| Simple online and realtime tracking A Bewley, Z Ge, L Ott, F Ramos, B Upcroft 2016 IEEE international conference on image processing (ICIP), 3464-3468, 2016 | 857 | 2016 |
| 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 | 498 | 2016 |
| Dynamical tunnelling of ultracold atoms WK Hensinger, H Häffner, A Browaeys, NR Heckenberg, K Helmerson, ... Nature 412 (6842), 52-55, 2001 | 405 | 2001 |
| 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 | 398 | 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 | 331 | 2015 |
| The limits and potentials of deep learning for robotics N Sünderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, B Upcroft, ... The International Journal of Robotics Research 37 (4-5), 405-420, 2018 | 229 | 2018 |
| Towards vision-based deep reinforcement learning for robotic motion control F Zhang, J Leitner, M Milford, B Upcroft, P Corke arXiv preprint arXiv:1511.03791, 2015 | 210 | 2015 |
| Deep learning features at scale for visual place recognition Z Chen, A Jacobson, N Sünderhauf, B Upcroft, L Liu, C Shen, I Reid, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 3223-3230, 2017 | 200 | 2017 |
| Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles W Maddern, A Stewart, C McManus, B Upcroft, W Churchill, P Newman Proceedings of the Visual Place Recognition in Changing Environments …, 2014 | 148 | 2014 |
| Scene signatures: localised and point-less features for localisation C McManus, B Upcroft, P Newmann Robotics: Science and Systems, 2014 | 122 | 2014 |
| 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 | 102 | 2016 |
| Mixtures of lightweight deep convolutional neural networks: Applied to agricultural robotics C McCool, T Perez, B Upcroft IEEE Robotics and Automation Letters 2 (3), 1344-1351, 2017 | 86 | 2017 |
| Vision‐based obstacle detection and navigation for an agricultural robot D Ball, B Upcroft, G Wyeth, P Corke, A English, P Ross, T Patten, R Fitch, ... Journal of field robotics 33 (8), 1107-1130, 2016 | 82 | 2016 |
| Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft 2015 IEEE Winter Conference on Applications of Computer Vision, 797-804, 2015 | 79 | 2015 |
| Decentralised particle filtering for multiple target tracking in wireless sensor networks LL Ong, T Bailey, H Durrant-Whyte, B Upcroft 2008 11th International Conference on Information Fusion, 1-8, 2008 | 79 | 2008 |
| Quantifying multiscale habitat structural complexity: a cost-effective framework for underwater 3D modelling R Ferrari, D McKinnon, H He, RN Smith, P Corke, M González-Rivero, ... Remote Sensing 8 (2), 113, 2016 | 65 | 2016 |
| Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition M Milford, C Shen, S Lowry, N Suenderhauf, S Shirazi, G Lin, F Liu, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 61 | 2015 |
| The Catlin Seaview Survey–kilometre‐scale seascape assessment, and monitoring of coral reef ecosystems M González‐Rivero, P Bongaerts, O Beijbom, O Pizarro, A Friedman, ... Aquatic Conservation: Marine and Freshwater Ecosystems 24 (S2), 184-198, 2014 | 60 | 2014 |
| A decentralised particle filtering algorithm for multi-target tracking across multiple flight vehicles LL Ong, B Upcroft, T Bailey, M Ridley, S Sukkarieh, H Durrant-Whyte 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 57 | 2006 |
| 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 | 54 | 2017 |
Michael MilfordQUT Professor | Director (acting), QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
