz, R., Corke, P., Wyeth, G., Upcroft, B. & Milford, M. (2016). Place categorization and semantic mapping on a mobile robot. Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 5729–5736. https://eprints.qut.edu.au/95288
- McCool, C., Sa, I., Dayoub, F., Lehnert, C., Perez, T. & Upcroft, B. (2016). Visual detection of occluded crop: For automated harvesting. Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2506–2512. https://eprints.qut.edu.au/94274
- Suenderhauf, N., Shirazi, S., Jacobson, A., Dayoub, F., Pepperell, E., Upcroft, B. & Milford, M. (2015). Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free. Robotics: Science and Systems XI, 1–10. https://eprints.qut.edu.au/84931
QUT ePrints
For more publications by Feras, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Certificate of appreciation in recognition of outstanding contribution to the 2019 QUT STEM Camp
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Centre Citizen
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Team Project.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2018
- Details
- Award for best-profile raising event in robotics and CV communities (2018).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2018
- Details
- Associated editor for the IEEE RA-L Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies (2018).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2018
- Details
- Associate Editor, IEEE Robotics and Automation Letters (RA-L)
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2016
- Details
- Finalist for the Australian Museum Eureka Prizes, Environmental Research, the CotsBot project.
- Type
- Funding Award
- Reference year
- 2016
- Details
- The people's choice vote in the Google Impact Challenge Australia.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2015
- Details
- QUT Vice Chancellor's Performance Award, 2015
Selected research projects
- Title
- ARC Centre of Excellence for Robotic Vision (ACRV)
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- CE140100016
- Start year
- 2014
- Keywords
- Robotic Vision; Robotics; Computer Vision
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Semi-Supervised Continual Active Learning for Robotic Object Detection
PhD, Associate Supervisor
Other supervisors: Professor Niko Suenderhauf - Robot Localization in GPS-denied Urban Areas Using Cross-View Imagery Matching
PhD, Principal Supervisor
Other supervisors: Professor Michael Milford