Noboru Babaguchi

2.0k total citations
154 papers, 1.1k citations indexed

About

Noboru Babaguchi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Noboru Babaguchi has authored 154 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Vision and Pattern Recognition, 50 papers in Signal Processing and 30 papers in Sociology and Political Science. Recurrent topics in Noboru Babaguchi's work include Video Analysis and Summarization (51 papers), Multimedia Communication and Technology (27 papers) and Advanced Steganography and Watermarking Techniques (25 papers). Noboru Babaguchi is often cited by papers focused on Video Analysis and Summarization (51 papers), Multimedia Communication and Technology (27 papers) and Advanced Steganography and Watermarking Techniques (25 papers). Noboru Babaguchi collaborates with scholars based in Japan, United States and China. Noboru Babaguchi's co-authors include Naoko Nitta, Tadahiro Kitahashi, Yoshihiko Kawai, Yuta Nakashima, Kazuaki Nakamura, Xiaoyi Yu, Yoshimasa Takahashi, Jianping Fan, Mahdi Khosravy and Ryuki Tachibana and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.

In The Last Decade

Noboru Babaguchi

141 papers receiving 1.1k citations

Peers

Noboru Babaguchi
David Hands United Kingdom
Boon Low United Kingdom
Waqas Javed United States
Chitra Dorai United States
John Boreczky United States
Kai-Fu Lee United States
David Hands United Kingdom
Noboru Babaguchi
Citations per year, relative to Noboru Babaguchi Noboru Babaguchi (= 1×) peers David Hands

Countries citing papers authored by Noboru Babaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Babaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noboru Babaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Babaguchi. A scholar is included among the top collaborators of Noboru Babaguchi 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 Noboru Babaguchi. Noboru Babaguchi 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.
Guan, Ziyu, Wanqing Zhao, Hongmin Liu, et al.. (2024). Cross-Modal Guided Visual Representation Learning for Social Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 2186–2198. 1 indexed citations
2.
Zhao, Wanqing, et al.. (2023). Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph. 2400–2408. 2 indexed citations
3.
Khosravy, Mahdi, Kazuaki Nakamura, Naoko Nitta, et al.. (2022). Social IoT Approach to Cyber Defense of a Deep-Learning-Based Recognition System in Front of Media Clones Generated by Model Inversion Attack. IEEE Transactions on Systems Man and Cybernetics Systems. 53(5). 2694–2704. 2 indexed citations
4.
Khosravy, Mahdi, et al.. (2022). Model Inversion Attack by Integration of Deep Generative Models: Privacy-Sensitive Face Generation From a Face Recognition System. IEEE Transactions on Information Forensics and Security. 17. 357–372. 59 indexed citations
5.
Khosravy, Mahdi, Kazuaki Nakamura, Naoko Nitta, & Noboru Babaguchi. (2020). Deep Face Recognizer Privacy Attack: Model Inversion Initialization by a Deep Generative Adversarial Data Space Discriminator. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1400–1405. 4 indexed citations
6.
Babaguchi, Noboru. (2017). Communication System for Defending against Attacks of Media Clones-Concept, Challenges, and Approaches-. IEICE Technical Report; IEICE Tech. Rep.. 116(497). 25–30. 1 indexed citations
7.
Kawai, Yoshihiko, et al.. (2010). Automated Generation Method for TV Program Trailers Based on Introductory Text. The Journal of The Institute of Image Information and Television Engineers. 64(1). 85–93.
8.
Nishio, Shuichi, et al.. (2008). Situation-based behavior modeling for anomality detection. IEICE Technical Report; IEICE Tech. Rep.. 108(94). 103–108. 1 indexed citations
9.
Kawai, Yoshihiko, Noboru Babaguchi, Masaki Takahashi, et al.. (2008). NHK STRL at TRECVID 2008: High-Level Feature Extraction and Surveillance Event Detection.. TRECVID. 1 indexed citations
10.
Babaguchi, Noboru, et al.. (2007). Access Control Policy Inconsistency Check Using Model Checker. IPSJ SIG Notes. 2007(16). 441–446. 1 indexed citations
11.
Nakashima, Daisuke, et al.. (2007). Human Identification in Surveillance Video Using RFID Tag and Camera Footage. IEICE Technical Report; IEICE Tech. Rep.. 107(281). 81–86.
12.
Nitta, Naoko, et al.. (2006). Viewing Interval Estimation for Personal Preference Acquisition in TV Viewing Environment. IEICE Technical Report; IEICE Tech. Rep.. 105(534). 13–18. 1 indexed citations
13.
Nishio, Shuichi, et al.. (2006). Visual Abstraction for Privacy Preserving Video Surveillance. IEICE Technical Report; IEICE Tech. Rep.. 105(674). 75–80. 8 indexed citations
14.
Nitta, Naoko, et al.. (2006). Video Completion with Spatio-Temporal Features for Video Caption Removal. The Journal of The Institute of Image Information and Television Engineers. 61(1). 91–97.
15.
Nitta, Naoko & Noboru Babaguchi. (2003). Story Segmentation of Broadcasted Sports Videos for Semantic Content Acquisition. IEICE Transactions on Information and Systems. 86(8). 1475. 2 indexed citations
16.
Babaguchi, Noboru, et al.. (2002). Highlight Detection and Indexing in Broadcasted Sports Video by Collaborative Processing of Text, Audio and Image. IEICE Transactions on Information and Systems. 85(11). 1692–1700.
17.
Babaguchi, Noboru, et al.. (1996). A Multi-Agent Based Method for Extracting Characters and Character Strings. IEICE Transactions on Information and Systems. 79(5). 450–455.
18.
Babaguchi, Noboru, et al.. (1995). Constraint satisfaction approach to extraction of Japanese character regions from unformatted document image. IEICE Transactions on Information and Systems. 78(4). 466–475. 4 indexed citations
19.
Kise, Koichi & Noboru Babaguchi. (1994). Representing, Utilizing and Acquiring Knowledge for Document lmage Understanding. IEICE Transactions on Information and Systems. 770–777. 2 indexed citations
20.
Kise, Koichi, et al.. (1990). Model Based Understanding of Document Images.. Machine Vision and Applications. 471–474. 11 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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