[English | Japanese]

¼ì “O/Tetsu Matsukawa

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Email: matsukawa (at) inf.kyushu-u.ac.jp
Link: [DBLP][GoogleScholar][‹ãB‘åŠwŒ¤‹†ŽÒî•ñ]

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  • Publication

    [Journal Article]

    1. Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
      Hierarchical Gaussian Descriptors with Application to Person Re-Identification

      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.42, no.9, pp.2179-2194, 2020 [pdf][appendix][matlab code]

    2. Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
      Detecting Outliers with One-Class Selective Transfer Machine

      Knowledge and Information Systems (KAIS), vol.62, pp.1781-1818, 2020

    3. Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
      Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks

      Journal of Intelligent Information Systems
      (JIIS), vol.52, no.2, pp.367-392, 2019

    4. Tetsu Matsukawa, Takio Kurita
      Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images

      Pattern Recognition
      (PR), vol.45, no.2, pp.707-719, 2012 [pdf]

    5. Tetsu Matsukawa, Takio Kurita
      Extraction of Combined Features from Global/Local Statistics of Visual Words using Relevant Operations

      IEICE Transactions on Information and Systems
      (IEICE Transations D), vol.E93-D, no.10, pp.2870-2874, 2010

    [Proceeding]

    1. Tetsu Matsukawa, Einoshin Suzuki
      Convolutional Feature Transfer via Camera-specific Discrimative Pooling for Person Re-Identification

      in 25th International Conference on Pattern Recognition (ICPR2020), pp.8408-8415, 2021 [pdf]

    2. Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa
      From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking

      in 25th International Conference on Pattern Recognition (ICPR2020), pp.2506-2513, 2021

    3. Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki
      Experimental Evaluation of GAN-Based One-Classs Anomaly Detection on Office Monitoring

      in 25th International Symposium on Intelligent Systems (ISMIS2020), pp.214-224, 2020

    4. Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki
      Context-Aware Latent Dirichlet Allocation for Topic Segmentation

      in the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2020), pp.475-486, 2020

    5. Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki
      Detecting Anomalous Regions from an Image Based on Deep Captioning

      in 15th International Conference on Vision Theory and Application (VISAPP2020), pp.326-335, 2020

    6. Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
      Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category

      in IEEE International Conference on Tools with Artificial Intelligence (ICTAI2019), pp.915-922, 2019

    7. Tetsu Matsukawa, Einoshin Suzuki
      Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification

      in 16th IAPR Conference on Machine Vision Applications (MVA2019), pp.1-5, 2019 [pdf][matlab code]

    8. Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
      Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification

      in 24th International Conference on Pattern Recognition (ICPR2018), pp.860-867, 2018

    9. Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki
      Multimodal Deep Neural Network with Image Sequence Features for Video Captioning

      in IEEE International Joint Conference on Neural Networks (IJCNN2018), pp.3296-3302, 2018

    10. Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
      One-Class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection

      in 13th International Conference on Vision Theory and Application (VISAPP2018), pp.274-283, 2018

    11. Tetsu Matsukawa, Einoshin Suzuki
      Person Re-Identification Using CNN Features Learned from Combination of Attributes

      in 23rd International Conference on Pattern Recognition (ICPR2016), pp.2429-2434, 2016 [pdf][extracted features]

    12. Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
      Hierarchical Gaussian Descriptor for Person Re-Identification

      in IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), pp.1363-1372, 2016 [pdf][supp][matlab code]

    13. Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto
      Toward a Platform for Collecting, Mining, and Utilizing Behavior Data for Detecting Students with Depression Risks

      in 8th annual international conference on PErvasive Technologies Related to Assistive Environments (PETRA2015), pp.26:1-26:8, 2015

    14. Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato
      Person Re-Identification via Discriminative Accumulation of Local Features

      in 22nd International Conference on Pattern Recognition (ICPR2014), pp.3975-3980, 2014 [pdf]

    15. Kimshing Goh, Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato
      Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model

      in 13th IAPR Conference on Machine Vision Applications (MVA2013), pp.153-156, 2013 [pdf]

    16. Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato
      Illumination Normalization of Face Images with Cast Shadows

      in 21st International Conference on Pattern Recognition (ICPR2012), pp.1848-1851, 2012 [pdf][matlab code]

    17. Tetsu Matsukawa, Takio Kurita
      Discriminant Appearance Weighting for Action Recognition

      in 1st Asian Conference on Pattern Recognition (ACPR2011), pp.7-10, 2011 [pdf][ext.]

    18. Tetsu Matsukawa, Takio Kurita
      Action recognition using three-way cross correlations feature of local motion attributes

      in 20th International Conference on Pattern Recognition (ICPR2010), pp.1731-1734, 2010 [pdf][c++ code]

    19. Keiji Shimada, Tetsu Matsukawa, Yoshihiro Noguchi, Takio Kurita
      Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machine

      in 2nd International Workshop on Video Event Categorization, Tagging and Retrieval (VECTaR2010), pp.277-286, 2010

    20. Tetsu Matsukawa, Takio Kurita
      Scene classification using spatial relationship of local posterior probabilities

      in 5th International Conference on Vision Theory and Application (VISAPP2010), volume 2, pp.325-332, 2010 [pdf]

    21. Tetsu Matsukawa, Takio Kurita
      Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations

      in 16th Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.492-497, 2010

    22. Yoshito Murayama, Tetsu Matsukawa, Takio Kurita
      Finding a Sub-optimal Combination of the Binary Classifiers for Multi-class Classification Problems

      in 16th Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.336-341, 2010

    23. Tetsu Matsukawa, Takio Kurita
      Image Classification Using Probability Higher-order Local Auto-Correlations

      in 9th Asian Conference on Computer Vision (ACCV2009), Part III LNCS5996, pp.395-405, 2009 [pdf]

    24. Tetsu Matsukawa, Takio Kurita
      Classification of Spectators' State in Video Sequences by Voting Facial Expressions and Face Directions

      in 11th IAPR Conference on Machine Vision Applications (MVA2009), pp.426-430, 2009 [pdf]

    25. Tetsu Matsukawa, Koji Suzuki, Takio Kurita
      Preliminary Local Features Selection by Support Vector Machine for Bag-of-Features

      in 15th Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV2009), pp.129-134, 2009

    ÅIXV“ú: 2021”N1ŒŽ15“ú