Masatoshi Okutomi

10.7k total citations · 3 hit papers
217 papers, 5.9k citations indexed

About

Masatoshi Okutomi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Masatoshi Okutomi has authored 217 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Computer Vision and Pattern Recognition, 58 papers in Media Technology and 57 papers in Aerospace Engineering. Recurrent topics in Masatoshi Okutomi's work include Advanced Vision and Imaging (101 papers), Advanced Image Processing Techniques (60 papers) and Robotics and Sensor-Based Localization (50 papers). Masatoshi Okutomi is often cited by papers focused on Advanced Vision and Imaging (101 papers), Advanced Image Processing Techniques (60 papers) and Robotics and Sensor-Based Localization (50 papers). Masatoshi Okutomi collaborates with scholars based in Japan, United States and France. Masatoshi Okutomi's co-authors include Takeo Kanade, Masayuki Tanaka, Yusuke Monno, Xinhao Liu, Shigeki Sugimoto, Akihiko Torii, Masao Shimizu, Josef Šivic, Tomáš Pajdla and Daisuke Kiku and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Masatoshi Okutomi

202 papers receiving 5.6k citations

Hit Papers

A stereo matching algorithm with an adaptive window: theo... 1993 2026 2004 2015 1994 1993 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masatoshi Okutomi Japan 38 5.0k 1.8k 1.7k 420 373 217 5.9k
Barbara Zitová Czechia 14 4.1k 0.8× 1.6k 0.9× 1.1k 0.7× 361 0.9× 186 0.5× 54 5.6k
Rick Szeliski United States 16 6.2k 1.3× 1.6k 0.9× 1.5k 0.9× 154 0.4× 296 0.8× 25 6.9k
Qingxiong Yang Hong Kong 35 5.4k 1.1× 1.0k 0.6× 1.2k 0.7× 127 0.3× 184 0.5× 76 5.9k
In So Kweon South Korea 44 7.9k 1.6× 1.9k 1.1× 1.9k 1.1× 425 1.0× 480 1.3× 321 9.9k
Joaquím Salví Spain 31 3.6k 0.7× 1.5k 0.9× 869 0.5× 470 1.1× 747 2.0× 131 5.3k
Yuchao Dai China 38 4.8k 1.0× 1.4k 0.8× 1.2k 0.7× 280 0.7× 176 0.5× 166 5.6k
Chris Harris United States 10 7.3k 1.5× 4.0k 2.3× 1.0k 0.6× 320 0.8× 511 1.4× 25 8.9k
Kiriakos N. Kutulakos Canada 34 3.5k 0.7× 845 0.5× 814 0.5× 452 1.1× 223 0.6× 92 4.5k
R. Tsai United States 22 7.5k 1.5× 2.9k 1.7× 2.1k 1.3× 648 1.5× 671 1.8× 55 9.2k
Olga Veksler Canada 23 6.2k 1.2× 946 0.5× 1.1k 0.7× 275 0.7× 138 0.4× 50 7.7k

Countries citing papers authored by Masatoshi Okutomi

Since Specialization
Citations

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

Fields of papers citing papers by Masatoshi Okutomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Okutomi

This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Okutomi. A scholar is included among the top collaborators of Masatoshi Okutomi 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 Masatoshi Okutomi. Masatoshi Okutomi 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.
Tanaka, Masayuki, et al.. (2023). ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation. Electronic Imaging. 35(9). 296–1. 3 indexed citations
2.
Monno, Yusuke, et al.. (2022). Polarimetric Multi-View Inverse Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8798–8812. 14 indexed citations
3.
Li, Yizhou, Yusuke Monno, & Masatoshi Okutomi. (2022). Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3957–3966. 31 indexed citations
4.
Toft, Carl, Will Maddern, Akihiko Torii, et al.. (2020). Long-Term Visual Localization Revisited. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(4). 2074–2088. 113 indexed citations
5.
Tanaka, Masayuki, et al.. (2020). CNN-Based Classification of Degraded Images With Awareness of Degradation Levels. IEEE Transactions on Circuits and Systems for Video Technology. 31(10). 4046–4057. 16 indexed citations
6.
Monno, Yusuke, et al.. (2020). Remote Heart Rate Estimation Based on 3D Facial Landmarks. PubMed. 2020. 2634–2637. 4 indexed citations
7.
Monno, Yusuke, et al.. (2019). Whole Stomach 3D Reconstruction and Frame Localization From Monocular Endoscope Video. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–10. 36 indexed citations
8.
Zheng, Yinqiang, Shigeki Sugimoto, Imari Sato, & Masatoshi Okutomi. (2014). A General and Simple Method for Camera Pose and Focal Length Determination. 430–437. 35 indexed citations
9.
Tanaka, Masayuki, et al.. (2013). Image Denoising with Non-local Principal Component Analysis. 96(3). 389–398. 1 indexed citations
10.
Liu, Xinhao, Masayuki Tanaka, & Masatoshi Okutomi. (2012). Noise level estimation using weak textured patches of a single noisy image. 665–668. 146 indexed citations
11.
Tanaka, Masayuki, et al.. (2011). Spatial Super-resolution and Gray Level Super-quantization. Journal of the Japan Society for Precision Engineering. 77(12). 1099–1103.
12.
Sugimoto, Shigeki, et al.. (2011). Real-time step edge estimation using stereo images for biped robot. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1. 4463–4468. 2 indexed citations
13.
Tanaka, Masayuki & Masatoshi Okutomi. (2008). . The Journal of The Institute of Image Information and Television Engineers. 62(3). 337–342. 4 indexed citations
14.
Takahashi, Hidenori, et al.. (2008). Moving obstacle segmentation using MMW radar and image sequence. 2(1). 1 indexed citations
15.
Sugimoto, Shigeki & Masatoshi Okutomi. (2007). Fast Plane Parameter Estimation From Stereo Images. Machine Vision and Applications. 567–570.
16.
Shimizu, Masao, et al.. (2005). Simultaneous Improvement of Image Quality and Depth Estimation using Stereo Images. 2005(38). 77–82. 1 indexed citations
17.
Jiang, Wei, Shigeki Sugimoto, & Masatoshi Okutomi. (2004). Omnidirectional 3D reconstruction using stereo multi-perspective panoramas. Society of Instrument and Control Engineers of Japan. 2. 1128–1133.
18.
Shimizu, Masao & Masatoshi Okutomi. (2001). An Application of New Precise Sub-Pixel Estimation Method to PTV Images. Journal of the Visualization Society of Japan. 21(1Supplement). 35–38. 1 indexed citations
19.
Sugimoto, Shigeki & Masatoshi Okutomi. (1999). Shape Estimation of Rotating Object Using Spacio - temporal Images. 40(6). 2717–2724.
20.
Kitamura, Yoshifumi, et al.. (1992). Surface Reconstruction with Triangular Patches from Multiscale Range Images.. Machine Vision and Applications. 595–598. 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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