Kunio Kashino

2.6k total citations
146 papers, 1.5k citations indexed

About

Kunio Kashino is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Kunio Kashino has authored 146 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 81 papers in Signal Processing and 41 papers in Artificial Intelligence. Recurrent topics in Kunio Kashino's work include Music and Audio Processing (67 papers), Speech and Audio Processing (57 papers) and Video Analysis and Summarization (30 papers). Kunio Kashino is often cited by papers focused on Music and Audio Processing (67 papers), Speech and Audio Processing (57 papers) and Video Analysis and Summarization (30 papers). Kunio Kashino collaborates with scholars based in Japan, Canada and United States. Kunio Kashino's co-authors include Hiroshi Murase, Hirokazu Kameoka, Kaoru Hiramatsu, Takuhiro Kaneko, Xiaomeng Wu, Hidehiko Tanaka, Yasunori Ohishi, Akisato Kimura, G A Smith and Shigeki Sagayama and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

Kunio Kashino

131 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunio Kashino Japan 20 908 849 426 100 88 146 1.5k
Ara Nefian United States 16 530 0.6× 952 1.1× 307 0.7× 78 0.8× 103 1.2× 54 1.5k
Andrzej Drygajlo Switzerland 21 996 1.1× 521 0.6× 712 1.7× 92 0.9× 62 0.7× 115 1.4k
Tali Dekel Israel 16 384 0.4× 1.1k 1.3× 291 0.7× 175 1.8× 115 1.3× 32 1.6k
Ton Kalker United States 29 1.3k 1.4× 2.6k 3.1× 412 1.0× 102 1.0× 78 0.9× 111 3.4k
Baback Moghaddam United States 15 291 0.3× 1.0k 1.2× 208 0.5× 190 1.9× 110 1.3× 28 1.3k
Antonio J. Rubio Spain 18 951 1.0× 343 0.4× 870 2.0× 241 2.4× 25 0.3× 87 1.5k
Martin Lades Germany 6 468 0.5× 1.4k 1.7× 215 0.5× 61 0.6× 225 2.6× 13 1.7k
William J. Worek United States 5 788 0.9× 1.7k 2.0× 146 0.3× 176 1.8× 117 1.3× 6 2.0k
S.Z. Li China 15 290 0.3× 1.3k 1.5× 180 0.4× 124 1.2× 197 2.2× 31 1.5k
Masahiro Iwahashi Japan 16 483 0.5× 604 0.7× 181 0.4× 23 0.2× 77 0.9× 174 1.0k

Countries citing papers authored by Kunio Kashino

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Kashino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Kashino

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Kashino. A scholar is included among the top collaborators of Kunio Kashino 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 Kunio Kashino. Kunio Kashino 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.
Takeuchi, Daiki, et al.. (2024). Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection. PubMed. 2024. 1–4. 4 indexed citations
2.
Takeuchi, Daiki, et al.. (2024). Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2391–2406. 9 indexed citations
4.
Takeuchi, Daiki, et al.. (2022). BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 137–151. 31 indexed citations
5.
Wu, Xiaomeng, Yongqing Sun, Akisato Kimura, & Kunio Kashino. (2021). Reflectance-Oriented Probabilistic Equalization for Image Enhancement. 1835–1839. 6 indexed citations
6.
Kashino, Kunio. (2019). See, Hear, and Learn to Describe--Crossmodal Information Processing Opens the Way to Smarter AI. NTT technical review. 17(11). 12–16. 1 indexed citations
7.
Kameoka, Hirokazu, et al.. (2017). Non-native speech conversion with consistency-aware recursive network and generative adversarial network. IEICE Technical Report; IEICE Tech. Rep.. 116(477). 315–320.
8.
Wu, Xiaomeng, Xinhao Liu, Kaoru Hiramatsu, & Kunio Kashino. (2017). Contrast-accumulated histogram equalization for image enhancement. 3190–3194. 39 indexed citations
9.
Kaneko, Takuhiro, et al.. (2016). Generative Adversarial Network-based Postfiltering for Statistical Parametric Speech Synthesis. IEICE Technical Report; IEICE Tech. Rep.. 116(378). 89–94. 2 indexed citations
10.
Mukai, Ryo, et al.. (2014). Instance Search Technology for Finding Specific Objects in Movies. NTT technical review. 12(11). 11–15. 1 indexed citations
12.
Kashino, Kunio, et al.. (2012). NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2012 Instance Search and Multimedia Event Detection Tasks.. TRECVID. 4 indexed citations
13.
Mukai, Ryo, et al.. (2010). NTT Communication Science Laboratories at TRECVID 2010 Content-Based Copy Detection. TRECVID. 9 indexed citations
14.
Kimura, Akisato, Hirokazu Kameoka, & Kunio Kashino. (2010). Media Scene Learning: A Novel Framework for Automatically Extracting Meaningful Parts from Audio and Video Signals. NTT technical review. 8(11). 17–23.
15.
Kimura, Akisato, Kunio Kashino, Shin’ichi Satoh, et al.. (2010). NTT Communication Science Laboratories and NII in TRECVID 2010 Instance Search Task. TRECVID. 2 indexed citations
16.
Kashino, Kunio, et al.. (2003). Similar Music Retrieval Using Polyphonic Binary Feature Vectors and Its Acceleration. IEICE Transactions on Information and Systems. 86(11). 2498–2499. 1 indexed citations
17.
Kashino, Kunio, et al.. (2001). Probabilistic Dither-Voting: Improving Robustness of Time-Series Active Search with Respect to Feature Distortions. Transactions of the Institute of Electronics, Information and Communication Engineers. 84(8). 1817–1825.
18.
Kashino, Kunio, et al.. (1998). Application of the Bayesian probability network to music scene analysis. 115–137. 65 indexed citations
19.
Kashino, Kunio & Hiroshi Murase. (1997). A music stream segregation system based on adaptive multi-agents. International Joint Conference on Artificial Intelligence. 1126–1131. 4 indexed citations
20.
Kashino, Kunio & Hidehiko Tanaka. (1993). A Sound Source Separation System with the Ability of Automatic Tone Modeling. The Journal of the Abraham Lincoln Association. 1993. 30 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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