Kunio Kashino

Profile Information

Affiliation: Fellow, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
: National Institute of Informatics

Degree: Ph.D.(Mar, 1995, The University of Tokyo)

J-GLOBAL ID: 201101070597096768
researchmap Member ID: B000000318

東京大学大学院工学系研究科博士課程修了。博士（工学）。
専門はメディア情報処理、特に音響信号・映像信号の探索、認識、およびクロスモーダル解析。

Research Interests

Research Areas

Research History

Apr, 2023 - Present

Fellow, Communication Science Laboratories, NTT Corporation
Oct, 2008 - Present

National Institute of Informatics
Apr, 2015 - Mar, 2023

Senior Distinguished Researcher, Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
Jun, 2015 - Mar, 2020

Graduate School of Information Science and Technology, The University of Tokyo
Jul, 2014 - Jun, 2019

Head of Media Information Laboratory, NTT Communication Science Laboratories
Apr, 2005 - Mar, 2015

NTT Communication Science Laboratories
Jan, 2002 - Dec, 2002

Visiting Scholar, Cambridge University
Apr, 1995

日本電信電話株式会社に入社ＮＴＴ基礎研究所に所属
Mar, 1995

The Graduate School of Engineering, The University of Tokyo

Professional Memberships

Awards

Apr, 2019

科学技術分野の文部科学大臣表彰科学技術賞
Jun, 2017

業績賞, 電子情報通信学会
Jan, 2016

高柳健次郎業績賞
Mar, 2010

前島賞
Apr, 2007

科学技術分野の文部科学大臣表彰若手科学者賞
2004

Transactions on Multimedia Paper Award, IEEE
May, 2002

業績賞, 電子情報通信学会

Misc.

146

Bayesian nonparametric model for uncountable factor analysis

117(293) 185-192, Nov 9, 2017
Study on Gaze Target Localization from Low-Resolution Faces of Group of People

117(238) 199-204, Oct 12, 2017
Conditional Filtered Generative Adversarial Networksを用いた生成的属性制御 (情報論的学習理論と機械学習)

金子卓弘, 平松薫, 柏野邦夫

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 117(211) 213-220, Sep 15, 2017
Conditional Filtered Generative Adversarial Networksを用いた生成的属性制御 (パターン認識・メディア理解)

金子卓弘, 平松薫, 柏野邦夫

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 117(210) 213-220, Sep 15, 2017
あなた専用のお手本映像で上達支援 (特集人に迫るAI,人に寄り添うAI : corevoを支えるコミュニケーション科学)

金子卓弘, 平松薫, 柏野邦夫

NTT技術ジャーナル, 29(9) 8-12, Sep, 2017
Non-native speech conversion with consistency-aware recursive network and generative adversarial network

116(477) 315-320, Mar 1, 2017
Fast Algorithm for Statistical Phrase/Accent Command Estimation Based on Generative Model Incorporating Spectral Features

116(378) 43-48, Dec 20, 2016
Generative Adversarial Network-based Postfiltering for Statistical Parametric Speech Synthesis

116(378) 89-94, Dec 20, 2016
Infinite graphs with finite diameters

116(300) 221-228, Nov 16, 2016
Towards Automatic 3D Reconstruction of Categories Using Manifolds : Guide to the Technical Report and Template

115(225) 1-6, Sep 14, 2015
Specific Object Search Based On Result Re-ranking Using Region-of-interest Information

MURATA Masaya, NAGANO Hidehisa, KAWANISHI Takahito, HIRAMATSU Kaoru, KASHINO Kunio

Technical Committee on Biometrics, 114(520) 245-249, Mar 19, 2015
音響信号との時空間同期を利用した視覚的顕著性の計算モデル (マルチメディア・仮想環境基礎)

中島次郎, 木村昭悟, 杉本晃宏, 柏野邦夫

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114(410) 319-322, Jan 22, 2015
音響信号との時空間同期を利用した視覚的顕著性の計算モデル

中島次郎, 木村昭悟, 杉本晃宏, 柏野邦夫

研究報告コンピュータビジョンとイメージメディア（CVIM）, 2015(57) 1-4, Jan 15, 2015
A Study on Image Transformation of Eye Areas for Synthesizing Eye-Contacts in Video Conferencing

INOUE Takuya, TAKAHASHI Tomokazu, HIRAYAMA Takatsugu, DEGUCHI Daisuke, IDE Ichiro, MURASE Hiroshi, KUROZUMI Takayuki, KASHINO Kunio

Technical report of IEICE. PRMU, 114(230) 33-38, Oct 9, 2014
Automatic playlist creation from user playlist networks

KIMURA Akisato, KASHINO Kunio, HIRAMATSU Kaoru, KAWANISHI Takahito

Technical report of IEICE. PRMU, 114(230) 39-44, Oct 9, 2014
Communication Science and Artificial Intelligence Research : Activities at NTT Communication Science Laboratories

Kunio Kashino, Kaoru Hiramatsu, Junji Yamato, Takeshi Yamada, NTT Communication Science Laboratories Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories Nippon Telegraph and Telephone Corporation

29(5) 464-471, Sep 1, 2014
ガウス過程回帰の混合エキスパートモデルを用いた歌声F₀軌跡の予測と歌唱表現変換 (音声音学シンポジウム2014)

大石康智, 持橋大地, 亀岡弘和, 柏野邦夫

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114(52) 245-250, May 24, 2014
ガウス過程回帰の混合エキスパートモデルを用いた歌声F₀軌跡の予測と歌唱表現変換

大石康智, 持橋大地, 亀岡弘和, 柏野邦夫

研究報告音楽情報科学（MUS）, 2014(49) 1-6, May 17, 2014
The future of multimedia analysis and mining

Shin'ichi SATOH, Kunio KASHINO, Nozha BOUJEMAA, Alexander G. HAUPTMANN

Progress in informatics : PI, 11 1-2, Mar, 2014
A study on memory-based regression for spatial people density estimation

TABUCHI Yoshimune, TAKAHASHI Tomokazu, DEGUCHI Daisuke, IDE Ichiro, MURASE Hiroshi, KUROZUMI Takayuki, KASHINO Kunio

Technical report of IEICE. PRMU, 113(432) 35-40, Feb 13, 2014

Papers

140

Deep attentive time warping.

Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida

Pattern Recognit., 136 109201-109201, Apr, 2023
Reflectance-Oriented Probabilistic Equalization for Image Enhancement.

Xiaomeng Wu, Yongqing Sun, Akisato Kimura, Kunio Kashino

CoRR, abs/2209.06406, 2022
Contrast enhancement based on reflectance-oriented probabilistic equalization.

Xiaomeng Wu, Yongqing Sun, Akisato Kimura, Kunio Kashino

Signal Processing, 194 108447-108447, 2022
ConceptBeam: Concept Driven Target Speech Extraction.

Yasunori Ohishi, Marc Delcroix, Tsubasa Ochiai, Shoko Araki, Daiki Takeuchi, Daisuke Niizumi, Akisato Kimura, Noboru Harada, Kunio Kashino

CoRR, abs/2207.11964, 2022
ConceptBeam: Concept Driven Target Speech Extraction.

Yasunori Ohishi, Marc Delcroix, Tsubasa Ochiai, Shoko Araki, Daiki Takeuchi, Daisuke Niizumi, Akisato Kimura, Noboru Harada, Kunio Kashino

ACM Multimedia, 4252-4260, 2022
Total Whitening for Online Signature Verification Based on Deep Representation

Xiaomeng Wu, Akisato Kimura, Kunio Kashino, Seiichi Uchida

2020 25th International Conference on Pattern Recognition (ICPR), Jan 10, 2021
Reflectance-Oriented Probabilistic Equalization for Image Enhancement.

Xiaomeng Wu, Yongqing Sun, Akisato Kimura, Kunio Kashino

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1835-1839, 2021
Deep Reinforcement Image Matching with Self-Termination.

Onkar Krishna, Go Irie, Xiaomeng Wu, Akisato Kimura, Kunio Kashino

2021 IEEE International Conference on Image Processing(ICIP), 1254-1258, 2021
Attention to Warp: Deep Metric Learning for Multivariate Time Series

Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12823 LNCS 350-365, 2021
Knowledge Discovery from Layered Neural Networks Based on Non-negative Task Matrix Decomposition

Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E103D(2) 390-397, Feb, 2020 Peer-reviewed
Translating Adult's Focus of Attention to Elderly's.

Onkar Krishna, Go Irie, Takahito Kawanishi, Kunio Kashino, Kiyoharu Aizawa

25th International Conference on Pattern Recognition(ICPR), 563-568, 2020
Cascaded Transposed Long-Range Convolutions for Monocular Depth Estimation.

Go Irie, Daiki Ikami, Takahito Kawanishi, Kunio Kashino

Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, 437-453, 2020
Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds.

Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino

Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, 257-272, 2020
Total Whitening for Online Signature Verification Based on Deep Representation.

Xiaomeng Wu, Akisato Kimura, Kunio Kashino, Seiichi Uchida

655-661, 2020
Understanding community structure in layered neural networks

Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino

NEUROCOMPUTING, 367 84-102, Nov, 2019 Peer-reviewed
Localizing the Gaze Target of a Crowd of People

Yuki Kodama, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hidehisa Nagano, Kunio Kashino

COMPUTER VISION - ACCV 2018 WORKSHOPS, 11367 15-30, 2019 Peer-reviewed
ROBUST LEARNING FOR DEEP MONOCULAR DEPTH ESTIMATION

Go Irie, Takahito Kawanishi, Kunio Kashino

2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 964-968, 2019 Peer-reviewed
Deep Dynamic Time Warping: End-to-End Local Representation Learning for Online Signature Verification.

Xiaomeng Wu, Akisato Kimura, Brian Kenji Iwana, Seiichi Uchida, Kunio Kashino

2019 International Conference on Document Analysis and Recognition(ICDAR), 1103-1110, 2019 Peer-reviewed
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering.

Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino

2019 IEEE/CVF International Conference on Computer Vision(ICCV), 9874-9883, 2019 Peer-reviewed
SEEING THROUGH SOUNDS: PREDICTING VISUAL SEMANTIC SEGMENTATION RESULTS FROM MULTICHANNEL AUDIO SIGNALS

Go Irie, Mirela Ostrek, Haochen Wang, Hirokazu Kameoka, Akisato Kimura, Takahito Kawanishi, Kunio Kashino

2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 3961-3964, 2019 Peer-reviewed

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Research Interests

Research Areas

Research History

Professional Memberships

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Misc.

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