Rémi Cadène

2.2k total citations · 1 hit paper
12 papers, 983 citations indexed

About

Rémi Cadène is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Rémi Cadène has authored 12 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Rémi Cadène's work include Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Rémi Cadène is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Rémi Cadène collaborates with scholars based in France, United States and Australia. Rémi Cadène's co-authors include Paolo Napoletano, Luigi Celona, Simone Bianco, Matthieu Cord, Hedi Ben-younes, Nicolas Thome, T. Serre, Corentin Dancette, Damien Teney and Julien Colin and has published in prestigious journals such as IEEE Access, Neural Computation and Current Opinion in Behavioral Sciences.

In The Last Decade

Rémi Cadène

11 papers receiving 959 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.

Benchmark Analysis of Representative Deep Neural Network Architectures

2018 538 citations Simone Bianco, Rémi Cadène et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rémi Cadène France	9	611	473	104	56	52	12	983
P. Viswanath India	15	438 0.7×	601 1.3×	52 0.5×	87 1.6×	41 0.8×	54	1.1k
Xiaodong Gu China	19	741 1.2×	386 0.8×	73 0.7×	36 0.6×	19 0.4×	96	1.2k
Yizeng Han China	12	559 0.9×	361 0.8×	141 1.4×	41 0.7×	53 1.0×	22	1.0k
Chirag Patel India	11	370 0.6×	255 0.5×	84 0.8×	120 2.1×	47 0.9×	37	961
Luigi Celona Italy	9	361 0.6×	158 0.3×	107 1.0×	51 0.9×	53 1.0×	24	711
Nouman Ali Pakistan	20	741 1.2×	169 0.4×	82 0.8×	94 1.7×	63 1.2×	51	1.3k
Haoxiang Li China	14	1.1k 1.9×	283 0.6×	98 0.9×	70 1.3×	25 0.5×	45	1.6k
Tom Duerig United States	6	1.1k 1.8×	631 1.3×	48 0.5×	87 1.6×	41 0.8×	6	1.5k
Heechul Jung South Korea	14	976 1.6×	379 0.8×	47 0.5×	43 0.8×	25 0.5×	51	1.4k

Countries citing papers authored by Rémi Cadène

Since Specialization

Citations

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

Fields of papers citing papers by Rémi Cadène

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Cadène

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

All Works

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12 of 12 papers shown

1.

Ducoffe, Mélanie, et al.. (2023). Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. 16153–16163. 7 indexed citations

2.

Colin, Julien, et al.. (2022). What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods.. PubMed. 35. 2832–2845. 20 indexed citations

3.

Cadène, Rémi, et al.. (2022). How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1565–1575. 10 indexed citations

4.

Cadène, Rémi, et al.. (2022). Understanding the Computational Demands Underlying Visual Reasoning. Neural Computation. 34(5). 1075–1099. 9 indexed citations

5.

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

6.

Dancette, Corentin, et al.. (2021). Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1554–1563.

7.

Ricci, Matthew, Rémi Cadène, & T. Serre. (2020). Same-different conceptualization: a machine vision perspective. Current Opinion in Behavioral Sciences. 37. 47–55. 12 indexed citations

8.

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

9.

Cadène, Rémi, et al.. (2019). RUBi: Reducing Unimodal Biases for Visual Question Answering. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

10.

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

11.

Ben-younes, Hedi, Rémi Cadène, Nicolas Thome, & Matthieu Cord. (2019). BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8102–8109. 20 indexed citations

12.

Bianco, Simone, Rémi Cadène, Luigi Celona, & Paolo Napoletano. (2018). Benchmark Analysis of Representative Deep Neural Network Architectures. IEEE Access. 6. 64270–64277. 538 indexed citations breakdown →

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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