Contents Science Lab

Nagoya University Graduate School of Informatics
Back to member list
Avatar image

Dr. Haruya Kyutoku

Invited Professor （Aichi University of Technology）

E-Mail: kyutoku ( a t ) toyota-ti.ac.jp

Personal website: https://ttiweb.toyota-ti.ac.jp/public/user.php?s=1&id=5084&t=1

Recent publications

    Analysis and prediction of attractive fonts on title-overlaid food images
    Nanami Takagi, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Ichiro Ide
    Proceedings of the 19th Int. Conf. on Machine Vision Applications (MVA2025), July 2025.
    Analysis and prediction of attractive fonts on title-overlaid food images
    Nanami Takagi, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Ichiro Ide
    Proceedings of the 19th Int. Conf. on Machine Vision Applications (MVA2025), July 2025.
    Cross-modal recipe retrieval based on unified text encoder with fine-grained contrastive learning
    Bolin Zhang, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Ichiro Ide, Jiangbo Qian
    Knowledge-Based Systems, 305(112641), pp.1-15, December 2024.
    Cross-modal recipe retrieval based on unified text encoder with fine-grained contrastive learning
    Bolin Zhang, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Ichiro Ide, Jiangbo Qian
    Knowledge-Based Systems, 305(112641), pp.1-15, December 2024.
    Cross-modal recipe retrieval based on unified text encoder with fine-grained contrastive learning
    Bolin Zhang, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Ichiro Ide, Jiangbo Qian
    Knowledge-Based Systems, 305(112641), pp.1-15, December 2024.
    RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network
    Jialiang Shi, Takahiro Komamizu, Keisuke Doman, Haruya Kyutoku, Ichiro Ide
    Proceedings of the 5th ACM International Conference on Multimedia in Asia, p.1–7, January 2024.
    RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network
    Jialiang Shi, Takahiro Komamizu, Keisuke Doman, Haruya Kyutoku, Ichiro Ide
    Proceedings of the 5th ACM International Conference on Multimedia in Asia, p.1–7, January 2024.
    A Study on Intra-modal Constraint Loss toward Cross-modal Recipe Retrieval
    Jiahang LU, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide
    Unknown Journal, A-3-1, December 2022.
    A Study on Intra-modal Constraint Loss toward Cross-modal Recipe Retrieval
    Jiahang LU, Haruya Kyutoku, Keisuke Doman, Takahiro Komamizu, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide
    Unknown Journal, A-3-1, December 2022.
    Vehicle ego-localization with a monocular camera using epipolar geometry constraints
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
    Vehicles, Drivers, and Safety, Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, and John H.L. Hansen eds., pp.251-261, May 2020.
    Vehicle ego-localization with a monocular camera using epipolar geometry constraints
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
    Vehicles, Drivers, and Safety, Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, and John H.L. Hansen eds., pp.251-261, May 2020.
    Scene-Adaptive Driving Area Prediction based on Automatic Label Acquisition from Driving Information
    Takuya Migishima, Haruya Kyutoku, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase
    Proceedings of the 5th IAPR Asian Conference on Pattern Recognition (ACPR2019), 97, November 2019.
    Scene-Adaptive Driving Area Prediction based on Automatic Label Acquisition from Driving Information
    Takuya Migishima, Haruya Kyutoku, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase
    Proceedings of the 5th IAPR Asian Conference on Pattern Recognition (ACPR2019), 97, November 2019.
    Hard Negative Mining from in-Vehicle Camera Images based on Multiple Observations of Background Patterns
    Masashi Hontani, Haruya Kyutoku, David Robert Wong, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase
    Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2019, Vol.5, pp.435-442, February 2019.
    Hard Negative Mining from in-Vehicle Camera Images based on Multiple Observations of Background Patterns
    Masashi Hontani, Haruya Kyutoku, David Robert Wong, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase
    Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2019, Vol.5, pp.435-442, February 2019.
    Estimating the Scene-wise Reliability of LiDAR Pedestrian Detectors
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Kazuki Kato, Hiroshi Murase
    Proceedings of 2018 IEEE 21th International Conference on Intelligent Transportation Systems (ITSC2018), pp.3511-3516, November 2018.
    Estimating the Scene-wise Reliability of LiDAR Pedestrian Detectors
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Kazuki Kato, Hiroshi Murase
    Proceedings of 2018 IEEE 21th International Conference on Intelligent Transportation Systems (ITSC2018), pp.3511-3516, November 2018.
    Epipolar geometry-based ego-localization using an in-vehicle monocular camera
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
    Workshop on Digital Signal Processing for In-Vehicle Systems, P-11, October 2018.
    Epipolar geometry-based ego-localization using an in-vehicle monocular camera
    Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
    Workshop on Digital Signal Processing for In-Vehicle Systems, P-11, October 2018.
    General Forward Obstacle Detection using Current and Past In-Vehicle Camera Images
    Haruya Kyutoku
    Elemental Technologies for Automated Driving with Realistic Onboard Sensors: from Software to Hardware in the Real World and the Cyber World in conjunction with IEEE Intelligent Vehicles Symposium 2018, June 2018.
    General Forward Obstacle Detection using Current and Past In-Vehicle Camera Images
    Haruya Kyutoku
    Elemental Technologies for Automated Driving with Realistic Onboard Sensors: from Software to Hardware in the Real World and the Cyber World in conjunction with IEEE Intelligent Vehicles Symposium 2018, June 2018.
    Subtraction-Based Forward Obstacle Detection Using Illumination Insensitive Feature for Driving-Support
    Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase
    Proceedings of Computer Vision in Vehicle Technology: From Earth to Mars (CVVT2012), Part II, LNCS 7584, pp.515-525, October 2012.
    Subtraction-Based Forward Obstacle Detection Using Illumination Insensitive Feature for Driving-Support
    Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase
    Proceedings of Computer Vision in Vehicle Technology: From Earth to Mars (CVVT2012), Part II, LNCS 7584, pp.515-525, October 2012.
    On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images
    Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase
    Proceedings of IAPR Conference on Machine Vision Applications (MVA) 2011, pp.357-360, June 2011.
    On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images
    Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase
    Proceedings of IAPR Conference on Machine Vision Applications (MVA) 2011, pp.357-360, June 2011.

Last updated: 2025-09-26 02:42:58.361025362 +0000 UTC m=+7.338541058.