Alex Bewley

65 papers A* 16A 5B 3Misc 2Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Achieving Human Level Competitive Robot Table Tennis.
ICRA
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, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2025 A* conf
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
ICML
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
2025 J jnl
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
CoRR
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2025 A* conf
Linear Transformer Topological Masking with Graph Random Features.
ICLR
Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski
2025 A* conf
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement.
ICRA
Heni Ben Amor, Laura Graesser, Atil Iscen, David B. D'Ambrosio, Saminda Abeyruwan, Alex Bewley, Yifan Zhou, Kamalesh Kalirathinam, Swaroop Mishra, Pannag Sanketi
2025 J jnl
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement.
CoRR
Heni Ben Amor, Laura Graesser, Atil Iscen, David B. D'Ambrosio, Saminda Abeyruwan, Alex Bewley, Yifan Zhou, Kamalesh Kalirathinam, Swaroop Mishra, Pannag Sanketi
2024 J jnl
Achieving Human Level Competitive Robot Table Tennis.
CoRR
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, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2024 A* conf
Imitating Language via Scalable Inverse Reinforcement Learning.
NeurIPS
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024 J jnl
Imitating Language via Scalable Inverse Reinforcement Learning.
CoRR
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024 — conf
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
Robotics: Science and Systems
Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Kenneth Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada
2024 J jnl
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR
Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada
2024 J jnl
Linear Transformer Topological Masking with Graph Random Features.
CoRR
Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024 — conf
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection.
ECCV (84)
Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer
2024 J jnl
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection.
CoRR
Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer
2023 — conf
Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
L4DC
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
2023 J jnl
Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
CoRR
Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023 J jnl
Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR
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, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.
2023 — conf
Robotic Table Tennis: A Case Study into a High Speed Learning System.
Robotics: Science and Systems
David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser
2023 J jnl
Robotic Table Tennis: A Case Study into a High Speed Learning System.
CoRR
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, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu
2023 J jnl
Robots That Can See: Leveraging Human Pose for Trajectory Prediction.
CoRR
Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
2023 J jnl
Robots That Can See: Leveraging Human Pose for Trajectory Prediction.
IEEE Robotics Autom. Lett.
Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
2023 A* conf
Video OWL-ViT: Temporally-consistent open-world localization in video.
ICCV
Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf
2023 J jnl
Video OWL-ViT: Temporally-consistent open-world localization in video.
CoRR
Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf
2022 J jnl
Large-scale outdoor scene reconstruction and correction with vision.
Int. J. Robotics Res.
Michael Tanner, Pedro Piniés, Lina María Paz, Stefan Saftescu, Alex Bewley, Emil T. Jonasson, Paul Newman
2022 A* conf
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents.
ICLR
Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens
2022 Misc conf
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.
CoRL
Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi
2022 J jnl
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.
CoRR
Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi
2021 J jnl
Local Metrics for Multi-Object Tracking.
CoRR
Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid
2021 A* conf
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection.
CVPR
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021 J jnl
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection.
CoRR
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021 J jnl
Scene Transformer: A unified multi-task model for behavior prediction and planning.
CoRR
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens
2020 Misc conf
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.
CoRL
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2020 J jnl
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.
CoRR
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2019 A* conf
Learning to Drive from Simulation without Real World Labels.
ICRA
Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall
2019 A* conf
Learning to Drive in a Day.
ICRA
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
2019 A conf
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.
BMVC
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2018 J jnl
Deep Cosine Metric Learning for Person Re-Identification.
CoRR
Nicolai Wojke, Alex Bewley
2018 A conf
Deep Cosine Metric Learning for Person Re-identification.
WACV
Nicolai Wojke, Alex Bewley
2018 J jnl
Dropout Distillation for Efficiently Estimating Model Confidence.
CoRR
Corina Gurau, Alex Bewley, Ingmar Posner
2018 A* conf
Incremental Adversarial Domain Adaptation for Continually Changing Environments.
ICRA
Markus Wulfmeier, Alex Bewley, Ingmar Posner
2018 J jnl
Learning to Drive from Simulation without Real World Labels.
CoRR
Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall
2018 J jnl
Learning to Drive in a Day.
CoRR
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
2018 A* conf
Meshed Up: Learnt Error Correction in 3D Reconstructions.
ICRA
Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman
2018 J jnl
Meshed Up: Learnt Error Correction in 3D Reconstructions.
CoRR
Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman
2018 J jnl
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.
CoRR
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2017 J jnl
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation.
CoRR
Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017 A conf
Addressing appearance change in outdoor robotics with adversarial domain adaptation.
IROS
Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017 J jnl
Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine.
J. Field Robotics
Alex Bewley, Ben Upcroft
2017 — conf
Hierarchical Attentive Recurrent Tracking.
NIPS
Adam R. Kosiorek, Alex Bewley, Ingmar Posner
2017 J jnl
Hierarchical Attentive Recurrent Tracking.
CoRR
Adam R. Kosiorek, Alex Bewley, Ingmar Posner
2017 J jnl
Incremental Adversarial Domain Adaptation.
CoRR
Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017 J jnl
Simple Online and Realtime Tracking with a Deep Association Metric.
CoRR
Nicolai Wojke, Alex Bewley, Dietrich Paulus
2017 B conf
Simple online and realtime tracking with a deep association metric.
ICIP
Nicolai Wojke, Alex Bewley, Dietrich Paulus
2017 J jnl
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics.
CoRR
Jeffrey Hawke, Alex Bewley, Ingmar Posner
2017 A conf
What makes a place? Building bespoke place dependent object detectors for robotics.
IROS
Jeffrey Hawke, Alex Bewley, Ingmar Posner
2016 A* conf
Alextrac: Affinity learning by exploring temporal reinforcement within association chains.
ICRA
Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft
2016 A conf
Fine-grained classification via mixture of deep convolutional neural networks.
WACV
Zongyuan Ge, Alex Bewley, Christopher McCool, Peter I. Corke, Ben Upcroft, Conrad Sanderson
2016 J jnl
Simple Online and Realtime Tracking.
CoRR
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft
2016 B conf
Simple online and realtime tracking.
ICIP
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Tozeto Ramos, Ben Upcroft
2015 J jnl
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks.
CoRR
Zongyuan Ge, Alex Bewley, Christopher McCool, Ben Upcroft, Peter Corke, Conrad Sanderson
2015 B conf
Fine-grained bird species recognition via hierarchical subset learning.
ICIP
Zongyuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke
2015 — conf
From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision.
FSR
Alex Bewley, Ben Upcroft
2014 A* conf
Online self-supervised multi-instance segmentation of dynamic objects.
ICRA
Alex Bewley, Vitor Campanholo Guizilini, Fabio Tozeto Ramos, Ben Upcroft
2011 A* conf
Real-time volume estimation of a dragline payload.
ICRA
Alex Bewley, Rajiv Shekhar, Sam Leonard, Ben Upcroft, Paul Lever