Takayuki Okatani

3.6k total citations
121 papers, 1.7k citations indexed

About

Takayuki Okatani is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Takayuki Okatani has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computer Vision and Pattern Recognition, 24 papers in Aerospace Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Takayuki Okatani's work include Advanced Vision and Imaging (45 papers), Robotics and Sensor-Based Localization (23 papers) and Video Surveillance and Tracking Methods (13 papers). Takayuki Okatani is often cited by papers focused on Advanced Vision and Imaging (45 papers), Robotics and Sensor-Based Localization (23 papers) and Video Surveillance and Tracking Methods (13 papers). Takayuki Okatani collaborates with scholars based in Japan, China and United States. Takayuki Okatani's co-authors include Koichiro Deguchi, Ken Sakurada, Masanori Suganuma, Zhun Sun, Xing Liu, Hidehiko Sekiya, Chitoshi MIKI, Takahiro Yoshida, Mete Özay and Yan Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Takayuki Okatani

110 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayuki Okatani Japan 20 1.1k 275 250 195 184 121 1.7k
Yanpeng Cao China 23 1.1k 1.0× 505 1.8× 341 1.4× 139 0.7× 170 0.9× 82 1.9k
Bo Peng China 22 748 0.7× 222 0.8× 291 1.2× 117 0.6× 107 0.6× 147 1.7k
Xiang Bai China 10 1.7k 1.6× 478 1.7× 175 0.7× 145 0.7× 101 0.5× 26 2.3k
Masood Dehghan Singapore 11 1.8k 1.6× 409 1.5× 186 0.7× 110 0.6× 72 0.4× 27 2.8k
Mongi A. Abidi United States 25 1.7k 1.5× 501 1.8× 591 2.4× 73 0.4× 152 0.8× 172 2.5k
Olli Sílven Finland 20 1.6k 1.5× 335 1.2× 514 2.1× 106 0.5× 154 0.8× 150 2.7k
Hock Soon Seah Singapore 20 1.1k 1.0× 253 0.9× 86 0.3× 60 0.3× 373 2.0× 152 1.6k
Ardeshir Goshtasby United States 19 1.2k 1.1× 304 1.1× 329 1.3× 40 0.2× 159 0.9× 34 1.8k
Hélder Araújo Portugal 23 1.1k 1.0× 223 0.8× 567 2.3× 189 1.0× 38 0.2× 129 1.9k
Andreas Koschan United States 27 1.7k 1.6× 455 1.7× 516 2.1× 76 0.4× 407 2.2× 128 2.5k

Countries citing papers authored by Takayuki Okatani

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Okatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Okatani

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Okatani. A scholar is included among the top collaborators of Takayuki Okatani 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 Takayuki Okatani. Takayuki Okatani 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.
Yang, H. J., et al.. (2025). RP-SLAM: Real-Time Photorealistic SLAM With Efficient 3D Gaussian Splatting. IEEE Transactions on Visualization and Computer Graphics. 32(2). 1452–1466.
3.
Nguyen, Van‐Quang, et al.. (2024). Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction. IEEE Transactions on Intelligent Vehicles. 10(1). 709–719.
4.
Suganuma, Masanori, et al.. (2024). Rethinking unsupervised domain adaptation for semantic segmentation. Pattern Recognition Letters. 186. 119–125. 2 indexed citations
5.
Sun, Li, et al.. (2023). Zero‐shot temporal event localisation: Label‐free, training‐free, domain‐free. IET Computer Vision. 17(5). 599–613. 1 indexed citations
6.
Suganuma, Masanori, et al.. (2023). Symmetry-aware Neural Architecture for Embodied Visual Navigation. International Journal of Computer Vision. 132(4). 1091–1107. 3 indexed citations
7.
Nagatani, Keiji, Masato Abé, Koichi Osuka, et al.. (2021). Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Advanced Robotics. 35(11). 715–722. 27 indexed citations
8.
Suganuma, Masanori, et al.. (2019). Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog. arXiv (Cornell University). 3 indexed citations
9.
Okatani, Takayuki, et al.. (2017). Robust Visual SLAM for Active Scope Camera. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 1P2–P07. 1 indexed citations
10.
Yan, Zhang, et al.. (2016). Integrating deep features for material recognition. 3697–3702. 9 indexed citations
11.
Okatani, Takayuki, Takahiro Yoshida, & Koichiro Deguchi. (2011). Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms. 842–849. 67 indexed citations
12.
Ito, Eisuke, Satoshi Saga, Takayuki Okatani, & Koichiro Deguchi. (2010). GPU-based high-speed and high-precision visual tracking. Society of Instrument and Control Engineers of Japan. 2151–2154. 1 indexed citations
13.
Saga, Satoshi, et al.. (2010). 3D reconstruction of reflective surface on reflection type tactile sensor using constraints of geometrical optics. Society of Instrument and Control Engineers of Japan. 3144–3149. 6 indexed citations
14.
Okatani, Takayuki, et al.. (2004). Range Image Matching for Object Recognition in Real Scene. Transactions of the Society of Instrument and Control Engineers. 40(1). 10–17. 2 indexed citations
15.
Okatani, Takayuki, et al.. (2004). Contrast enhancement of fundus images using regional histograms for medical diagnosis. Society of Instrument and Control Engineers of Japan. 1. 650–653. 8 indexed citations
16.
Okatani, Takayuki, et al.. (2003). Comparison of the feature point tracking method in image sequences. Society of Instrument and Control Engineers of Japan. 2. 1326–1331. 1 indexed citations
17.
Deguchi, Koichiro, et al.. (2002). 3-Dimensional Tracking of Multiple Object Motions from Multi-view Images by Mixed-state CONDENSATION Algorithm.. Machine Vision and Applications. 408–411. 1 indexed citations
18.
Okatani, Takayuki & Koichiro Deguchi. (2000). Yet Another Appearance-Based Method for Pose Estimation Based on a linear Model.. Machine Vision and Applications. 258–261. 6 indexed citations
19.
Okatani, Takayuki, et al.. (2000). Recovering Camera Motion from Image Sequence Based on Registration of Silhouette Cones: Shape from Silhouette Using a Mobile Camera with a Gyro Sensor.. Machine Vision and Applications. 451–454. 3 indexed citations
20.
Okatani, Takayuki & Koichiro Deguchi. (1997). 3D Shape Reconstruction from an Endoscope Image Based on Shading. Transactions of the Society of Instrument and Control Engineers. 33(10). 1035–1042.

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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