G. Csurka

5.7k total citations · 1 hit paper
20 papers, 3.6k citations indexed

About

G. Csurka is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, G. Csurka has authored 20 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Media Technology. Recurrent topics in G. Csurka's work include Advanced Vision and Imaging (12 papers), Optical measurement and interference techniques (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). G. Csurka is often cited by papers focused on Advanced Vision and Imaging (12 papers), Optical measurement and interference techniques (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). G. Csurka collaborates with scholars based in France, Switzerland and United States. G. Csurka's co-authors include Florent Perronnin, Luca Marchesotti, Claudio Cifarelli, Jakob Verbeek, Thomas Mensink, Olivier Faugeras, Radu Horaud, Cyril Zeller, Joseph J. K. Ó Ruanaidh and Zhengyou Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

G. Csurka

20 papers receiving 3.4k citations

Hit Papers

Visual categorization with bags of keypoints 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k 2.5k
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.

  1. Visual categorization with bags of keypoints
    2004 2.7k citations G. Csurka profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Csurka France 15 3.1k 751 561 531 140 20 3.6k
Xavier Muñoz Spain 14 2.3k 0.7× 621 0.8× 619 1.1× 288 0.5× 131 0.9× 35 2.9k
Andrew Zisserman United Kingdom 16 3.2k 1.1× 1.3k 1.7× 317 0.6× 476 0.9× 216 1.5× 42 4.0k
Anna Bosch Spain 6 2.1k 0.7× 537 0.7× 534 1.0× 273 0.5× 128 0.9× 11 2.5k
Brian Fulkerson United States 4 1.9k 0.6× 420 0.6× 385 0.7× 489 0.9× 127 0.9× 5 2.5k
Gangshan Wu China 28 2.9k 1.0× 882 1.2× 518 0.9× 266 0.5× 111 0.8× 156 3.7k
Jorge Sánchez Argentina 9 2.5k 0.8× 712 0.9× 465 0.8× 460 0.9× 113 0.8× 20 2.9k
Andrew Calway United Kingdom 24 2.6k 0.9× 499 0.7× 382 0.7× 850 1.6× 235 1.7× 94 3.5k
Xuming He China 26 2.5k 0.8× 1.3k 1.7× 493 0.9× 239 0.5× 86 0.6× 127 3.6k
Frédéric Jurie France 26 3.9k 1.3× 589 0.8× 693 1.2× 824 1.6× 102 0.7× 87 4.4k
Shengfeng He China 31 2.9k 1.0× 521 0.7× 595 1.1× 210 0.4× 109 0.8× 158 3.5k

Countries citing papers authored by G. Csurka

Since Specialization
Citations

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

Fields of papers citing papers by G. Csurka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Csurka

This figure shows the co-authorship network connecting the top 25 collaborators of G. Csurka. A scholar is included among the top collaborators of G. Csurka 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 G. Csurka. G. Csurka 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.
Mensink, Thomas, Jakob Verbeek, Florent Perronnin, & G. Csurka. (2013). Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2624–2637. 237 indexed citations
2.
Marchesotti, Luca, Claudio Cifarelli, & G. Csurka. (2009). A framework for visual saliency detection with applications to image thumbnailing. 2232–2239. 225 indexed citations
3.
Csurka, G. & Florent Perronnin. (2008). A Simple High Performance Approach to Semantic Segmentation. 22.1–22.10. 38 indexed citations
4.
Csurka, G., et al.. (2006). Probabilistic Automatic Red Eye Detection and Correction. 762–765. 9 indexed citations
5.
Csurka, G.. (2004). Visual categorization with bags of keypoints. 1. 22. 2714 indexed citations breakdown →
6.
Pereira, Shelby, Joseph J. K. Ó Ruanaidh, F. Deguillaume, G. Csurka, & Thierry Pun. (2003). Template based recovery of Fourier-based watermarks using log-polar and log-log maps. 1. 870–874. 72 indexed citations
7.
Rey, Christian, Gwenaël Doërr, G. Csurka, & Jean‐Luc Dugelay. (2003). Toward generic image dewatermarking?. Proceedings - International Conference on Image Processing. 1. 633–636. 17 indexed citations
8.
Rothwell, C., G. Csurka, & Olivier Faugeras. (2002). A comparison of projective reconstruction methods for pairs of views. 932–937. 14 indexed citations
9.
Ruf, Andreas, G. Csurka, & Radu Horaud. (2002). Projective translations and affine stereo calibration. HAL (Le Centre pour la Communication Scientifique Directe). 475–481. 4 indexed citations
10.
Horaud, Radu & G. Csurka. (2002). Self-calibration and Euclidean reconstruction using motions of a stereo rig. HAL (Le Centre pour la Communication Scientifique Directe). 96–103. 23 indexed citations
11.
Horaud, Radu, et al.. (2000). Stereo calibration from rigid motions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(12). 1446–1452. 28 indexed citations
12.
Csurka, G., David Demirdjian, & Radu Horaud. (1999). Finding the Collineation between Two Projective Reconstructions. Computer Vision and Image Understanding. 75(3). 260–268. 17 indexed citations
13.
Ruanaidh, Joseph J. K. Ó & G. Csurka. (1999). A Bayesian approach to spread spectrum watermark detection and secure copyright protection for digital image libraries. Archive ouverte UNIGE (University of Geneva). 207–212 Vol. 1. 16 indexed citations
14.
Csurka, G. & Olivier Faugeras. (1999). Algebraic and geometric tools to compute projective and permutation invariants. IEEE Transactions on Pattern Analysis and Machine Intelligence. 21(1). 58–64. 13 indexed citations
15.
Csurka, G. & Patrick Bouthémy. (1999). Direct identification of moving objects and background from 2D motion models. 566–571 vol.1. 6 indexed citations
16.
Faugeras, Olivier, et al.. (1998). 3-D Reconstruction of Urban Scenes from Image Sequences. Computer Vision and Image Understanding. 69(3). 292–309. 62 indexed citations
17.
Demirdjian, David, G. Csurka, & Radu Horaud. (1998). Autocalibration in the Presence of Critical Motions. 75.1–75.9. 4 indexed citations
18.
Csurka, G. & Olivier Faugeras. (1998). Computing three dimensional project invariants from a pair of images using the Grassmann-Cayley algebra. Image and Vision Computing. 16(1). 3–12. 14 indexed citations
19.
Csurka, G., Cyril Zeller, Zhengyou Zhang, & Olivier Faugeras. (1997). Characterizing the Uncertainty of the Fundamental Matrix. Computer Vision and Image Understanding. 68(1). 18–36. 73 indexed citations
20.
Faugeras, Olivier, et al.. (1997). A Comparison of Projective Reconstruction Methods for Pairs of Views. Computer Vision and Image Understanding. 68(1). 37–58. 20 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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