Nicolas Carion

1.8k total citations · 1 hit paper
6 papers, 435 citations indexed

About

Nicolas Carion is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Nicolas Carion has authored 6 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Nicolas Carion's 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). Nicolas Carion is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Nicolas Carion collaborates with scholars based in Israel, Switzerland and United States. Nicolas Carion's 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 and has published in prestigious journals such as IFAC-PapersOnLine, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Nicolas Carion

6 papers receiving 422 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

2021 379 citations Aishwarya Kamath, Mannat Singh et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers

Nicolas Carion

CVPR

AI

CSE

SP

AE

Yuang Liu China

Yuecong Xu Singapore

Xingxuan Zhang China

Aishwarya Kamath United States

Junran Peng China

Wei Qu China

Mingi Ji South Korea

Bing Bai China

Yusheng Cheng China

Jiachen Mao United States

Yuang Liu China

Nicolas Carion

241 ×0.7

CVPR

231 ×0.9

AI

12 ×0.4

CSE

6 ×0.5

SP

10 ×0.8

AE

Citations per year, relative to Nicolas Carion Nicolas Carion (= 1×) peers Yuang Liu

Countries citing papers authored by Nicolas Carion

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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6 of 6 papers shown

1.

Pfeiffer, Jonas, et al.. (2023). Adapting Grounded Visual Question Answering Models to Low Resource Languages. 2596–2605. 5 indexed citations

2.

Carion, Nicolas, et al.. (2023). GeneCIS: A Benchmark for General Conditional Image Similarity. 6862–6872. 9 indexed citations

3.

Kamath, Aishwarya, Mannat Singh, Yann LeCun, et al.. (2021). MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1760–1770. 379 indexed citations breakdown →

4.

Carion, Nicolas, Gabriel Synnaeve, Alessandro Lazaric, & Nicolas Usunier. (2019). A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. arXiv (Cornell University). 32. 8128–8138. 7 indexed citations

5.

Synnaeve, Gabriel, Zeming Lin, Jonas Gehring, et al.. (2018). Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. arXiv (Cornell University). 31. 10738–10748. 6 indexed citations

6.

Berkenkamp, Felix, et al.. (2017). Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning. IFAC-PapersOnLine. 50(1). 11800–11807. 29 indexed citations

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.

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