Jérôme Revaud

5.7k total citations · 1 hit paper
21 papers, 1.0k citations indexed

About

Jérôme Revaud is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Jérôme Revaud has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Jérôme Revaud's work include Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Vision and Imaging (6 papers). Jérôme Revaud is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Vision and Imaging (6 papers). Jérôme Revaud collaborates with scholars based in South Korea, France and Finland. Jérôme Revaud's co-authors include Philippe Weinzaepfel, Cordelia Schmid, Jon Almazán, Diane Larlus, Albert Gordo, Zaïd Harchaoui, Martin Humenberger, Hervé Jeǵou, César Roberto de Souza and Matthijs Douze and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Jérôme Revaud

19 papers receiving 977 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.

DUSt3R: Geometric 3D Vision Made Easy

2024 85 citations Shuzhe Wang, Vincent Leroy et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérôme Revaud South Korea	11	867	277	160	99	50	21	1.0k
Aoxiang Fan China	10	769 0.9×	457 1.6×	106 0.7×	93 0.9×	65 1.3×	10	910
Philippe Weinzaepfel South Korea	12	886 1.0×	217 0.8×	267 1.7×	58 0.6×	34 0.7×	27	1000
Yi‐Hsuan Tsai United States	17	1.2k 1.4×	114 0.4×	328 2.0×	144 1.5×	33 0.7×	41	1.5k
Zhiwu Lu China	15	626 0.7×	193 0.7×	358 2.2×	44 0.4×	44 0.9×	30	839
Weichao Qiu United States	10	480 0.6×	202 0.7×	130 0.8×	58 0.6×	26 0.5×	23	630
Rahul Raguram United States	10	546 0.6×	365 1.3×	84 0.5×	40 0.4×	122 2.4×	16	762
Vijay Badrinarayanan United Kingdom	13	666 0.8×	146 0.5×	189 1.2×	31 0.3×	90 1.8×	17	888
Ricardo Toledo Spain	16	761 0.9×	304 1.1×	124 0.8×	155 1.6×	20 0.4×	37	867

Countries citing papers authored by Jérôme Revaud

Since Specialization

Citations

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

Fields of papers citing papers by Jérôme Revaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Revaud

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cabon, Yohann, et al.. (2025). MUSt3R: Multi-view Network for Stereo 3D Reconstruction. 1050–1060. 1 indexed citations

Weinzaepfel, Philippe, et al.. (2025). Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors. 1071–1081.

Wang, Shuzhe, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, & Jérôme Revaud. (2024). DUSt3R: Geometric 3D Vision Made Easy. 20697–20709. 85 indexed citations breakdown →

Cabon, Yohann, et al.. (2024). MFOS: Model-Free & One-Shot Object Pose Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2911–2919. 2 indexed citations

Revaud, Jérôme, et al.. (2024). SACReg: Scene-Agnostic Coordinate Regression for Visual Localization. 688–698. 5 indexed citations

Weinzaepfel, Philippe, Thomas G. Lucas, Vincent Leroy, et al.. (2023). CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. 17923–17934. 39 indexed citations

Chidlovskii, Boris, et al.. (2022). CroCo: Self-Supervised Pre-Training for 3D Vision Tasks by Cross-View Completion. 3502–3516.

Revaud, Jérôme, Vincent Leroy, Philippe Weinzaepfel, & Boris Chidlovskii. (2022). PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3916–3926. 8 indexed citations

Revaud, Jérôme & Martin Humenberger. (2021). Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4531–4541. 6 indexed citations

10.

Weinzaepfel, Philippe, et al.. (2020). SuperLoss: A Generic Loss for Robust Curriculum Learning. Neural Information Processing Systems. 33. 4308–4319. 24 indexed citations

11.

Revaud, Jérôme, et al.. (2019). R2D2: Reliable and Repeatable Detectors and Descriptors for Joint Sparse Keypoint Detection and Local Feature Extraction. arXiv (Cornell University). 3 indexed citations

12.

Revaud, Jérôme, César Roberto de Souza, Martin Humenberger, & Philippe Weinzaepfel. (2019). R2D2: Reliable and Repeatable Detector and Descriptor. Neural Information Processing Systems. 32. 12405–12415. 102 indexed citations

13.

Revaud, Jérôme, et al.. (2019). Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates. 4081–4090. 12 indexed citations

14.

Gordo, Albert, Jon Almazán, Jérôme Revaud, & Diane Larlus. (2017). End-to-End Learning of Deep Visual Representations for Image Retrieval. International Journal of Computer Vision. 124(2). 237–254. 322 indexed citations

15.

Revaud, Jérôme, Philippe Weinzaepfel, Zaïd Harchaoui, & Cordelia Schmid. (2016). DeepMatching: Hierarchical Deformable Dense Matching. International Journal of Computer Vision. 120(3). 300–323. 181 indexed citations

16.

Revaud, Jérôme, Philippe Weinzaepfel, Zaïd Harchaoui, & Cordelia Schmid. (2015). Deep Convolutional Matching. arXiv (Cornell University). 4 indexed citations

17.

Douze, Matthijs, Jérôme Revaud, Jakob Verbeek, Hervé Jeǵou, & Cordelia Schmid. (2015). Circulant Temporal Encoding for Video Retrieval and Temporal Alignment. International Journal of Computer Vision. 119(3). 291–306. 26 indexed citations

18.

Revaud, Jérôme, et al.. (2014). Transformation Pursuit for Image Classification. HAL (Le Centre pour la Communication Scientifique Directe). 3646–3653. 45 indexed citations

19.

Revaud, Jérôme, et al.. (2009). Improving Zernike Moments Comparison for Optimal Similarity and Rotation Angle Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(4). 627–636. 61 indexed citations

20.

Takiguchi, Tetsuya, et al.. (2008). Human-Robot Interface Using System Request Utterance Detection Based on Acoustic Features. 304–309. 8 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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