| Simple online and realtime tracking with a deep association metric N Wojke, A Bewley, D Paulus International Conference on Image Processing (ICIP), 2017 | 1755 | 2017 |
| 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 | 1686 | 2016 |
| Learning to Drive in a Day A Kendall, J Hawke, D Janz, P Mazur, D Reda, JM Allen, VD Lam, ... Proceedings of the International Conference on Robotics and Automation (ICRA), 2019 | 370 | 2019 |
| Deep Cosine Metric Learning for Person Re-Identification N Wojke, A Bewley Winter Conference on Applications of Computer Vision (WACV), 2018 | 254 | 2018 |
| Incremental Adversarial Domain Adaptation for Continually Changing Environments M Wulfmeier, A Bewley, I Posner International Conference on Robotics and Automation (ICRA), 2018 | 86 | 2018 |
| Learning to Drive from Simulation without Real World Labels A Bewley, J Rigley, Y Liu, J Hawke, R Shen, VD Lam, A Kendall Proceedings of the International Conference on Robotics and Automation (ICRA), 2019 | 77 | 2019 |
| Hierarchical attentive recurrent tracking AR Kosiorek, A Bewley, I Posner Advances in Neural Information Processing Systems (NIPS), 2017 | 67 | 2017 |
| Addressing appearance change in outdoor robotics with adversarial domain adaptation M Wulfmeier, A Bewley, I Posner 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 64 | 2017 |
| Fine-grained classification via mixture of deep convolutional neural networks ZY Ge, A Bewley, C McCool, P Corke, B Upcroft, C Sanderson 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-6, 2016 | 57 | 2016 |
| Alextrac: Affinity learning by exploring temporal reinforcement within association chains A Bewley, L Ott, F Ramos, B Upcroft 2016 IEEE International conference on robotics and automation (ICRA), 2212-2218, 2016 | 40 | 2016 |
| Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection A Bewley, P Sun, T Mensink, D Anguelov, C Sminchisescu Conference on Robot Learning (CoRL), 2020 | 36 | 2020 |
| Online self-supervised multi-instance segmentation of dynamic objects A Bewley, V Guizilini, F Ramos, B Upcroft Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1296-1303, 2014 | 34 | 2014 |
| Real-time volume estimation of a dragline payload A Bewley, R Shekhar, S Leonard, B Upcroft, P Lever 2011 IEEE International Conference on Robotics and Automation, 1571-1576, 2011 | 31 | 2011 |
| Advantages of Exploiting Projection Structure for Segmenting Dense 3D Point Clouds A Bewley, B Upcroft Australian Conference on Robotics and Automation, 2013 | 29 | 2013 |
| Rsn: Range sparse net for efficient, accurate lidar 3d object detection P Sun, W Wang, Y Chai, G Elsayed, A Bewley, X Zhang, C Sminchisescu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| Fine-Grained Bird Species Recognition via Hierarchical Subset Learning ZY Ge, C McCool, C Sanderson, A Bewley, Z Chen, P Corke International Conference on Image Processing (ICIP), 2015 | 25 | 2015 |
| Scene transformer: A unified multi-task model for behavior prediction and planning J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv e-prints, arXiv: 2106.08417, 2021 | 20 | 2021 |
| Measurement of bulk density of the payload in a dragline bucket B Upcroft, RC Shekhar, AJ Bewley, PJA Lever US Patent 8,930,091, 2015 | 18 | 2015 |
| Dropout distillation for efficiently estimating model confidence C Gurau, A Bewley, I Posner arXiv preprint arXiv:1809.10562, 2018 | 16 | 2018 |
| From imagenet to mining: Adapting visual object detection with minimal supervision A Bewley, B Upcroft Field and Service Robotics, 501-514, 2016 | 11 | 2016 |
Ben UpcroftOxboticaVerified email at oxbotica.com
