Matthieu Cord

9.4k total citations · 2 hit papers
102 papers, 2.6k citations indexed

About

Matthieu Cord is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Matthieu Cord has authored 102 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Matthieu Cord's work include Advanced Image and Video Retrieval Techniques (49 papers), Image Retrieval and Classification Techniques (30 papers) and Multimodal Machine Learning Applications (22 papers). Matthieu Cord is often cited by papers focused on Advanced Image and Video Retrieval Techniques (49 papers), Image Retrieval and Classification Techniques (30 papers) and Multimodal Machine Learning Applications (22 papers). Matthieu Cord collaborates with scholars based in France, Brazil and Switzerland. Matthieu Cord's co-authors include Nicolas Thome, Hedi Ben-younes, Rémi Cadène, Guillaume Couairon, Patrick Pérez, Alexandre Ramé, Arthur Douillard, Hervé Jeǵou, Hugo Touvron and Jakob Verbeek and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Matthieu Cord

96 papers receiving 2.5k citations

Hit Papers

ResMLP: Feedforward Networks for Image Classification Wit... 2022 2026 2023 2024 2022 2022 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthieu Cord France 27 1.8k 1.1k 234 171 130 102 2.6k
Abhinav Shrivastava United States 20 2.1k 1.2× 1.3k 1.2× 272 1.2× 145 0.8× 218 1.7× 73 3.2k
Quanfu Fan United States 18 1.3k 0.7× 587 0.5× 251 1.1× 140 0.8× 157 1.2× 48 2.1k
Liujuan Cao China 24 1.9k 1.1× 940 0.8× 230 1.0× 108 0.6× 53 0.4× 108 2.7k
Zhuliang Yao China 8 1.6k 0.9× 752 0.7× 375 1.6× 101 0.6× 218 1.7× 9 2.5k
Sanghyuk Chun South Korea 11 2.2k 1.3× 1.5k 1.3× 278 1.2× 160 0.9× 280 2.2× 21 3.3k
Junsuk Choe South Korea 11 2.1k 1.2× 1.6k 1.4× 284 1.2× 126 0.7× 305 2.3× 25 3.2k
Linchao Zhu China 34 2.8k 1.6× 1.6k 1.4× 142 0.6× 226 1.3× 133 1.0× 103 3.6k
Seong Joon Oh Germany 14 2.6k 1.5× 1.8k 1.6× 344 1.5× 211 1.2× 284 2.2× 24 3.8k
Kelvin Xu United States 6 3.0k 1.7× 2.3k 2.1× 151 0.6× 223 1.3× 177 1.4× 10 4.5k
Jordi Pont-Tuset Spain 13 2.6k 1.5× 990 0.9× 300 1.3× 72 0.4× 154 1.2× 19 3.3k

Countries citing papers authored by Matthieu Cord

Since Specialization
Citations

This map shows the geographic impact of Matthieu Cord'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 Matthieu Cord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Cord more than expected).

Fields of papers citing papers by Matthieu Cord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Cord. 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 Matthieu Cord. The network helps show where Matthieu Cord may publish in the future.

Co-authorship network of co-authors of Matthieu Cord

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Cord. A scholar is included among the top collaborators of Matthieu Cord 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 Matthieu Cord. Matthieu Cord is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Messaoud, Kaouther, et al.. (2025). Manipulating Trajectory Prediction Models With Backdoors. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22962–22973.
2.
Thome, Nicolas, et al.. (2024). Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Computer Vision and Image Understanding. 247. 104071–104071. 3 indexed citations
3.
Couairon, Guillaume, et al.. (2023). Zero-shot spatial layout conditioning for text-to-image diffusion models. 2174–2183. 18 indexed citations
4.
Touvron, Hugo, Piotr Bojanowski, Mathilde Caron, et al.. (2022). ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 5314–5321. 444 indexed citations breakdown →
5.
Dapogny, Arnaud, et al.. (2022). RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3664–3676. 9 indexed citations
6.
Vu, Tuan-Hung, et al.. (2021). Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9052–9061. 36 indexed citations
7.
Gidaris, Spyros, Andrei Bursuc, Gilles Puy, et al.. (2021). OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. 6826–6836. 44 indexed citations
8.
Dancette, Corentin, Rémi Cadène, Damien Teney, & Matthieu Cord. (2021). Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in\n Visual Question Answering. arXiv (Cornell University). 41 indexed citations
9.
Touvron, Hugo, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, & Hervé Jeǵou. (2021). Grafit: Learning fine-grained image representations with coarse labels. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 854–864. 41 indexed citations
10.
Douillard, Arthur, et al.. (2020). Small-Task Incremental Learning.. arXiv (Cornell University). 2 indexed citations
11.
Cadène, Rémi, Hedi Ben-younes, Matthieu Cord, & Nicolas Thome. (2019). MUREL: Multimodal Relational Reasoning for Visual Question Answering. arXiv (Cornell University). 1989–1998. 190 indexed citations
12.
Ben-younes, Hedi, Rémi Cadène, Nicolas Thome, & Matthieu Cord. (2019). BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and\n Visual Relationship Detection. arXiv (Cornell University). 134 indexed citations
13.
Thome, Nicolas, et al.. (2019). DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. 3473–3482. 16 indexed citations
14.
Lieutier, André, et al.. (2018). Manifold Learning in Quotient Spaces. SPIRE - Sciences Po Institutional REpository. 9165–9174. 2 indexed citations
15.
Picard, David, Nicolas Thome, & Matthieu Cord. (2013). JKernelMachines: a simple framework for kernel machine. Journal of Machine Learning Research. 14(1). 1417–1421. 4 indexed citations
16.
Avila, Sandra, Nicolas Thome, Matthieu Cord, Eduardo Valle, & Arnaldo de Albuquerque Araújo. (2012). BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. 5 indexed citations
17.
Cord, Matthieu, et al.. (2011). Locality-Sensitive Hashing for Chi2 Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 402–409. 49 indexed citations
18.
Cámara-Chávez, Guillermo, Fŕed́eric Precioso, Matthieu Cord, Sylvie Philipp‐Foliguet, & Arnaldo de Albuquerque Araújo. (2006). SHOT BOUNDARY DETECTION AT TRECVID 2006. TRECVID. 8 indexed citations
19.
Cord, Matthieu, et al.. (2002). A Flexible Search-by-Similarity Algorithm for Content-Based Image Retrieval.. 672–675. 1 indexed citations
20.
Cord, Matthieu & David Declercq. (2001). Three-dimensional building detection and modeling using a statistical approach. IEEE Transactions on Image Processing. 10(5). 715–723. 16 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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