Grégory Randall

3.8k total citations · 2 hit papers
35 papers, 2.6k citations indexed

About

Grégory Randall is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Grégory Randall has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 5 papers in Aerospace Engineering. Recurrent topics in Grégory Randall's work include Medical Image Segmentation Techniques (16 papers), Image and Object Detection Techniques (10 papers) and Advanced Vision and Imaging (7 papers). Grégory Randall is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Image and Object Detection Techniques (10 papers) and Advanced Vision and Imaging (7 papers). Grégory Randall collaborates with scholars based in Uruguay, France and United States. Grégory Randall's co-authors include Jean‐Michel Morel, Rafael Grompone von Gioi, Jérémie Jakubowicz, Guillermo Sapiro, Marcelo Bertalmı́o, José Lezama, Pablo Sprechmann, Sriram Subramaniam, Alberto Bartesaghi and Pablo Arias and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Vision Research.

In The Last Decade

Grégory Randall

34 papers receiving 2.5k citations

Hit Papers

LSD: A Fast Line Segment Detector with a False Detection ... 2009 2026 2014 2020 2009 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Randall Uruguay 13 1.9k 1.1k 450 431 317 35 2.6k
Matthew Tancik United States 14 4.2k 2.2× 855 0.8× 357 0.8× 536 1.2× 255 0.8× 20 5.9k
Edward Rosten United Kingdom 13 1.8k 0.9× 1.2k 1.2× 62 0.1× 167 0.4× 240 0.8× 26 2.6k
Kenichi Kanatani Japan 33 2.7k 1.4× 1.2k 1.1× 183 0.4× 173 0.4× 403 1.3× 189 3.6k
Ben Mildenhall United States 20 5.2k 2.8× 930 0.9× 428 1.0× 677 1.6× 412 1.3× 30 7.0k
Lisa Gottesfeld Brown United States 4 2.4k 1.3× 895 0.8× 95 0.2× 86 0.2× 474 1.5× 5 3.0k
Kiriakos N. Kutulakos Canada 34 3.5k 1.9× 845 0.8× 219 0.5× 404 0.9× 814 2.6× 92 4.5k
A. Zisserman United Kingdom 5 1.7k 0.9× 829 0.8× 255 0.6× 321 0.7× 168 0.5× 5 2.4k
S. Negahdaripour United States 28 2.4k 1.3× 1.8k 1.7× 126 0.3× 288 0.7× 262 0.8× 151 3.7k
M. Pilu United Kingdom 14 1.8k 1.0× 450 0.4× 109 0.2× 131 0.3× 317 1.0× 30 2.7k
Naokazu Yokoya Japan 26 2.2k 1.2× 926 0.9× 158 0.4× 359 0.8× 218 0.7× 213 2.8k

Countries citing papers authored by Grégory Randall

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Randall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Randall

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Randall. A scholar is included among the top collaborators of Grégory Randall 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 Grégory Randall. Grégory Randall 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.
Randall, Grégory, et al.. (2023). Improving the Pair Selection and the Model Fusion Steps of Satellite Multi-View Stereo Pipelines. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2. 6333–6342. 4 indexed citations
2.
Randall, Grégory, et al.. (2022). An experimental comparison of multi-view stereo approaches on satellite images. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 707–716. 23 indexed citations
3.
Randall, Grégory, et al.. (2022). LSU-DS: An Uruguayan Sign Language Public Dataset for Automatic Recognition. 1 indexed citations
4.
Randall, Grégory, et al.. (2017). A Sub-Pixel Edge Detector: an Implementation of the Canny/Devernay Algorithm. Image Processing On Line. 7. 347–372. 36 indexed citations
5.
Randall, Grégory, et al.. (2016). Unsupervised Smooth Contour Detection. Image Processing On Line. 6. 233–267. 5 indexed citations
6.
Lezama, José, et al.. (2015). Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness. Vision Research. 126. 183–191. 7 indexed citations
7.
Lezama, José, et al.. (2014). A contrario detection of good continuation of points. 4757–4761. 3 indexed citations
8.
Caselles, Vicent, et al.. (2013). A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences. 6(3). 1274–1317. 10 indexed citations
9.
Gioi, Rafael Grompone von, Jérémie Jakubowicz, Jean‐Michel Morel, & Grégory Randall. (2012). LSD: a Line Segment Detector. Image Processing On Line. 2. 35–55. 553 indexed citations breakdown →
10.
Gioi, Rafael Grompone von, Jérémie Jakubowicz, Jean‐Michel Morel, & Grégory Randall. (2009). LSD: A Fast Line Segment Detector with a False Detection Control. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(4). 722–732. 1371 indexed citations breakdown →
11.
Bartesaghi, Alberto, et al.. (2008). Classification and 3D averaging with missing wedge correction in biological electron tomography. Journal of Structural Biology. 162(3). 436–450. 135 indexed citations
12.
Arias, Pablo, et al.. (2007). Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. IEEE Transactions on Image Processing. 16(6). 1637–1645. 9 indexed citations
13.
Jakubowicz, Jérémie, et al.. (2007). Multisegment Detection. II – 253. 8 indexed citations
14.
Bartesaghi, Alberto, Pablo Sprechmann, Grégory Randall, Guillermo Sapiro, & Sriram Subramaniam. (2007). CLASSIFICATION, AVERAGING AND RECONSTRUCTION OF MACROMOLECULES IN ELECTRON TOMOGRAPHY. 244–247. 3 indexed citations
15.
Randall, Grégory, et al.. (2005). An active regions approach for the segmentation of 3D biological tissue. 22. I–277. 3 indexed citations
16.
Rodríguez, Paul, et al.. (2004). Automatic object detection using shape information in ultrasound images. 2. III–417. 6 indexed citations
17.
Bertalmı́o, Marcelo, Guillermo Sapiro, & Grégory Randall. (2000). Morphing active contours. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(7). 733–737. 67 indexed citations
18.
Randall, Grégory, et al.. (1998). <title>Neuro3D: an interactive 3D reconstruction system of serial sections using automatic registration</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3261. 117–126. 5 indexed citations
19.
Henry, Manus, et al.. (1996). Programmable hardware architectures for sensor validation. Control Engineering Practice. 4(10). 1339–1354. 10 indexed citations
20.
Page, Ian & Grégory Randall. (1994). Using Handel to accelerate systems development. 1 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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