| Simple online and realtime tracking with a deep association metric N Wojke, A Bewley, D Paulus International Conference on Image Processing (ICIP), 2017 | 4906 | 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 | 4356 | 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 | 837 | 2019 |
| Deep Cosine Metric Learning for Person Re-Identification N Wojke, A Bewley Winter Conference on Applications of Computer Vision (WACV), 2018 | 503 | 2018 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 281 | 2023 |
| Scene transformer: A unified architecture for predicting multiple agent trajectories J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417, 2021 | 266 | 2021 |
| 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 | 183 | 2021 |
| Incremental Adversarial Domain Adaptation for Continually Changing Environments M Wulfmeier, A Bewley, I Posner International Conference on Robotics and Automation (ICRA), 2018 | 148 | 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 | 134 | 2019 |
| 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 | 123 | 2020 |
| 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 | 87 | 2017 |
| Hierarchical attentive recurrent tracking AR Kosiorek, A Bewley, I Posner Advances in Neural Information Processing Systems (NIPS), 2017 | 82 | 2017 |
| 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 preprint arXiv:2106.08417 2 (7), 2021 | 78 | 2021 |
| 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 | 72 | 2016 |
| Open X-Embodiment: Robotic learning datasets and RT-X models OXE Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, ... arXiv preprint arXiv:2310.08864 1 (2), 2023 | 60 | 2023 |
| 2016 IEEE international conference on image processing (ICIP) A Bewley, Z Ge, L Ott, F Ramos, B Upcroft IEEE,, 2016 | 60 | 2016 |
| i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ... Conference on Robot Learning, 212-224, 2022 | 53 | 2022 |
| 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 | 52 | 2016 |
| 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 | 48 | 2014 |
| Advantages of Exploiting Projection Structure for Segmenting Dense 3D Point Clouds A Bewley, B Upcroft Australian Conference on Robotics and Automation, 2013 | 33 | 2013 |
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