Quentin Duval
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
Papers in
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Video Analysis and Summarization 1
- Handwritten Text Recognition Techniques 1
- Face recognition and analysis 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Ishan Misra (3 shared papers)Mahmoud Assran (1 shared paper)Michael Rabbat (1 shared paper)Yann LeCun (1 shared paper)Nicolas Ballas (1 shared paper)P. Vincent (1 shared paper)Piotr Bojanowski (1 shared paper)Rohit Girdhar (2 shared papers)
- Partner nations
- GermanyFinlandSaudi Arabia
In The Last Decade
Quentin Duval
6 papers receiving 234 citations
Quentin Duval's Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 105
- Health Informatics 4
- Computer Graphics and Computer-Aided Design 11
- Artificial Intelligence 77
- Media Technology 17
Countries citing papers authored by Quentin Duval
This map shows the geographic impact of Quentin Duval'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 Quentin Duval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Duval more than expected).
Fields of papers citing papers by Quentin Duval
This network shows the impact of papers produced by Quentin Duval. 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 Quentin Duval. The network helps show where Quentin Duval may publish in the future.
Co-authors
The 25 scholars most cited alongside Quentin Duval, 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 | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Hit paper breakdown → | 2023 | 157 |
| 2 | 2024 | 37 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 15 | |
| 5 | 2009 | 8 | |
| 6 | 2016 | 3 |
About Quentin Duval
Quentin Duval is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Mechanical Engineering, having authored 6 papers that have together received 242 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Video Analysis and Summarization (1 paper), Handwritten Text Recognition Techniques (1 paper), Face recognition and analysis (1 paper), Advanced Optical Network Technologies (1 paper) and Network Time Synchronization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Health Informatics (4 citations), Computer Graphics and Computer-Aided Design (11 citations), Artificial Intelligence (77 citations) and Media Technology (17 citations). Quentin Duval has collaborated with scholars based in Germany, Finland and Saudi Arabia. Frequent co-authors include Ishan Misra, Mahmoud Assran, Michael Rabbat, Yann LeCun, Nicolas Ballas, P. Vincent, Piotr Bojanowski, Rohit Girdhar, Mannat Singh and Aaron Adcock. Their work appears in journals such as Fluid Phase Equilibria and Lecture notes in computer science.
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.