Masayasu Atsumi(渥美雅保)

I graduated Department of Social Engineering, Tokyo Institute of Technology, and received Master's and Doctor's degree of Engineering both from Department of System Sciences, Tokyo Institute of Technology. My current research interests are brain-like computational cognition and intelligence, especially visual and visuomotor intelligence and interactive speech intelligence, synergistic cognition, computational neuro-genesis, and their application to biomimetic cognitive and communication robotics and/or designing smart spaces for ambient intelligence.
Recent Papers(first author, selected)
  1. Atsumi, M.: Probabilistic Object Learning through Attention-based Organized Perception, Proceedings of the Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2010), CD-ROM, pp.304-309, 2010.
  2. Atsumi, M.: Probabilistic Learning of Visual Object Composition from Attended Segments, Advances in Visual Computing (6th International Symposium, ISVC 2010, Proceedings, Part II), (Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud, R.; Hussain, M.; Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L. (Eds.)), Lecture Notes in Computer Science, Vol. 6454 , pp.696-705, Springer-Verlag Berlin Heidelberg, 2010.
  3. Atsumi, M.: Learning Visual Object Categories and Their Composition Based on a Probabilistic Latent Variable Model, Neural Information Processing: Theory and Algorithms (17th International Conference, ICONIP 2010, Proceedings, Part I), (Wong, Kevin K.W.; Mendis, B. Sumudu U.; Bouzerdoum, Abdesselam (Eds.)), Lecture Notes in Computer Science, Vol.6443, pp.247-254, Springer-Verlag Berlin Heidelberg, 2010.
  4. Atsumi, M.: A Probabilistic Model of Visual Attention and Perceptual Organization for Constructive Object Recognition, Advances in Visual Computing(5th International Symposium, ISVC2009 Proceedings, Part II), (G. Bebis et al. (Eds.)), Lecture Notes in Computer Science, Vol.5876, pp. 778-787, Springer-Verlag Berlin Heidelberg, 2009.
  5. Atsumi, M.: Attention-based Segmentation on an Image Pyramid Sequence, Advanced Concepts for Intelligent Vision Systems(10th International Conference, ACIVS2008 Proceedings), (J.Blanc-Talon; S.Bourennane; W.Philips; D.Popescu; P.Scheunders (Eds.)), Lecture Notes in Computer Science, Vol.5259, pp.625-636, Springer-Verlag Berlin Heidelberg, 2008.
  6. Atsumi, M.: A Dynamical Model of Attention and Segmentation on an Image Pyramid Sequence, Proceedings of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems(CD-ROM), pp.1255-1260, 2008.
  7. Atsumi, M.: Stochastic Selective Attention and its Shift on the Visual Attention Pyramid, Proceedings of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision, pp.463-468, 2008.
  8. Atsumi, M.: Stochastic Attentional Selection and Shift on the Visual Attention Pyramid, Proceedings of the 5th International Conference on Computer Vision Systems, CD-ROM(ISBN 978-3-00-020933-8), 10p., 2007.
  9. Atsumi, M.: Saliency-driven Scene Learning and Recognition based on Competitively Growing Neural Network using Temporal Coding, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9, No.3, pp.235-243, 2005.
  10. Atsumi, M.: Scene Memory of Mobile Robot based on Competitively Growing Neural Network using Temporal Coding, Proceedings of the Second International Conference on Autonomous Robots and Agents (ICARA'2004), pp.82-87, 2004.
  11. Atsumi, M.: Scene Memory on Competitively Growing Neural Network using Temporal Coding: Self-organized Learning and Glance Recognizability, Neural Information Processing(11th International Conference, ICONIP 2004, Proceedings), (Pal,N.R.; Kasabov,N.; Mudi,R.K.; Pal,S.; Parui,S.K.(Eds.)), Lecture Notes in Computer Science, Vol. 3316, pp.393-398, Springer-Verlag, Heidelberg, 2004.
  12. Atsumi, M.: Saliency-based Scene Learning and Recognition based on Competitively Growing Neural Network using Temporal Coding, Proceedings of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, CD-ROM, TUP-6-3, 6p., 2004.
  13. Atsumi, M.: Scene Learning and Glance Recognizability based on Competitively Growing Spiking Neural Network, Proceedings 2004 IEEE International Joint Conference on Neural Networks (IJCNN'2004), pp.2859-2864, 2004.
  14. Atsumi, M.: Saliency-based Scene Recognition based on Growing Competitive Neural Network, SMC 2003 Conference Proceedings, 2003 IEEE International Conference on Systems, Man & Cybernetics, pp.2863-2870, 2003.
  15. Atsumi, M.: Growing Competitive Spiking Neural Network for Saliency-based Scene Recognition, Proceedings of Workshop on Self-Organizing Maps (WSOM'03) - Intelligent Systems and Innovational Computing -, pp.299-304, 2003.
  16. Atsumi, M.: Sequence Learning and Planning on Associative Spiking Neural Network, Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN'02), pp.1649-1654, 2002.
    (IJCNN'02 was held as part of the 2002 World Congress on Computational Intelligence (WCCI'2002)).
  17. Atsumi, M.: Sequence Memories and their Integration for Planning: A Spiking Neural Network Model, ICONIP'2001(The 8th International Conference on Neural Information Processing), Proceedings, pp.891-896, 2001.
  18. Atsumi, M.: Plan Recognition based on Integration of Forward and Backward Sequence Association in Spiking Neural Network, Proceedings of the Third International Conference on Cognitive Science(ICCS'2001), pp.668-672, 2001.
  19. Atsumi, M.: Artificial Neural Development for Pulsed Neural Network Design - Generating Place Recognition Circuits of Animats, Proceedings of the Seventh International Conference on Artificial Life, pp.300-309, 2000.
  20. Atsumi, M.: Artificial Neural Development for Pulsed Neural Network Design: A Simulation Experiment on Animat's Cognitive Map Genesis, Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, pp.188-198, 2000.
Awards
  1. Best Paper Award in Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2010) to Masayasu Atsumi for the paper entitled "Probabilistic Object Learning through Attention-based Organized Perception", Dec. 10, 2010.
Recent Reports on Research Project
  1. 平成18年度〜平成20年度科学研究費補助金(基盤研究(C)) 研究成果報告書「視覚的注意への概念・空間関係導入に基づく不変・多態認識のための確率競合連想モデル」, 研究代表者:渥美雅保, 2009.
    Atsumi, M: Probabilistic Model of Visual Attention and Perceptual Organization for Generic Object Recognition, Report of Research Project, 2006-2008 Grant-in-Aid for Scientific Research (C), 2009.
  2. 平成15年度〜平成17年度科学研究費補助金(基盤研究(C)(2))研究成果報告書 「協同注意制御に基づく視空間エピソード記憶とそのウェアラブルナビゲーションへの適用」, 研究代表者:渥美雅保, 2006.
    Atsumi, M: Synergic Attention-based Visuospatial Episodic Memory and its Application to Wearable Navigation, Report of Research Project, 2003-2005 Grant-in-Aid for Scientific Research (C)(2), 2006.
  3. 平成13年度〜平成14年度科学研究費補助金(基盤研究(C)(2))研究成果報告書 「時間コーディングに基づく視空間エピソード記憶とそのロボットナビゲーションへの適用」, 研究代表者:渥美雅保, 2003.
    Atsumi, M: Visuospatial Episodic Memory based on Spiking Neural Networks using Temporal Coding and its Application to Robot Navigation, Report of Research Project, 2001-2002 Grant-in-Aid for Scientific Research (C)(2), 2003.

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Masayasu Atsumi (渥美雅保)