Nicolas Carion
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering
- Signal Processing
- Aerospace Engineering
- Co-authors
- Gabriel SynnaeveIshan MisraAishwarya KamathYann LeCunMannat SinghAndreas KrauseFelix BerkenkampAngela P. Schoellig
- Topics
- Domain Adaptation and Few-Shot Learning (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)Multimodal Machine Learning Applications (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceControl and Systems Engineering
- Journals
- IFAC-PapersOnLine2021 IEEE/CVF International Conference on Computer Vision (ICCV)arXiv (Cornell University)
- Partner nations
- IsraelSwitzerlandUnited States
In The Last Decade
Nicolas Carion
6 papers receiving 422 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 336
- Artificial Intelligence 245
- Control and Systems Engineering 27
- Signal Processing 12
- Aerospace Engineering 12
Countries citing papers authored by Nicolas Carion
This map shows the geographic impact of Nicolas Carion'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 Nicolas Carion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Carion more than expected).
Fields of papers citing papers by Nicolas Carion
This network shows the impact of papers produced by Nicolas Carion. 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 Nicolas Carion. The network helps show where Nicolas Carion may publish in the future.
Co-authorship network of co-authors of Nicolas Carion
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Carion. A scholar is included among the top collaborators of Nicolas Carion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Carion. Nicolas Carion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | MDETR - Modulated Detection for End-to-End Multi-Modal Understandingbreakdown → | 379 |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 29 |
About Nicolas Carion
Nicolas Carion is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 6 papers that have together received 435 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Artificial Intelligence (245 citations) and Control and Systems Engineering (27 citations). Nicolas Carion has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Gabriel Synnaeve, Ishan Misra, Aishwarya Kamath, Yann LeCun, Mannat Singh, Andreas Krause, Felix Berkenkamp, Angela P. Schoellig, Nicolas Usunier and Alessandro Lazaric. Their work appears in journals such as IFAC-PapersOnLine, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).
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.