Ben Upcroft
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- Advanced Image and Video Retrieval Techniques 22
- Advanced Vision and Imaging 17
- Robotic Path Planning Algorithms 11
- Video Surveillance and Tracking Methods 8
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 47
- Analytical Chemistry top 1%
- Plant Science top 2%
- Smart Agriculture and AI 13
- Geology top 2%
- 3D Surveying and Cultural Heritage 8
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- Target Tracking and Data Fusion in Sensor Networks 22
- Co-authors
- Zongyuan GeAlex BewleyFábio RamosLionel OttFeras DayoubChris McCoolTristán PérezMichael Milford
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ben Upcroft
113 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 3.4k
- Aerospace Engineering 1.8k
- Analytical Chemistry 381
- Plant Science 1.3k
- Geology 191
Countries citing papers authored by Ben Upcroft
This map shows the geographic impact of Ben Upcroft's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Upcroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Upcroft more than expected).
Fields of papers citing papers by Ben Upcroft
This network shows the impact of papers produced by Ben Upcroft. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Upcroft. The network helps show where Ben Upcroft may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben Upcroft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The limits and potentials of deep learning for roboticsbreakdown → | 2018 | 309 |
| 2 | Simple online and realtime trackingbreakdown → | 2016 | 2225 |
| 3 | Transferring Vision-based Robotic Reaching Skills from Simulation to Real World | 2016 | 1 |
| 4 | A robustness analysis of Deep Q Networks | 2016 | 1 |
| 5 | Multimodal deep autoencoders for control of a mobile robot | 2015 | 14 |
| 6 | Continuous factor graphs for holistic scene understanding | 2015 | 2 |
| 7 | Repeatable condition-invariant visual odometry for sequence-based place recognition | 2015 | 1 |
| 8 | Constructing abstract maps from spatial descriptions for goal-directed exploration | 2015 | 1 |
| 9 | Towards vision-based deep reinforcement learning for robotic motion control | 2015 | 9 |
| 10 | Fine-grained plant classification using convolutional neural networks for feature extraction | 2014 | 23 |
| 11 | 2013 | 12 | |
| 12 | One Robot, Eight Hours, and Twenty Four Thousand People | 2013 | 1 |
| 13 | Visual sea-floor mapping from low overlap imagery using bi-objective bundle adjustment and constrained motion | 2012 | 6 |
| 14 | Feature-based visual odometry and featureless place recognition for SLAM in 2.5D environments | 2011 | 3 |
| 15 | Towards Automatic Object Segmentation with Sequential Multiple Views | 2011 | 4 |
| 16 | Unaided stereo vision based pose estimation | 2010 | 25 |
| 17 | Graphcut-based interactive segmentation using colour and depth cues | 2010 | 7 |
| 18 | Bayesian filtering over compressed appearance states | 2007 | 1 |
| 19 | Fast re-parameterisation of Gaussian mixture models for robotics applications | 2004 | 9 |
| 20 | Dynamical Tunneling of Ultracold Atoms | 2001 | 8 |
About Ben Upcroft
Ben Upcroft is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Artificial Intelligence and Media Technology, having authored 114 papers that have together received 6.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (47 papers), Target Tracking and Data Fusion in Sensor Networks (22 papers), Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (17 papers), Smart Agriculture and AI (13 papers), Robotic Path Planning Algorithms (11 papers), Video Surveillance and Tracking Methods (8 papers) and 3D Surveying and Cultural Heritage (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Aerospace Engineering (1.8k citations), Analytical Chemistry (381 citations), Plant Science (1.3k citations) and Geology (191 citations). Ben Upcroft has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Zongyuan Ge, Alex Bewley, Fábio Ramos, Lionel Ott, Feras Dayoub, Chris McCool, Tristán Pérez, Michael Milford, Inkyu Sa and Niko Sünderhauf. Their work appears in journals such as Journal of Field Robotics, Nature, Physical Review A, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.