Ignacio Rocco
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Vision and Imaging 7
- Advanced Image and Video Retrieval Techniques 6
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 2
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Josef Šivic (5 shared papers)Tomáš Pajdla (2 shared papers)Akihiko Torii (2 shared papers)Marc Pollefeys (1 shared paper)Torsten Sattler (1 shared paper)Mihai Dusmanu (1 shared paper)Relja Arandjelović (4 shared papers)Natalia Neverova (6 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Lecture notes in computer science (3 papers)arXiv (Cornell University) (1 paper)Chalmers Research (Chalmers University of Technology) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Ignacio Rocco
12 papers receiving 1.2k citations
Ignacio Rocco's Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 1.0k
- Aerospace Engineering 689
- Geology 104
- Media Technology 65
- Computer Graphics and Computer-Aided Design 22
Countries citing papers authored by Ignacio Rocco
This map shows the geographic impact of Ignacio Rocco'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 Ignacio Rocco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Rocco more than expected).
Fields of papers citing papers by Ignacio Rocco
This network shows the impact of papers produced by Ignacio Rocco. 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 Ignacio Rocco. The network helps show where Ignacio Rocco may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Rocco, 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 | D2-Net: A Trainable CNN for Joint Description and Detection of Local Features Hit paper breakdown → | 2019 | 790 |
| 2 | 2020 | 122 | |
| 3 | CoTracker: It Is Better to Track Together Hit paper breakdown → | 2024 | 81 |
| 4 | 2018 | 80 | |
| 5 | 2020 | 65 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 0 | |
| 14 | 2018 | 0 |
About Ignacio Rocco
Ignacio Rocco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Human Pose and Action Recognition (4 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Neural Network Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Aerospace Engineering (689 citations), Geology (104 citations), Media Technology (65 citations) and Computer Graphics and Computer-Aided Design (22 citations). Ignacio Rocco has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Josef Šivic, Tomáš Pajdla, Akihiko Torii, Marc Pollefeys, Torsten Sattler, Mihai Dusmanu, Relja Arandjelović, Natalia Neverova, Andrea Vedaldi and Benjamin A.T. Graham. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, arXiv (Cornell University), Chalmers Research (Chalmers University of Technology) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.