Akihiko Torii

7.6k total citations · 2 hit papers
42 papers, 3.1k citations indexed

About

Akihiko Torii is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Akihiko Torii has authored 42 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 26 papers in Aerospace Engineering and 7 papers in Media Technology. Recurrent topics in Akihiko Torii's work include Advanced Image and Video Retrieval Techniques (26 papers), Robotics and Sensor-Based Localization (26 papers) and Advanced Vision and Imaging (16 papers). Akihiko Torii is often cited by papers focused on Advanced Image and Video Retrieval Techniques (26 papers), Robotics and Sensor-Based Localization (26 papers) and Advanced Vision and Imaging (16 papers). Akihiko Torii collaborates with scholars based in Japan, Czechia and France. Akihiko Torii's co-authors include Tomáš Pajdla, Josef Šivic, Relja Arandjelović, Petr Gronát, Masatoshi Okutomi, Marc Pollefeys, Torsten Sattler, Ignacio Rocco, Mihai Dusmanu and Michal Havlena and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Akihiko Torii

41 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NetVLAD: CNN architecture for weakly supervised place recognition

2015 1.1k citations Relja Arandjelović, Petr Gronát et al. arXiv (Cornell University) profile →
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

2019 688 citations Tomáš Pajdla, Marc Pollefeys et al. profile →

Peers

Akihiko Torii

CVPR

AE

EEE

GEOLO

AI

Agostino Martinelli France

Peter Henry United States

Abraham Bachrach United States

Oleg Naroditsky United States

Laurent Kneip China

Zhaopeng Cui China

Manolis Lourakis Greece

Peter Protzel Germany

Danping Zou China

J.J. Guerrero Spain

Agostino Martinelli France

Akihiko Torii

1.8k ×0.7

CVPR

1.9k ×1.0

AE

624 ×1.8

EEE

376 ×1.1

GEOLO

362 ×1.2

AI

Citations per year, relative to Akihiko Torii Akihiko Torii (= 1×) peers Agostino Martinelli

Countries citing papers authored by Akihiko Torii

Since Specialization

Citations

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

Fields of papers citing papers by Akihiko Torii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Torii

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

20 of 20 papers shown

1.

Hoang, Giang Thi, et al.. (2023). F2SD: a dataset for end-to-end group detection algorithms. 47–47. 1 indexed citations

2.

Torii, Akihiko, et al.. (2023). Deep Sensing for Compressive Video Acquisition. Sensors. 23(17). 7535–7535. 1 indexed citations

3.

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

4.

Torii, Akihiko, Hajime Taira, Josef Šivic, et al.. (2019). Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 814–829. 79 indexed citations

5.

Torii, Akihiko, et al.. (2018). Structure from motion using dense CNN features with keypoint relocalization. SHILAP Revista de lepidopterología. 10(1). 18 indexed citations

6.

Sattler, Torsten, Akihiko Torii, Josef Šivic, et al.. (2017). Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?. 6175–6184. 88 indexed citations

7.

Taira, Hajime, Akihiko Torii, & Masatoshi Okutomi. (2016). Robust feature matching by learning descriptor covariance with viewpoint synthesis. 2. 1953–1958. 2 indexed citations

8.

Arandjelović, Relja, Petr Gronát, Akihiko Torii, Tomáš Pajdla, & Josef Šivic. (2015). NetVLAD: CNN architecture for weakly supervised place recognition. arXiv (Cornell University). 1136 indexed citations breakdown →

9.

Heller, Jan, Michal Havlena, Michal Jančošek, Akihiko Torii, & Tomáš Pajdla. (2015). 3D reconstruction from photographs by CMP SfM web service. 30–34. 19 indexed citations

10.

Torii, Akihiko, et al.. (2014). Efficient Localization of Panoramic Images Using Tiled Image Descriptors. 6(0). 58–62. 4 indexed citations

11.

Torii, Akihiko, et al.. (2010). Geometries of panoramic images and 3D vision. 19(4). 463–477. 2 indexed citations

12.

Havlena, Michal, Akihiko Torii, Michal Jančošek, & Tomáš Pajdla. (2009). Automatic Reconstruction of Mars Artifacts. 280. 1 indexed citations

13.

Torii, Akihiko, et al.. (2009). N-Point Hough transform for line detection. Journal of Visual Communication and Image Representation. 20(4). 242–253. 23 indexed citations

14.

Havlena, Michal, Akihiko Torii, Jan Knopp, & Tomáš Pajdla. (2009). Randomized structure from motion based on atomic 3D models from camera triplets. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2874–2881. 44 indexed citations

15.

Torii, Akihiko, Michal Havlena, & Tomáš Pajdla. (2009). From Google Street View to 3D city models. 2188–2195. 63 indexed citations

16.

Anemüller, Jörn, Barbara Caputo, Michal Havlena, et al.. (2008). The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 289–292. 1 indexed citations

17.

Torii, Akihiko & Tomáš Pajdla. (2008). OMNIDIRECTIONAL CAMERA MOTION ESTIMATION. 577–584. 4 indexed citations

18.

Imiya, Atsushi, Akihiko Torii, & Kosuke Sato. (2005). Tomography on Finite Graphs. Electronic Notes in Discrete Mathematics. 20. 217–232.

19.

Torii, Akihiko & Atsushi Imiya. (2004). Panoramic image transform of omnidirectional images using discrete geometry techniques. 608–615. 8 indexed citations

20.

Kawakami, Atsushi, et al.. (2003). SMC rover: planetary rover with transformable wheels. 1. 157–162. 26 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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