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過去のお知らせ

  • Generating captions of imagined content from human brain activities applying an image captioning model

    Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama

    2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022)

  • Knowledge-guided sequential recommendation with reinforcement learning using empirical distribution function

    Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

    2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022)

  • Self-supervised transfer learning for COVID-19 detection from chest X-ray images

    Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

    36th AAAI Conference on Artificial Intelligence (AAAI-22) Workshops

  • Explainable artist recommendation based on reinforcement knowledge graph exploration

    Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

    2022 International Workshop on Advanced Image Technology (IWAIT)

  • A Gender Identification Using Shoeprint Images

    The International Workshop On Advanced Image Technology, pp. 153-158, 2009.
    Satoshi Asamizu, Miki Haseyama

  • Soccer Video Segmentation Based on Team Tactics Estimation Method

    International Workshop on Advanced Image Technology 2013 (IWAIT 2013), pp. 692 – 695
    Shuhei Ohnuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama

  • A Kalman Filter-based Approach for Adaptive Restoration of In-Vehicle Camera Foggy Images

    2008 IEEE International Conference on Image Processing, pp. 3160-3163, 2008.
    Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama

  • Accurate Graph-Based Scene Segmentation Using Object Matching and Audio Feature

    The 13th IEEE International Symposium on Consumer Electronics, 2009.
    Makoto Yamamoto, Miki Haseyama

  • Ultra Low Bit-Rate Image Coding Algorithm Based on Fractal Image Coding

    3rd International Symposium on Image and Signal Processing and Analysis (ISPA 2003), pp. 1013-1017, 2003.
    Megumi Takezawa, Miki Haseyama, and Hideo Kitajima

  • Image Retrieval for Identification of Insects Based on Saliency Map and Distance Metric Learning

    2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp. 50-51
    Susumu Genma, Takahiro Ogawa, Miki Haseyama

  • PCA-based Resolution Enhancement Method of Still Images Using Different Levels of Pyramid Structure

    International Conference on Kansei Engineering and Emotion Research 2007 (KEER2007), vol. I-16, 2007.

    Takahiro Ogawa, Miki Haseyama

  • Missing Intensity Restoration via Perceptually Optimized Subspace Projection Based on Entropy Component Analysis

    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 175-179 (2014)
    Takahiro Ogawa and Miki Haseyama

  • Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement

    Yui Matsumoto, Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    2019 IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW)

  • 2-D functional AR model for image identification

    2003 IEEE International Conference on Multimedia and Expo (ICME 2003), vol. 2, pp. 377-380, 2003.
    Miki Haseyama and Isao Kondo

  • KCFA-BASED MISSING AREA RESTORATION INCLUDING NEW PRIORITY ESTIMATION

    2013 IEEE International Conference on Image Processing(ICIP 2013), pp. 704-708 (2013)
    Takahiro Ogawa and Miki Haseyama

  • Important scene detection of baseball videos via time-lag aware deep multiset canonical correlation maximization

    Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    2020 IEEE International Conference on Image Processing (ICIP 2020)

  • Favorite Image Estimation: EEG-based Extraction of Visual Features Reflecting Individual Preference

    2017 International Workshop on Advanced Image Technology (IWAIT), pp. 2A-3
    Akira Toyoda, Takahiro Ogawa, Miki Haseyama

  • The extraction of individual music preference based on deep time-series CCA

    Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

    2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)

  • Topic Model-Based Quantitative Criteria for Associative Video Retrieval Results Using Grouping Principles

    The 27th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2012), P-M2-14
    Yutaka Yamanouchi, Takahiro Ogawa, Miki Haseyama

  • Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features

    IEEE Global Conference on Consumer Electronics (GCCE2018)
    Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama