Jack Valmadre
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
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- Fire Detection and Safety Systems
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 4
- Video Surveillance and Tracking Methods 3
- Optical measurement and interference techniques 3
- Advanced Image and Video Retrieval Techniques 2
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Luca BertinettoPhilip H. S. TorrAndrea VedaldiJoão HenriquesSimon LuceyJoão F. HenriquesCordelia SchmidAhmet İşcen
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)QUT ePrints (Queensland University of Technology) (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jack Valmadre
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 1.2k
- Safety, Risk, Reliability and Quality 323
- Aerospace Engineering 336
- Global and Planetary Change 161
- Media Technology 55
Countries citing papers authored by Jack Valmadre
This map shows the geographic impact of Jack Valmadre'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 Jack Valmadre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Valmadre more than expected).
Fields of papers citing papers by Jack Valmadre
This network shows the impact of papers produced by Jack Valmadre. 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 Jack Valmadre. The network helps show where Jack Valmadre may publish in the future.
Co-authors
The 17 scholars most cited alongside Jack Valmadre, 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 | 2022 | 51 | |
| 2 | End-to-end representation learning for Correlation Filter based tracking Hit paper breakdown → | 2017 | 1029 |
| 3 | Learning feed-forward one-shot learners | 2016 | 88 |
| 4 | 2016 | 11 | |
| 5 | 2015 | 3 | |
| 6 | 2015 | 29 | |
| 7 | 2012 | 32 | |
| 8 | Camera-less Articulated Trajectory Reconstruction | 2012 | 4 |
About Jack Valmadre
Jack Valmadre is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Infectious Diseases, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (3 papers), Optical measurement and interference techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), 3D Shape Modeling and Analysis (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Safety, Risk, Reliability and Quality (323 citations), Aerospace Engineering (336 citations), Global and Planetary Change (161 citations) and Media Technology (55 citations). Jack Valmadre has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Luca Bertinetto, Philip H. S. Torr, Andrea Vedaldi, João Henriques, Simon Lucey, João F. Henriques, Cordelia Schmid, Ahmet İşcen, Anurag Arnab and Hilton Bristow. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Oxford University Research Archive (ORA) (University of Oxford), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and QUT ePrints (Queensland University of Technology).
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.