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Alex Bewley
Alex Bewley
Google DeepMind
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Titel
Zitiert von
Zitiert von
Jahr
Simple online and realtime tracking with a deep association metric
N Wojke, A Bewley, D Paulus
International Conference on Image Processing (ICIP), 2017
49492017
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
44042016
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
8402019
Deep Cosine Metric Learning for Person Re-Identification
N Wojke, A Bewley
Winter Conference on Applications of Computer Vision (WACV), 2018
5052018
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
359*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
2712021
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
1852021
Incremental Adversarial Domain Adaptation for Continually Changing Environments
M Wulfmeier, A Bewley, I Posner
International Conference on Robotics and Automation (ICRA), 2018
1502018
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
1362019
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
1232020
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
872017
Hierarchical attentive recurrent tracking
AR Kosiorek, A Bewley, I Posner
Advances in Neural Information Processing Systems (NIPS), 2017
822017
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
792021
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
722016
2016 IEEE international conference on image processing (ICIP)
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
IEEE,, 2016
612016
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
552022
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
522016
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
472014
Advantages of Exploiting Projection Structure for Segmenting Dense 3D Point Clouds
A Bewley, B Upcroft
Australian Conference on Robotics and Automation, 2013
332013
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
312015
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