TAMAKI Toru

写真a

Affiliation Department

Department of Computer Science
Department of Computer Science

Title

Professor

Homepage

https://sites.google.com/nitech.jp/tamaki-lab/

External Link

Degree

  • 博士(工学) ( 2001.03   名古屋大学 )

Research Areas

  • Informatics / Perceptual information processing  / コンピュータビジョン

External Career

  • Niigata University   Research Assistant

    2001.04 - 2005.09

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    Country:Japan

  • The Open University of Japan   Associate Professor (as old post name)

    2004.04 - 2005.09

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    Country:Japan

  • Hiroshima University   Associate Professor

    2005.10 - 2020.10

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    Country:Japan

  • ESIEE Paris, France   Laboratoire d'Informatique Gaspard-Monge (LIGM), Équipe Algorithmes, Architectures, Analyse et Synthèse d'images (A3SI)   Researcher

    2015.05 - 2016.01

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    Country:France

Professional Memberships

  • 電子情報通信学会

    1996.10

  • 情報処理学会

    2005.06

  • IEEE

    2002.03

 

Papers

  • Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks Reviewed

    Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda, Yasufumi Yamada, Yu Teshima, Emyo Fujioka, Shizuko Hiryu, and Toru Tamaki

    Journal of Robotics and Mechatronics   33 ( 3 )   515 - 525   2021.06

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press Ltd  

    We propose a method that uses ultrasound audio signals from a multichannel microphone array to estimate the positions of flying bats. The proposed model uses a deep convolutional neural network that takes multichannel signals as input and outputs the probability maps of the locations of bats. We present experimental results using two ultrasound audio clips of different bat species and show numerical simulations with synthetically generated sounds.

    DOI: 10.20965/jrm.2021.p0515

    Other Link: https://www.fujipress.jp/jrm/rb/robot003300030515/

  • A Hardware Implementation on Customizable Embedded DSP Core for Colorectal Tumor Classification with Endoscopic Video toward Real-Time Computer-Aided Diagnosis System Reviewed

    Masayuki ODAGAWA, Takumi OKAMOTO, Tetsushi KOIDE, Toru TAMAKI, Bisser RAYTCHEV, Kazufumi KANEDA, Shigeto YOSHIDA, Hiroshi MIENO, Shinji TANAKA, Takayuki SUGAWARA, Hiroshi TOISHI, Masayuki TSUJI, Nobuo TAMBA

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E104-A ( 4 )   691 - 701   2021.04

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEICE  

    In this paper, we present a hardware implementation of a colorectal cancer diagnosis support system using a colorectal endoscopic video image on customizable embedded DSP. In an endoscopic video image, color shift, blurring or reflection of light occurs in a lesion area, which affects the discrimination result by a computer. Therefore, in order to identify lesions with high robustness and stable classification to these images specific to video frame, we implement a computer-aided diagnosis (CAD) system for colorectal endoscopic images with Narrow Band Imaging (NBI) magnification with the Convolutional Neural Network (CNN) feature and Support Vector Machine (SVM) classification. Since CNN and SVM need to perform many multiplication and accumulation (MAC) operations, we implement the proposed hardware system on a customizable embedded DSP, which can realize at high speed MAC operations and parallel processing with Very Long Instruction Word (VLIW). Before implementing to the customizable embedded DSP, we profile and analyze processing cycles of the CAD system and optimize the bottlenecks. We show the effectiveness of the real-time diagnosis support system on the embedded system for endoscopic video images. The prototyped system demonstrated real-time processing on video frame rate (over 30fps @ 200MHz) and more than 90% accuracy.

    DOI: 10.1587/transfun.2020EAP1069

  • Spectral Rendering of Fluorescence on Translucent Materials Reviewed

    Masaya Kugita, Kazufumi Kaneda, Bisser Raytchev, Toru Tamaki

    20 ( 1 )   30 - 39   2021.03

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    To render fluorescence, a wavelength dependent phenomena, we need to take into account the spectral distribution of light. Moreover, for translucent fluorescent medium we need to consider subsurface scattering. We propose a spectral rendering method to render fluorescence on translucent materials under global illumination environment. The proposed method is based on the physical properties of the fluorescence phenomena and rendered in a Probabilistic Progressive Photon Mapping method. By separating the power of photons into 3 elements (fluorescence, single scattering, multiple scattering), our method realizes fluorescence taking into account the scattering and absorption of light under the surface. We also introduce the Photon Power Table used for calculating the illuminance efficiently and deciding the outgoing point of light probabilistically. Finally, we show the usefulness of our method by demonstrating the rendered image.

    Other Link: https://www.art-science.org/journal/v20n1/v20n1pp30/artsci-v20n1pp30.pdf

  • Rephrasing visual questions by specifying the entropy of the answer distribution Reviewed

    Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shin’Ichi Satoh

    IEICE TRANSACTIONS on Information and Systems   E103-D ( 11 )   2362 - 2370   2020.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEICE  

    DOI: 10.1587/transinf.2020EDP7089

    arXiv

    Other Link: https://search.ieice.org/bin/summary.php?id=e103-d_11_2362&category=D&year=2020&lang=E&abst=

  • An Entropy Clustering Approach for Assessing Visual Question Difficulty Reviewed International journal

    Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shin'ichi Satoh

    IEEE Access   8   180633 - 180645   2020.09

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE  

    DOI: 10.1109/ACCESS.2020.3022063

    arXiv

    Other Link: https://ieeexplore.ieee.org/document/9187418

  • 画像中の物体および人物領域の抽出手法に関する研究

    玉木徹

    2001.03

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    Language:Japanese   Publishing type:Doctoral thesis  

    DOI: 10.11501/3181513

    CiNii Articles

Books and Other Publications

Misc

  • 移動軌跡のデータサイエンス Invited

    玉木徹

    74 ( 2 )   236 - 240   2020.03

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)   Publisher:株式会社エヌ・ティー・エス  

    Other Link: http://www.nts-book.co.jp/item/detail/summary/bio/20051225_42bk.html

Presentations

  • Estimating the number of Table Tennis Rallies in a Match Video International conference

    Shoma Kato, Akira Kito, Toru Tamaki, Hiroaki Sawano

    International Workshop on Advanced Image Technology 2022 (IWAIT 2022) 

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    Event date: 2022.01

    Language:English   Presentation type:Poster presentation  

  • On the Instability of Unsupervised Domain Adaptation with ADDA International conference

    Kazuki Omi, Toru Tamaki

    International Workshop on Advanced Image Technology 2022 (IWAIT 2022) 

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    Event date: 2022.01

    Language:English   Presentation type:Poster presentation  

  • Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning International conference

    Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda

    UNSURE 2021: Uncertainty Estimation and Modelling and Annotation Uncertainty in Conjunction with MICCAI 2021 

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    Event date: 2021.10

    Language:English   Presentation type:Poster presentation  

  • 深層学習を用いた映像解析 Invited

    玉木徹

    第2回多結晶材料情報学応用技術研究会  (公財)科学技術交流財団

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    Event date: 2021.09

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン  

  • 弱教師ありのアクション区間検出のためのプロトタイプを用いた説明可能なネットワーク

    丸山虎実輝, Bisser Raytchev, 金田和文, 玉木 徹

    第24回 画像の認識・理解シンポジウム (MIRU2021)  情報処理学会コンピュータビジョンとイメージメディア(CVIM)研究会

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    Event date: 2021.07

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 動作認識のための時空間特徴における時間的相互作用

    藤井渉, Bisser Raytchev, 金田和文, 玉木徹

    第24回 画像の認識・理解シンポジウム (MIRU2021)  情報処理学会コンピュータビジョンとイメージメディア(CVIM)研究会

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    Event date: 2021.07

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 深層学習を用いたJNET分類に基づく大腸内視鏡画像診断支援の一手法

    道田 竜一、片山 大輔、井櫻 星二、呉 泳飛、小出 哲士、玉木 徹、吉田 成人、三重 野寛、岡本 由貴、田中 信治

    第27回画像センシングシンポジウム(SSII2021)  画像センシング技術研究会

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    Event date: 2021.06

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 深層学習を用いたNICE分類に基づく大腸内視鏡画像診断支援の一手法

    片山 大輔、道田 竜一、井櫻 星二、小出 哲士、玉木 徹、吉田 成人、三重 野寛、岡本 由貴、田中 信治、呉 泳飛

    第27回画像センシングシンポジウム(SSII2021)  画像センシング技術研究会

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    Event date: 2021.06

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • p-TSM: Learning to shift temporal features point-wise for action recognition International conference

    Wataru Fuji, Bisser Raytchev, Kazufumi Kaneda and Toru Tamaki

    The International Workshop on Frontiers of Computer Vision (IW-FCV2021) 

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    Event date: 2021.02

    Language:English   Presentation type:Poster presentation  

    Venue:online  

  • Weakly supervised temporal action localization with additional sub networks for local spatial information International conference

    Komiki Maruyama, Bisser Raytchev, Kazufumi Kaneda and Toru Tamaki

    The International Workshop on Frontiers of Computer Vision (IW-FCV2021) 

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    Event date: 2021.02

    Language:English   Presentation type:Poster presentation  

    Venue:online  

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Industrial Property Rights

  • 牛体診断システムおよび牛体診断方法

    川村 健介, 玉木 徹, 小櫃 剛人, 黒川 勇三

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    Applicant:国立大学法人広島大学

    Application no:特願2014-188656  Date applied:2014.09

    Announcement no:特開2016-059300  Date announced:2016.04

    Country of applicant:Domestic   Country of acquisition:Domestic

    J-GLOBAL

  • 内視鏡画像診断支援システム

    小出 哲士, ホアン アイン トゥワン, 吉田 成人, 三島 翼, 重見 悟, 玉木 徹, 平川 翼, 宮木 理恵, 杉 幸樹

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    Applicant:国立大学法人広島大学

    Application no:特願2014-022425  Date applied:2014.02

    Announcement no:特開2015-146970  Date announced:2015.08

    Country of applicant:Domestic   Country of acquisition:Domestic

    J-GLOBAL

  • 物体検出装置及び物体検出方法

    田中 慎也, 土谷 千加夫, 玉木 徹, 栗田 多喜夫

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    Applicant:日産自動車株式会社, 国立大学法人広島大学

    Application no:特願2012-267267  Date applied:2012.12

    Announcement no:特開2014-115706  Date announced:2014.06

    Country of applicant:Domestic   Country of acquisition:Domestic

    J-GLOBAL

  • 画像のレンズ歪みの補正方法

    玉木 徹, 山村 毅, 大西 昇

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    Applicant:理化学研究所

    Application no:特願2001-054686  Date applied:2001.02

    Announcement no:特開2002-158915  Date announced:2002.05

    Patent/Registration no:特許第3429280号  Date registered:2003.05  Date issued:2003.05

    Country of applicant:Domestic   Country of acquisition:Domestic

    J-GLOBAL

Awards

  • 2020年度IPSJ-CGVI優秀研究発表賞

    2021.06   情報処理学会コンピュータグラフィックスとビジュアル情報学研究発表会   スペクトル類似度を考慮した深層学習によるRGB画像からスペクトル画像への変換手法

    坂本真啓, 金田和文, 玉木徹, Bisser Raytchev

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    Award type:International academic award (Japan or overseas)  Country:Japan

  • 電子情報通信学会情報・システムソサイエティ功労賞

    2021.06   電子情報通信学会情報・システムソサイエティ  

    玉木徹

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

  • 平成17年度金森奨励賞

    2006.06   医用画像情報学会  

    玉木徹

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    Award type:Honored in official journal of a scientific society, scientific journal 

  • 平成11年度学生奨励賞

    1999.11   電子情報通信学会東海支部  

    玉木徹

Scientific Research Funds Acquisition Results

  • Development of a Real-Time Computer-Aided Diagnosis System Based on Objective Indicators for Gastrointestinal Endoscopic Image Analysis

    2020.04 - 2023.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

  • Construction of objective indicators by gastrointestinal endoscopic image analysis and development of general computer-aided diagnosis system

    2017.04 - 2020.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

  • Systems Science of Bio-Navigation

    2016.06 - 2021.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  • ナビゲーションにおける画像情報分析基盤の整備とヒトの行動分類

    2016.06 - 2021.03

    科学研究費補助金  新学術領域研究(研究領域提案型)

    玉木 徹、玉木 徹, 藤吉 弘亘

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    本研究では,本計画班の構成員が開発してきた最先端の映像認識技術に立脚し,野生動物やペットなどに装着したカメラから得られた映像や,人間が撮影した映 像など,これまでの映像認識技術では処理が困難な自己移動を含む映像を,安定かつ頑健に認識する技術を開発し,本領域における画像・映像情報分析のための 基盤技術を構築する.本年度の実績は以下のとおりである.
    ・前年度までに,B01生態学チームから提供された海鳥のGPU経路データを学習し,目的地までに至る経路を予測するための逆強化学習を利用した手法を開発している.これをさらに発展させて,GPS経路データの欠損部分を補完する手法を開発した.これにより,これまでは様々な原因で得られなかった経路情報が,データ駆動型モデルによりもっともらしい経路を出力することが可能になり,また補完経路を確率分布として出力することが可能となった.しかしこの手法は膨大な計算時間と多大なメモリ量を必要とするため,制度を保ちつつ計算コストを大幅に削減する手法を考案した.
    ・映像中の人物移動軌跡をいくつかのグループに分け(クラスタリングし),歩行目的地に応じて分割する手法を,さらに発展させた.これは前年度までに開発したベイズ推定に基づく手法である.それぞれの目的地へと到達する様子カーネル密度推定を用いて可視化し,どのような経路と目的地が頻繁に利用されているのかを把握することが可能となった.
    ・B01生態学チームから提供されたコウモリの音声データから3次元位置を予測する手法を開発した.屋内で飛行するコウモリの3次元位置を,20chのマイクロホンアレイで録音された音声信号から,回帰によって推定する深層ネットワークを提案し,20cm程度の誤差(RMSE)で推定することが可能となった.

  • Computer vision approach to scattering tomography

    2014.04 - 2018.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

    Tamaki Toru, MUKAIGAWA Yasuhiro, KANEDA Kazufumi, HIGAKI Toru, Raytchev Bisser, Yuan Bingzhi, KUSHIDA Tomohiro

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    In this research, we develop a novel optical tomography method that can model multiple scattering that is closer to reality than isotropic scattering or simple scattering. The purpose of this research is to analyze the scattering of infrared light inside the object using the method used in computer graphics, and to solve the inverse problem by computer vision approach and estimate the inside of the object. In this study, the internal structure of the object (that is, the extinction coefficient of light at each point) is estimated by observing the light emitted from the upper part of the object and observing the light emitted from the lower side of the object. This problem was formulated as a constrained optimization problem using an approximate layer multiple scattering model, and an efficient calculation method was devised.

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