Daniel DeTone

782 total citations
7 papers, 141 citations indexed

About

Daniel DeTone is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel DeTone has authored 7 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Daniel DeTone's work include Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel DeTone is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel DeTone collaborates with scholars based in United States, Israel and Australia. Daniel DeTone's co-authors include Tomasz Malisiewicz, Richard Newcombe, Tsun-Yi Yang, Julian Straub, Samuel Rota Bulò, Paul-Edouard Sarlin, Peter Kontschieder, Chris Sweeney, Hamid Rezatofighi and Eddy Ilg and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Daniel DeTone

6 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel DeTone United States	5	101	81	22	14	13	7	141
Rémi Pautrat Switzerland	5	141 1.4×	106 1.3×	39 1.8×	7 0.5×	38 2.9×	11	200
Carl Toft Sweden	6	154 1.5×	135 1.7×	28 1.3×	14 1.0×	12 0.9×	8	183
Andréas Meuleman South Korea	7	178 1.8×	60 0.7×	25 1.1×	8 0.6×	8 0.6×	13	228
Lang Nie China	9	251 2.5×	74 0.9×	20 0.9×	9 0.6×	6 0.5×	29	285
Luis Ferraz Spain	6	179 1.8×	169 2.1×	23 1.0×	23 1.6×	20 1.5×	8	222
Karel Lebeda United Kingdom	7	183 1.8×	107 1.3×	23 1.0×	14 1.0×	4 0.3×	9	207
Nicholas A. Lord United Kingdom	6	167 1.7×	136 1.7×	54 2.5×	12 0.9×	13 1.0×	8	198
Lucas Nogueira Brazil	2	60 0.6×	105 1.3×	40 1.8×	38 2.7×	11 0.8×	3	130
Jinrong Yang China	7	140 1.4×	57 0.7×	11 0.5×	8 0.6×	4 0.3×	10	197
Hazem Rashed Egypt	6	141 1.4×	60 0.7×	15 0.7×	13 0.9×	5 0.4×	8	183

Countries citing papers authored by Daniel DeTone

Since Specialization

Citations

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

Fields of papers citing papers by Daniel DeTone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel DeTone

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel DeTone. A scholar is included among the top collaborators of Daniel DeTone 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 Daniel DeTone. Daniel DeTone 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:

7 of 7 papers shown

1.

Wu, Xiaoyang, Daniel DeTone, Tianwei Shen, et al.. (2025). Sonata: Self-Supervised Learning of Reliable Point Representations. 22193–22204.

2.

Sarlin, Paul-Edouard, Daniel DeTone, Tsun-Yi Yang, et al.. (2023). OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. 21632–21642. 45 indexed citations

3.

Straub, Julian, Tianwei Shen, Tsun-Yi Yang, et al.. (2022). Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5057–5066. 3 indexed citations

4.

DeTone, Daniel, Geoffrey Pascoe, Tanner Schmidt, et al.. (2022). Feature Query Networks: Neural Surface Description for Camera Pose Refinement. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5067–5077. 9 indexed citations

5.

DeTone, Daniel, Tsun-Yi Yang, Tianwei Shen, et al.. (2022). NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12787–12797. 16 indexed citations

6.

Li, Kejie, Daniel DeTone, Steven Chen, et al.. (2021). ODAM: Object Detection, Association, and Mapping using Posed RGB Video. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5978–5988. 14 indexed citations

7.

DeTone, Daniel, et al.. (2019). Deep ChArUco: Dark ChArUco Marker Pose Estimation. 8428–8436. 54 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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