Journal Paper

• R. Nakazawa, Y. Minamoto, N. Inoue, M. Tanahashi. Species reaction rate modelling based on physics-guided machine learning, Combustion and Flame, 235, 111696, Jan. 2022.
• Mariana RODRIGUES MAKIUCHI, Tifani WARNITA, Nakamasa INOUE, Koichi SHINODA, Michitaka YOSHIMURA, Momoko KITAZAWA, Kei FUNAKI, Yoko EGUCHI, Taishiro KISHIMOTO. Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network, IEICE TRANSACTIONS on Information and Systems, The Institute of Electronics, Information and Communication Engineers, Vol. E104-D, No. 11, pp. 1930-1940, Nov. 2021.
• K. Jigjid, C. Tamaoki, Y. Minamoto, R. Nakazawa, N. Inoue, M. Tanahashi. Data driven analysis and prediction of MILD combustion mode, Combustion and Flame, Vol. 223, pp. 475-485, Jan. 2021.
• K. Jigjid, C. Tamaoki, Y. Minamoto, R. Nakazawa, N. Inoue, M. Tanahashi. Corrigendum to "Data driven analysis and prediction of MILD combustion mode, Combustion and Flame, Vol. 227, pp. 481-482, Jan. 2021.
• Tommi Kerola, Nakamasa Inoue, Koichi Shinoda. Cross-View Human Action Recognition from Depth Maps Using Spectral Graph Sequences, Elsevier Journal of Computer Vision and Image Understanding (CVIU), ElsevierInc., vol. 154, pp. 108-126, Jan. 2017.  Official location  
• Nakamasa Inoue, Koichi Shinoda. Semantic Indexing for Large-Scale Video Retrieval, ITE Transactions on Media Technology and Applications, vol. 4, no. 3, pp. 209-217, July 2016.
• Nakamasa Inoue, Koichi Shinoda. Fast Coding of Feature Vectors using Neighbor-To-Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 6, pp. 1170-1184, Sept. 2015.  Official location  
• Nakamasa Inoue, Koichi Shinoda. q-Gaussian Mixture Models for Image and Video Semantic Indexing, Journal of Visual Communication and Image Representation, vol. 24, no. 8, pp. 1450-1457, Nov. 2013.
• Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda. Event detection in consumer videos using GMM supervectors and SVMs, EURASIP Journal on Image and Video Processing, vol. 2013:51, pp. 1-13, Sept. 2013.  Official location  
• Nakamasa Inoue, Koichi Shinoda. A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors, IEEE Transactions on Multimedia, vol. 14, Issue: 4 Part 2, pp. 1196-1205, Aug. 2012.
• Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, SADAOKI FURUI. 大規模映像資源のためのマルチモーダル高次特徴検出, 電子情報通信学会論文誌, 電子情報通信学会, Vol. J93-D, No. 12, pp. 2633-2644, Dec. 2010.

International Conference (Reviewed)

• Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue. Efficient Target Propagation by Deriving Analytical Solution, The 38th Annual AAAI Conference on Artificial Intelligence, Proc. AAAI2024, Feb. 2024.
• Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue. Learning with Partial Forgetting in Modern Hopfield Networks, The 26th International Conference on Artificial Intelligence and Statistics, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Apr. 2023.  Official location  
• Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato. Fixed-Weight Difference Target Propagation, the 37th AAAI Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 8, pp. 9811-9819, Feb. 2023.
• Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami. PoF: Post-Training of Feature Extractor for Improving Generalization, International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), June 2022.
• Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota. Replacing Labeled Real-image Datasets with Auto-generated Contours, IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2022.
• Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato. Disentangling Latent Groups of Factors, 2021 IEEE International Conference on Image Processing, Proc. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, Sept. 2021.  Official location  
• Keita Goto, Nakamasa Inoue. Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters, 17th International Conference on Machine Vision Applications(MVA), July 2021.  Official location  
• Hikaru Nakata, Nakamasa Inoue, Rio Yokota. Self-supervised Continual Pretraining for Class Incremental Image Classification, CVPR CLVISION Workshop (Findings), Proc. CVPR CLVISION Workshop (Findings), June 2021.
• Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka. Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data, 25th INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), Proceedings of ICPR 2020 25th International Conference on Pattern Recognition, IEEE, pp. 1023-1028, May 2021.
• Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. Augmented Cyclic Consistency Regularization for Unpaired Image-To-Image Translation, 25th INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), Proceedings of ICPR 2020 25th International Conference on Pattern Recognition, IEEE, pp. 362-369, May 2021.  Official location  
• Nakamasa Inoue, Keita Goto. Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020（APSIPA ASC）, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 1641-1646, Dec. 2020.  Official location  
• Nakamasa Inoue, Keita Goto. Closed-Form Pre-Training for Small-Sample Environmental Sound Recognition, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020（APSIPA ASC）, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 1693-1697, Dec. 2020.  Official location  
• Nakamasa Inoue, Keita Goto. Optimizing Speaker Embeddings using Meta-Training Sets, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020（APSIPA ASC）, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 600-604, Dec. 2020.  Official location  
• Keita Goto, Nakamasa Inoue. Quasi-Newton Adversarial Attacks on Speaker Verification Systems, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020（APSIPA ASC）, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 527-531, Dec. 2020.  Official location  
• Nakamasa Inoue. Graph Grouping Loss for Metric Learning of Face Image Representations, 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), IEEE, pp. 152-155, Dec. 2020.  Official location  
• Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh. Pre-training without Natural Images, 15th Asian Conference on Computer Vision(ACCV), Nov. 2020.  Official location  
• Raden Mu’az Mun’im, Nakamasa Inoue, Koichi Shinoda. SEQUENCE-LEVEL KNOWLEDGE DISTILLATION FOR MODEL COMPRESSION OF ATTENTION-BASED SEQUENCE-TO-SEQUENCE SPEECH RECOGNITION, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2019, IEEE, page 6151-6155, May 2019.
• Nakamasa Inoue, Koichi Shinoda. Few-Shot Adaptation for Multimedia Semantic Indexing, 26th ACM international conference on Multimedia, Proceedings of the 26th ACM international conference on Multimedia, Association for Computing Machinery, pp. 1110-1118, Oct. 2018.
• Thao Minh Le, Nakamasa Inoue, Koichi Shinoda. A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition, 29TH BRITISH MACHINE VISION CONFERENCE, Proc. British Machine Vision Conference (BMVC), British Machine Vision Association (BMVA), Sept. 2018.  Official location  
• Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda. I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification, Interspeech 2018, Proc. Interspeech 2018, ISCA, pp. 3613-3617, Sept. 2018.  Official location  
• Tifani Warnita, Nakamasa Inoue, Koichi Shinoda. Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data, Interspeech 2018, Proc. Interspeech 2018, ISCA, pp. 1706-1710, Sept. 2018.  Official location  
• Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda. Multi-Task Autoencoder for Noise-Robust Speech Recognition, ICASSP 2018, Proc. ICASSP, pp. 5599-5603, Apr. 2018.
• Yuki Yasui, Nakamasa Inoue, Koji Iwano, Koichi Shinoda. Multimodal Speech Recognition Using Mouth Images from Depth Camera, APSIPA ASC 2017, Proc. APSIPA, pp. 1233-1236, Dec. 2017.  Official location  
• Conggui Liu, Nakamasa Inoue, Koichi Shinoda. A Unified Network for Multi-Speaker Speech Recognition with Multi-Channel Recordings, APSIPA ASC 2017, Proc. APSIPA, pp. 1304-1307, Dec. 2017.  Official location  
• Mengxi Lin, Nakamasa Inoue, Koichi Shinoda. CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos, ACM International Multimedia Conference 2017, Proc. ACM Multimedia Thematic Workshop, pp. 393-401, Oct. 2017.
• Shinya Matsui, Nakamasa Inoue, Yuko Akagi, Goshu Nagino, Koichi Shinoda. User Adaptation of Convolutional Neural Network for Human Activity Recognition, European Signal Processing Conference (EUSIPCO), 2017 25th European Signal Processing Conference (EUSIPCO), pp. 753-757, Oct. 2017.  Official location  
• Tommi Kerola, Nakamasa Inoue, Koichi Shinoda. Graph Regularized Implicit Pose for 3D Human Action Recognition, Asia Pacific Signal and Information Processing Association (APSIPA), Proc. APSIPA, pp. 155-159, Dec. 2016.
• Nakamasa Inoue, Koichi Shinoda. Adaptation of Word Vectors using Tree Structure for Visual Semantics, ACM Multimedia, Proc. ACM Multimedia, pp. 277-281, Oct. 2016.
• Nakamasa Inoue, Koichi Shinoda. Vocabulary Expansion Using Word Vectors for Video Semantic Indexing, ACM Multimedia 15, Proc. ACM Multimedia, pp. 851-854, Oct. 2015.
• Fumito Nishi, Nakamasa Inoue, Koichi Shinoda. Speaker Diarization Using Multi-Modal i-vectors, The 30th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2015, Proc. International Technical Conference on Circuits/Systems Computers and Communications (ITC-CSCC), pp. 27-30, June 2015.
• Tommi Kerola, Nakamasa Inoue, Koichi Shinoda. Spectral Graph Skeletons for 3D Action Recognition, The 12th Asian Conference on Computer Vision (ACCV 2014), Proc. Asian Conference on Computer Vision (ACCV), Springer International Publishing AG, Cham, pp. 1-16, Nov. 2014.  Official location  
• Nakamasa Inoue, Koichi Shinoda. n-Gram Models for Video Semantic Indexing, ACM Multimedia, Proc. ACM Multimedia (MM), ACM, pp. 777-780, Nov. 2014.  Official location  
• Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda. Event Detection by Velocity Pyramid, Multimedia Modeling (MMM) 2014, Proc. Multimedia Modeling (MMM), pp. 353-364, Jan. 2014.
• Nakamasa Inoue, Koichi Shinoda. Neighbor-To-Neighbor Search for Fast Coding of Feature Vectors, 2013 IEEE International Conference on Computer Vision, 2013 IEEE International Conference on Computer Vision, pp. 1233-1240, Dec. 2013.
• Nakamasa Inoue, Koichi Shinoda. q-Gaussian Mixture Models Based on Non-Extensive Statistics for Image And Video Semantic Indexing, ACCV2012, ACCV2012, Nov. 2012.
• Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato. MULTIMEDIA EVENT DETECTION USING GMM SUPERVECTORS AND SVMS, ICIP 2012, ICIP 2012, pp. 3089-3092, Oct. 2012.
• Nakamasa Inoue, Koichi Shinoda. A Fast MAP Adaptation Technique for GMM-supervector-based Video Semantic Indexing Systems, ACM Multimedia'11, Proc. ACM Multimedia 2011, pp. 1357-1360, Nov. 2011.
• Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui. High-Level Feature Extraction Using SIFT GMMs and Audio Models, ICPR2010, Proc. ICPR2010, IEEE, pp. 3220-3223, Aug. 2010.

Domestic Conference (Reviewed)

• Ryota Yamada, Ikuro Sato, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami. 深層モデルの汎化性能改善を目的とした特徴抽出器の事後学習, 第25回画像の認識・理解シンポジウム (MIRU2022), 第25回画像の認識・理解シンポジウム (MIRU2022), pp. OL2A-2-1-8, July 2022.
• Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue. Can Vision Transformers Learn without Natural Images?, 画像の認識・理解シンポジウム MIRU2021, July 2021.  Official location  
• 松本 晨人, 山縣 英介, Nakamasa Inoue, 片岡 裕雄, 佐藤 雄隆. 数式ベースの事前学習用データセットの特性評価, The 26th Symposium on Sensing via Image Information(SSII), June 2020.  Official location  

International Conference (Not reviewed / Unknown)

• Ronaldo Prata Amorim, Nakamasa Inoue, Koichi Shinoda. Tokyo Tech at TRECVID 2022: Multi-Stage Framework for Video Action Detection, TRECVID 2022, TRECVID Workshop, TRECVID, Dec. 2022.
• Ronaldo Prata Amorim, Nakamasa Inoue, Koichi Shinoda. Tokyo Tech at TRECVID 2020: Relation Modeling for Video Action Detection, TREC Video Retrieval Evaluation (TRECVID) 2020, TRECVID 2020 Notebook Papers, TRECVID, Dec. 2020.  Official location  
• Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex Chichung Kot. VANT at TRECVID 2018, 2018 TRECVID Workshop, Proc. TRECVID workshop, Nov. 2018.  Official location  
• Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Satoshi Kanai, Junsuke Masada, Chihiro Shiraishi, Shi-wook Lee, Koichi Shinoda. TokyoTech-AIST at TRECVID 2017: Multimedia Event Detection Using Deep CNNs and Zero-Shot Classifiers, TRECVID 2017, Proc. TRECVID workshop, pp. 1-6, Nov. 2017.
• Y. Yatsu, T. Yoshii, N. Kawai, J. Sakuma, N. Inoue, K. Shinoda, T. Shimokawabe. Development of a cloud detection system utilizing image recognition technology, V WORKSHOP ON ROBOTIC AUTONOMOUS OBSERVATORIES, Oct. 2017.
• Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Koichi Shinoda. TokyoTech at TRECVID 2016, TRECVID workshop, Proc. TRECVID workshop, pp. 1-6, Nov. 2016.  Official location  
• Nakamasa Inoue, Tran Hai Dang, Ryosuke Yamamoto, Koichi Shinoda. TokyoTech at TRECVID 2015, TRECVID workshop, Proc. TRECVID workshop, pp. 1-10, Nov. 2015.  Official location  
• Fumito Nishi, Nakamasa Inoue, Koichi Shinoda. Combining Audio Features and Visual i-vector at MediaEval 2015 Multimodal Person Discovery in Broadcast TV, MediaEval 2015, Proc. MediaEval Workshop, Sept. 2015.  Official location  
• Nakamasa Inoue, Zhuolin Liang, Mengxi Lin, Tran Hai Dang, Koichi Shinoda, Zhang Xuefeng, Kazuya Ueki. TokyoTech-Waseda at TRECVID 2014, TRECVID workshop, Proc. TRECVID workshop, pp. 1-13, Nov. 2014.
• Nakamasa Inoue, Yusuke Kamishima, Kotaro Mori, Koichi Shinoda. TokyoTechCanon at TRECVID 2012, TRECVID 2012, TRECVID 2012, Nov. 2012.
• Nakamasa Inoue, Yusuke Kamishima, Toshiya Wada, Koichi Shinoda, Shunsuke Sato. TokyoTech+Canon at TRECVID 2011, TRECVID Workshop 2011, Proc.TRECVID Workshop 2011, Dec. 2011.
• Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Ilseo Kim, Byungki Byun, Chin-Hui Lee. TT+GT at TRECVID 2010 Workshop, Proc. TRECVID Workshop 2010, Nov. 2010.
• Nakamasa Inoue, Shanshan Hao, Tatsuhiko Saito, Koichi Shinoda, Ilseo Kim, Chin-Hui Lee. TITGT at TRECVID 2009 Workshop, TRECVID Workshop (TRECVID 2009), Proc. TRECVID Workshop (TRECVID 2009), Nov. 2009.

Domestic Conference (Not reviewed / Unknown)

• Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato. 二値重み空間でのBinary Neural Networksの学習, 画像の認識・理解シンポジウムMIRU2023, MIRU2023 Extended Abstract集, Information Processing Society of Japan, July 2023.
• Mayuko Era, Nakamasa Inoue, Koichi Shinoda, Katsuhiro Murata, Mahito Sasada, Masafumi Niwano, Yoichi Yatsu, Nobuyuki Kawai. 天体画像における深層学習を用いたラインノイズ除去手法, 日本天文学会2023年春季年会, 日本天文学会2023年春季年会講演予稿集, Mar. 2023.
• Mayuko Era, Nakamasa Inoue, Koichi Shinoda, Katsuhiro Murata, Mahito Sasada, Ryohei Hosokawa, Masafumi Niwano, Yoichi Yatsu, Nobuyuki Kawai. 天体画像における深層学習を用いたラインノイズ除去手法, 第13回光赤外線天文学大学間連携ワークショップ, Feb. 2023.
• Katsuhiro Murata, 高橋一郎, Ryohei Hosokawa, Mahito Sasada, Masafumi Niwano, Yoichi Yatsu, Nobuyuki Kawai, Koichi Shinoda, Nakamasa Inoue, Ryosuke Itoh, Takashi Shimokawabe. 畳み込みニューラルネットワークを用いたMITSuME望遠鏡画像からの突発天体検知, 第13回光赤外線天文学大学間連携ワークショップ, Feb. 2023.
• RYU TADOKORO, HIROKATSU KATAOKA, REI KAWAKAMI, RIO YOKOTA, NAKAMASA INOUE. 蒸留画像による事前学習効果についての検討, ViEW ビジョン技術の実利用ワークショップ, 講演論文集, Dec. 2022.
• Naohiro Ito, Katsuhiro Murata, Ryohei Hosokawa, Mahito Sasada, Masafumi Niwano, Yoichi Yatsu, Nobuyuki Kawai, Koichi Shinoda, Nakamasa Inoue, Ryosuke Itoh, Takashi Shimokawabe. MITSuME望遠鏡画像に対する深層学習を用いた突発天体検知システムの構築, 日本天文学会2022年秋季年会, 日本天文学会2022年秋季年会講演予稿集, The Astronomical Society of Japan, Sept. 2022.
• Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue. ランダム行列による固定逆伝播ネットワークを用いた Target Propagation の改良, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue. Learning with Partial Forgetting in Modern Hopfield Networks, 第25回画像の認識・理解シンポジウム (MIRU2022), 第25回画像の認識・理解シンポジウム (MIRU2022), July 2022.
• Mayuko Era, Nakamasa Inoue, Koichi Shinoda, Ryohei Hosokawa, Katsuhiro Murata, Masafumi Niwano, Yoichi Yatsu, Nobuyuki Kawai. ロバスト主成分分析に基づく劣化CCDカメラ画像のノイズ除去, 日本天文学会2022年春季年会, 日本天文学会2022年春季年会講演予稿集, Mar. 2022.
• Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. Consistency Regularization using Data Augmentation for Cycle-Consistent GANs, The 23rd Meeting on Image Recognition and Understanding (MIRU), Aug. 2021.  Official location  
• Nakamasa Inoue. 限られたデータからの深層学習, 画像の認識・理解シンポジウム MIRU2021, July 2021.  Official location  
• Nakamasa Inoue. 限られたデータからの学習法, 精密工学会画像応用技術専門委員会 2020年度第2回定例研究会（TCーIAIP), July 2020.  Official location  
• Jigjid Kherlen, Yuki Minamoto, Nakazawa Ryota, Inoue Nakamasa, Tanahashi Mamoru. A DNN based identifier for MILD combustion mode in an LES context, 日本伝熱学会第57回日本伝熱シンポジウム, June 2020.
• Nakamasa Inoue. 限られたデータからの深層学習, 第26回画像センシングシンポジウム（SSII), June 2020.  Official location  
• Kengo Machida, Nakamasa Inoue, Koichi Shinoda. KL統計量に基づくニューラルネットワークのプルーニング, 第22回 画像の認識・理解シンポジウム, 第22回 画像の認識・理解シンポジウム, July 2019.
• Kota Iida, Yoichi Yatsu, Ryosuke Itoh, 村田 勝寛, Yutaro Tachibana, Nobuyuki Kawai, Yan Long, Koichi Shinoda, Nakamasa Inoue, Takashi Shimokawabe. 深層学習を用いた MITSuME 望遠鏡画像からの突発天体検知, 日本天文学会2019年春季年会, 日本天文学会2019年春季年会, Mar. 2019.
• Thao Minh Le, Nakamasa Inoue, Koichi Shinoda. Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network, Technical Committee on Pattern Recognition and Media Understanding (PRMU), IEICE Technical Report, The Institute of Electronics, Information and Communication Engineers, vol. 118, no. 362, pp. 61-64, Dec. 2018.  Official location  
• Kota Iida, Yoichi Yatsu, Ryosuke Itoh, 村田勝寛, Yutaro Tachibana, Nobuyuki Kawai, Yan Long, Koichi Shinoda, Nakamasa Inoue, Takashi Shimokawabe. 深層学習を用いたMITSuME望遠鏡画像からの突発天体検知, 第9回光赤外線天文学大学間連携ワークショップ, 第9回光赤外線天文学大学間連携ワークショップ, Dec. 2018.
• Tifani Warnita, Nakamasa Inoue, Koichi Shinoda. Alzheimer's Disease Prediction Using Audio Gated Convolutional Neural Network, 2018 Autumn Meeting of the Acoustical Society of Japan, ASJ 2018 Autumn Meeting, Acoustical Society of Japan, pp. 1223-1224, Aug. 2018.  Official location  
• Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda. Generative Adversarial Network Based i-Vector Transformation for Short Utterance Speaker Verification, 2018 Autumn Meeting of the Acoustical Society of Japan, ASJ 2018 Autumn Meeting, Acoustical Society of Japan, pp. 1345-1346, Aug. 2018.  Official location  
• Nakamasa Inoue. 画像・映像認識とゼロショット学習, SOFT九州支部夏季ワークショップ, Aug. 2018.
• Yan Long, Nakamasa Inoue, Koichi Shinoda, Yoichi Yatsu, Ryosuke Itoh, Nobuyuki Kawai. Astronomical Image Subtraction for Transient Detection Using CNN, The 21st Meeting on Image Recognition and Understanding (MIRU), 第21回 画像の認識・理解シンポジウム論文講演集, 電子情報通信学会パターン認識・メディア理解(PRMU)研究専門委員会, Aug. 2018.  Official location  
• Satoshi Kanai, Nakamasa Inoue, 李時旭, Koichi Shinoda. 単語分散表現を用いた動画からのイベント検出, The 21st Meeting on Image Recognition and Understanding (MIRU) 2018, 第21回 画像の認識・理解シンポジウム論文講演集, 電子情報通信学会パターン認識・メディア理解(PRMU)研究専門委員会, Aug. 2018.  Official location  
• Nakamasa Inoue. 画像・映像認識, 人工知能学会全国大会, June 2018.
• Mengxi Lin, Nakamasa Inoue, Koichi Shinoda. Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model, Pattern Recognition and Media Understanding (PRMU) 2017-12, Technical Reports of IEICE PRMU, 電子情報通信学会, vol. 117, no. 362, pp. 1-6, Dec. 2017.  Official location  Official location  
• Yuki Yasui, Koji Iwano, Nakamasa Inoue, Koichi Shinoda. 口唇深度画像を利用したディープオートエンコーダに基づくマルチモーダル音声認識, 日本音響学会, 日本音響学会2017年秋季研究発表会講演論文集, pp. 117-118, Sept. 2017.
• Conggui Liu, Nakamasa Inoue, Koichi Shinoda. Joint training of speaker separation and speech recognit ion based on deep learning, ASJ 2017 Autumn Meeting, ASJ 2017 Autumn Meeting, pp. 63-64, Sept. 2017.
• Yuki Yasui, Koji Iwano, Nakamasa Inoue, Koichi Shinoda. 口唇の深度画像を用いたディープオートエンコーダによるマルチモーダル音声認識, 音声研究会・音声言語情報処理研究会 併催研究会, IPSJ SIG Technical Report SLP, 情報処理学会, July 2017.
• Yoichi Yatsu, Kazuki Shiraishi, Taketoshi Yoshii, Nobuyuki Kawai, 佐久間淳一, Nakamasa Inoue, Koichi Shinoda, Takashi Shimokawabe. Deep Learningを応用した 全天画像からの気象識別, 天文学におけるデータ科学的方法, May 2017.
• Fumito Nishi, Nakamasa Inoue, Koji Iwano, Koichi Shinoda. 話者認識と顔画像認識を用いた映像におけるマルチモーダル人物同定, Acoustical Society of Japan 2017 Spring Meeting, Proc.of ASJ 2017 Spring Meeting, 日本音響学会, pp. 129-130, Mar. 2017.
• Junichi Sakuma, Koichi Shinoda, Nakamasa Inoue, Yoichi Yatsu, Taketoshi Yoshii, Nobuyuki Kawai, Takashi Shimokawabe. 畳み込みニューラルネットワークを用いた 夜間全天画像からの雲領域検出, The 79th National Convention of IPSJ, 情報処理学会第79回全国大会論文集, pp. 283-284, Mar. 2017.
• Conggui Liu, Nakamasa Inoue, Koichi Shinoda. Speaker Separation in Multi-Channel Environment Using Deep Learning, The 115th National Convention of IPSJ, Technical Reports of IPSJ SLP, Information Processing Society of Japan, vol. 115, no. 11, pp. 1-6, Feb. 2017.  Official location  
• Nakamasa Inoue. 映像認識のためのディープラーニング, Prometech Simulation Conference, Prometech Simulation Conference, Sept. 2016.
• Yoichi Yatsu, Taketoshi Yoshii, Shouhei Harita, Yutaro Muraki, Nobuyuki Kawai, Junichi Sakuma, HyunJin Jung, Nakamasa Inoue, Koichi Shinoda, Takashi Shimokawabe, Kei Ohta. 突発天体観測用天文台全球リレーのための気象モニターの開発, 天文学会, 天文学会予稿集, p. 210, Sept. 2016.
• Tran Hai Dang, Nakamasa Inoue, Koichi Shinoda. Concept Elimination for Zero-Shot Event Detection, The 22nd Symposium on Sensing via Image Information (SSII), 第22回画像センシングシンポジウム (SSII) 講演論文集, IS2-19, June 2016.
• Koichi Shinoda, Nakamasa Inoue. (チュートリアル) 音声・画像・映像処理における深層学習, The 22th Annual Meeting of the Association for Natural Language Processing 2016, Proc. of the 22th Annual Meeting of NLP2016, the Association for Natural Language Processing, Mar. 2016.  Official location  
• Nakamasa Inoue, Koichi Shinoda. 単語ベクトルによる語彙拡張を用いた映像のセマンティックインデクシング, パターン認識・メディア理解(PRMU)研究会, 電子情報通信学会技術研究報告 PRMU, vol. 115, no. 388, pp. 75-80, Dec. 2015.
• Fumito Nishi, Nakamasa Inoue, Koichi Shinoda. 音声・動画像の因子分析を用いる話者ダイアライゼーション, 2015 ASJ Autumn Meeting, Proc. of Acoustical Society of Japan September 2015, pp. 175-176, Sept. 2015.
• Fumito Nishi, Nakamasa Inoue, Koichi Shinoda. Multimodal i-vectors for speaker diarization, 平成27年度 第107回情報処理学会音声言語情報処理研究会, 情報処理学会研究報告 SLP, vol. 107, no. 4, pp. 1-6, July 2015.
• Shun Fukuda, Nakamasa Inoue, Koichi Shinoda. CNNから抽出した複数特徴量の統合に基づいた映像の意味インデクシング, The 21th Symposium of Sensing via Image Information, 第21回画像センシングシンポジウム (SSII) 講演論文集, IS2-16, June 2015.
• Mengxi Lin, Nakamasa Inoue, Koichi Shinoda. Human Action Retrieval Based on Temporal Matching, Technical Reports of IEICE PRMU, Technical Reports of IEICE PRMU, IEICE Technical Committee, vol. 114, no. 454, pp. 125-130, Feb. 2015.  Official location  
• Tommi Kerola, Nakamasa Inoue, Koichi Shinoda. Spectral Graph Wavelets for Skeleton-based 3D Action Recognition, Technical Reports of IEICE PRMU, Technical Reports of IEICE PRMU, The Institute of Electronics, Information and Communication Engineers (IEICE), vol. 114, no. 454, pp. 131-136, Feb. 2015.  Official location  
• Nakamasa Inoue, Koichi Shinoda. Neighbor-To-Neighbor Search for Fast Coding of Feature Vectors, 第17回画像の認識・理解シンポジウム (MIRU), July 2014.  Official location  
• Nakamasa Inoue, Kotaro Mori, Zhuolin Liang, Koichi Shinoda. TRECVID 映像意味インデクシングのための音声・音響技術, ASJ 2014 Spring Meeting, Proc. ASJ 2014 Spring Meeting, pp. 129-130, Mar. 2014.
• Kotaro Mori, Nakamasa Inoue, Koichi Shinoda. Deep Learningを用いた映像のセマンティックインデクシングのための特徴次元削減, 2014 IEICE General Conference, Proc. 2014 IEICE General Conference, pp. 85, Mar. 2014.
• Nakamasa Inoue, Koichi Shinoda. 高速な画像分類のためのNeighbor-to-Neighbor探索, Pattern Recognition and Media Understanding (PRMU), Technical Report IEICE PRMU, vol. 113, no. 493, pp. 97-102, Mar. 2014.
• Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda. Velocity Pyramid for Event Detection, Pattern Recognition and Media Understanding (PRMU), Technical Reports of IEICE PRMU, vol. 113, no. 493, pp. 13-18, Mar. 2014.
• Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda. カメラの動き補正に基づく時空間特徴量とGMM supervectorを用いた映像からのイベント検出, PRMU, 電子情報通信学会技術研究報告, vol. 112, no. 441, pp. 185-190, Feb. 2013.
• Nakamasa Inoue, Koichi Shinoda. GMM Supervectorとビデオクリップスコアを用いた映像のセマンティックインデクシング, PRMU, 電子情報通信学会技術研究報告, vol. 112, no. 441, pp. 173-178, Feb. 2013.
• Nakamasa Inoue, Koichi Shinoda. 映像のセマンティックインデクシングのためのq-混合ガウス分布, 電子情報通信学会 研究会発表, TECHNICAL REPORT OF IEICE., Vol. 112, No. 197, pp. 31-36, Sept. 2012.
• Nakamasa Inoue, Koichi Shinoda. Video Semantic Indexing Using GMM-Supervectors, Greater Tokyo Area Multimedia/Vision Workshop, Greater Tokyo Area Multimedia/Vision Workshop, Aug. 2012.  Official location  
• Nakamasa Inoue, Koichi Shinoda. Fast Semantic Video Search System Using GMM-supervectors, The 18th Symposium on Sensing via Image Information, The 18th Symposium on sensing via Image Information digest, DS2-08, June 2012.
• Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato. Event Detection from Video Using GMM-Supervectors and SVMs, 電子情報通信学会技術研究報告（SP/PRMU), IEICE Technical Report, No. PRMU2011-230, pp. 195-200, Feb. 2012.
• Nakamasa Inoue, Koichi Shinoda. ［特別講演］映像の高性能なセマンティックインデクシングを目指して, 電子情報通信学会 パターン認識・メディア理解研究会 (PRMU), IEICE Technical Report, No. PRMU2011-140, pp. 89-94, Dec. 2011.
• Nakamasa Inoue, Koichi Shinoda. 木構造GMMを用いたセマンティックインデクシングの高速化, パターン認識・メディア理解研究会, 電子情報通信学会 技術研究報告 PRMU, vol. 111, no. 77, pp. 105-110, June 2011.
• Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda. マルチモーダル・マルチフレームな手法を用いたTRECVIDセマンティックインデクシング, 電子情報通信学会 技術研究報告 PRMU, vol. 110, no. 414, pp. 25?30, Feb. 2011.
• Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda, SADAOKI FURUI. SIFT混合ガウス分布を用いた一般物体認識のためのマルチカーネル学習, 電子情報通信学会 技術研究報告, 社団法人 電子情報通信学会, Vol. PRMU2010-58, pp. 7-12, Sept. 2010.
• Tatsuhiko Saito, Nakamasa Inoue, Koichi Shinoda, SADAOKI FURUI. Event Extraction from Video Data Harnessing Acoustic Features, 日本音響学会2010年春季研究発表会, 日本音響学会2010年春季講演論文集, 日本音響学会, pp. 201-202, Mar. 2010.
• Nakamasa Inoue, 斉藤 辰彦, Koichi Shinoda, SADAOKI FURUI. SIFT混合ガウス分布と音響特徴を用いた映像からの高次特徴検出, 電子情報通信学会 技術研究報告, 社団法人 電子情報通信学会, Vol. PRMU2009-106, pp. 97-102, Nov. 2009.

Other Publication

• Koichi Shinoda, Nakamasa Inoue. Reusing Speech Techniques for Video Semantic Indexing, IEEE signal processing magazine, Vol. 30, No. 2, pp. 118-122, Mar. 2013.
• Nakamasa Inoue, Koichi Shinoda. フレッシュアイズ 映像研究現場紹介 東京工業大学 篠田研究室, 映像情報メディア学会誌, Vol. 63, No. 8, pp. 1116-1119, 2009.

Degree

• Efficient and Effective Semantic Indexing for Large-Scale Video Resources,  Exam Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2014/03/26,   
• Efficient and Effective Semantic Indexing for Large-Scale Video Resources,  Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2014/03/26,   
• Efficient and Effective Semantic Indexing for Large-Scale Video Resources,  Thesis,  Doctor (Engineering),  Tokyo Institute of Technology,  2014/03/26,   

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