Haruya Kyutoku

According to our database, Haruya Kyutoku authored at least 11 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Domain Adaptation from Visible-Light to FIR with Reliable Pseudo Labels.

Juki Tanimoto, Haruya Kyutoku, Keisuke Doman, Yoshito Mekada

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network.

Jialiang Shi, Takahiro Komamizu, Keisuke Doman, Haruya Kyutoku, Ichiro Ide

Proceedings of the ACM Multimedia Asia 2023, 2023

2021

AVM Image Quality Enhancement by Synthetic Image Learning for Supervised Deblurring.

Kazutoshi Akita, Masayoshi Hayama, Haruya Kyutoku, Norimichi Ukita

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Automatic Data Collection using In-vehicle Camera Images for Training Machine Learning-based Local Image Feature Matchers.

Haruya Kyutoku, Tokihiko Akita, Seiichi Mita

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Error mitigation for untrained data utilizing generative model in vehicle shape estimation with millimeter-wave radar by deep neural network.

Tokihiko Akita, Haruya Kyutoku, Ukyo Tanikawa, Yusuke Akamine

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Ego-localization Robust for Illumination Condition Changes based on Far-infrared Camera and Millimeter-wave Radar Fusion.

Haruya Kyutoku, Tokihiko Akita, Seiichi Mita

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Hard Negative Mining from in-Vehicle Camera Images based on Multiple Observations of Background Patterns.

Masashi Hontani, Haruya Kyutoku, David Wong, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

Proceedings of the 14th International Joint Conference on Computer Vision, 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 Pattern Recognition - 5th Asian Conference, 2019

2018

Estimating the Scene-wise Reliability of LiDAR Pedestrian Detectors.

Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Kazuki Kato, Hiroshi Murase

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

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 the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images.

Haruya Kyutoku, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011