Real-time volume estimation of a dragline payload. - Alex Bewley; Rajiv Shekhar; Sam Leonard; Ben Upcroft; Paul Lever (ICRA, 2011)

Online self-supervised multi-instance segmentation of dynamic objects. - Alex Bewley; Vitor Campanholo Guizilini; Fabio Tozeto Ramos; Ben Upcroft (ICRA, 2014)

From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision. - Alex Bewley; Ben Upcroft (FSR, 2015)

Fine-grained bird species recognition via hierarchical subset learning. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Alex Bewley; Zetao Chen; Peter I. Corke (ICIP, 2015)

Simple online and realtime tracking. - Alex Bewley; ZongYuan Ge; Lionel Ott; Fabio Tozeto Ramos; Ben Upcroft (ICIP, 2016)

Alextrac: Affinity learning by exploring temporal reinforcement within association chains. - Alex Bewley; Lionel Ott; Fabio Ramos 001; Ben Upcroft (ICRA, 2016)

Fine-grained classification via mixture of deep convolutional neural networks. - ZongYuan Ge; Alex Bewley; Christopher McCool; Peter I. Corke; Ben Upcroft; Conrad Sanderson (WACV, 2016)

Simple online and realtime tracking with a deep association metric. - Nicolai Wojke; Alex Bewley; Dietrich Paulus (ICIP, 2017)

What makes a place? Building bespoke place dependent object detectors for robotics. - Jeffrey Hawke; Alex Bewley; Ingmar Posner (IROS, 2017)

Addressing appearance change in outdoor robotics with adversarial domain adaptation. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (IROS, 2017)

Hierarchical Attentive Recurrent Tracking. - Adam R. Kosiorek; Alex Bewley; Ingmar Posner (NIPS, 2017)

Incremental Adversarial Domain Adaptation. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (CoRR, 2017)

Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine. - Alex Bewley; Ben Upcroft (J. Field Robotics, 2017)

Meshed Up: Learnt Error Correction in 3D Reconstructions. - Michael Tanner; Stefan Saftescu; Alex Bewley; Paul Newman 001 (ICRA, 2018)

Incremental Adversarial Domain Adaptation for Continually Changing Environments. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (ICRA, 2018)

Deep Cosine Metric Learning for Person Re-identification. - Nicolai Wojke; Alex Bewley (WACV, 2018)

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (CoRR, 2018)

Dropout Distillation for Efficiently Estimating Model Confidence. - Corina Gurau; Alex Bewley; Ingmar Posner (CoRR, 2018)

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (BMVC, 2019)

Learning to Drive from Simulation without Real World Labels. - Alex Bewley; Jessica Rigley; Yuxuan Liu 003; Jeffrey Hawke; Richard Shen; Vinh-Dieu Lam; Alex Kendall (ICRA, 2019)

Learning to Drive in a Day. - Alex Kendall; Jeffrey Hawke; David Janz; Przemyslaw Mazur; Daniele Reda; John-Mark Allen; Vinh-Dieu Lam; Alex Bewley; Amar Shah 001 (ICRA, 2019)

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. - Alex Bewley; Pei Sun; Thomas Mensink; Dragomir Anguelov; Cristian Sminchisescu (CoRL, 2020)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. - Pei Sun; Weiyue Wang 002; Yuning Chai; Gamaleldin Elsayed; Alex Bewley; Xiao Zhang; Cristian Sminchisescu; Dragomir Anguelov (CVPR, 2021)

Local Metrics for Multi-Object Tracking. - Jack Valmadre; Alex Bewley; Jonathan Huang; Chen Sun 002; Cristian Sminchisescu; Cordelia Schmid (CoRR, 2021)

Scene Transformer: A unified multi-task model for behavior prediction and planning. - Jiquan Ngiam; Benjamin Caine; Vijay Vasudevan; Zhengdong Zhang; Hao-Tien Lewis Chiang; Jeffrey Ling; Rebecca Roelofs; Alex Bewley; Chenxi Liu 001; Ashish Venugopal; David Weiss 001; Benjamin Sapp; et al. (CoRR, 2021)

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. - Saminda Wishwajith Abeyruwan; Laura Graesser; David B. D'Ambrosio; Avi Singh; Anish Shankar; Alex Bewley; Deepali Jain; Krzysztof Marcin Choromanski; Pannag R. Sanketi (CoRL, 2022)

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. - Jiquan Ngiam; Vijay Vasudevan; Benjamin Caine; Zhengdong Zhang; Hao-Tien Lewis Chiang; Jeffrey Ling; Rebecca Roelofs; Alex Bewley; Chenxi Liu 001; Ashish Venugopal; David J. Weiss; Ben Sapp; et al. (ICLR, 2022)

Large-scale outdoor scene reconstruction and correction with vision. - Michael Tanner; Pedro Piniés; Lina María Paz; Stefan Saftescu; Alex Bewley; Emil T. Jonasson; Paul Newman 001 (Int. J. Robotics Res., 2022)

Video OWL-ViT: Temporally-consistent open-world localization in video. - Georg Heigold; Daniel Keysers; Matthias Minderer; Mario Lucic; Alexey A. Gritsenko; Fisher Yu 001; Alex Bewley; Thomas Kipf (ICCV, 2023)

Agile Catching with Whole-Body MPC and Blackbox Policy Learning. - Saminda Abeyruwan; Alex Bewley; Nicholas Matthew Boffi; Krzysztof Marcin Choromanski; David B. D'Ambrosio; Deepali Jain; Pannag R. Sanketi; Anish Shankar; Vikas Sindhwani; Sumeet Singh; Jean-Jacques E. Slotine; Stephen Tu (L4DC, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

Robots That Can See: Leveraging Human Pose for Trajectory Prediction. - Tim Salzmann; Lewis Chiang; Markus Ryll; Dorsa Sadigh; Carolina Parada; Alex Bewley (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

Robots That Can See: Leveraging Human Pose for Trajectory Prediction. - Tim Salzmann; Hao-Tien Lewis Chiang; Markus Ryll; Dorsa Sadigh; Carolina Parada; Alex Bewley (IEEE Robotics Autom. Lett., 2023)

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection. - Tim Salzmann; Markus Ryll; Alex Bewley; Matthias Minderer (ECCV (84), 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Imitating Language via Scalable Inverse Reinforcement Learning. - Markus Wulfmeier; Michael Bloesch; Nino Vieillard; Arun Ahuja; Jörg Bornschein; Sandy H. Huang; Artem Sokolov; Matt Barnes 001; Guillaume Desjardins; Alex Bewley; Sarah Bechtle; Jost Tobias Springenberg; et al. (NeurIPS, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)

Linear Transformer Topological Masking with Graph Random Features. - Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F. Whitney; Amr Ahmed 001; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Richard E. Turner; et al. (ICLR, 2025)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. - Heni Ben Amor; Laura Graesser; Atil Iscen; David B. D'Ambrosio; Saminda Abeyruwan; Alex Bewley; Yifan Zhou; Kamalesh Kalirathinam; Swaroop Mishra; Pannag Sanketi (CoRR, 2025)