Yohann Cabon

2.4k citations
11 papers · 776 indexed · 2 hit papers · h-index 6
Topics
Advanced Image and Video Retrieval Techniques (5 papers)Robotics and Sensor-Based Localization (5 papers)Advanced Neural Network Applications (4 papers)
Journals
International Journal of Computer VisionarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Yohann Cabon

11 papers receiving 735 citations

Hit Papers

VirtualWorlds as Proxy for Multi-object Tracking Analysis201620262019202220162024100200300400500

Peers

Yohann Cabon
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 615
  • Aerospace Engineering 231
  • Artificial Intelligence 118
  • Media Technology 83
  • Geology 76
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Chenye Guan China
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Rareş Ambruş United States
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Yohann Cabon relative to Chenye Guan China Chenye Guan's profile →
Citations per field
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Chenye Guan · 1×
Citations per year

Countries citing papers authored by Yohann Cabon

Since Specialization
Citations

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

Fields of papers citing papers by Yohann Cabon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohann Cabon

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 1
3
DUSt3R: Geometric 3D Vision Made Easybreakdown →
85
4 2
5 5
6 39
7 22
8
R2D2: Reliable and Repeatable Detectors and Descriptors for Joint Sparse Keypoint Detection and Local Feature Extraction
3
9 21
10 30
11
VirtualWorlds as Proxy for Multi-object Tracking Analysisbreakdown →
567

About Yohann Cabon

Yohann Cabon is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 11 papers that have together received 776 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Geology (76 citations) and Computer Graphics and Computer-Aided Design (38 citations). Yohann Cabon has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Adrien Gaidon, Eleonora Vig, Qiao Wang, Jérôme Revaud, Boris Chidlovskii, Shuzhe Wang, Vincent Leroy, Philippe Weinzaepfel, Martin Humenberger and Gabriela Csurka. Their work appears in journals such as International Journal of Computer Vision, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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