Luca Bertinetto
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- Video Surveillance and Tracking Methods 5
- Visual Attention and Saliency Detection 3
- Advanced Image and Video Retrieval Techniques 2
- Human Pose and Action Recognition 2
- Advanced Neural Network Applications 2
- Image Enhancement Techniques 2
- Aerospace Engineering top 2%
- Global and Planetary Change top 10%
- Media Technology top 5%
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- Domain Adaptation and Few-Shot Learning 2
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- Sparse and Compressive Sensing Techniques 1
- Co-authors
- Philip H. S. TorrAndrea VedaldiJack ValmadreWeiming HuJoão HenriquesLi ZhangQiang WangJoão F. Henriques
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityAerospace Engineering
- Journals
- Oxford University Research Archive (ORA) (University of Oxford) (2 papers)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Luca Bertinetto
8 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 2.1k
- Safety, Risk, Reliability and Quality 505
- Aerospace Engineering 558
- Global and Planetary Change 245
- Media Technology 87
Countries citing papers authored by Luca Bertinetto
This map shows the geographic impact of Luca Bertinetto'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 Luca Bertinetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Bertinetto more than expected).
Fields of papers citing papers by Luca Bertinetto
This network shows the impact of papers produced by Luca Bertinetto. 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 Luca Bertinetto. The network helps show where Luca Bertinetto may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Luca Bertinetto, 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 | 2023 | 55 | |
| 2 | 2022 | 11 | |
| 3 | 2022 | 55 | |
| 4 | 2021 | 2 | |
| 5 | Fast Online Object Tracking and Segmentation: A Unifying Approachbreakdown → | 2019 | 955 |
| 6 | 2019 | 69 | |
| 7 | End-to-end representation learning for Correlation Filter based trackingbreakdown → | 2017 | 1029 |
| 8 | Learning feed-forward one-shot learners | 2016 | 88 |
About Luca Bertinetto
Luca Bertinetto is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 8 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Visual Attention and Saliency Detection (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Human Pose and Action Recognition (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image Enhancement Techniques (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Safety, Risk, Reliability and Quality (505 citations) and Aerospace Engineering (558 citations). Luca Bertinetto has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Philip H. S. Torr, Andrea Vedaldi, Jack Valmadre, Weiming Hu, João Henriques, Li Zhang, Qiang Wang, Qiang Wang, João F. Henriques and Ismail Ben Ayed. Their work appears in journals such as Oxford University Research Archive (ORA) (University of Oxford), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.
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.