Kensho Hara

According to our database, Kensho Hara authored at least 24 papers between 2013 and 2023.

Collaborative distances:

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

2023

Natural Image Decay With a Decay Effects Generator.

Guoqing Hao, Satoshi Iizuka, Kensho Hara, Hirokatsu Kataoka, Kazuhiro Fukui

IEEE Access, 2023

VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels.

Yue Qiu, Yoshiki Nagasaki, Kensho Hara, Hirokatsu Kataoka, Ryota Suzuki, Kenji Iwata, Yutaka Satoh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diffusion-based Holistic Texture Rectification and Synthesis.

Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information.

Shota Nishiyama, Takuma Saito, Ryo Nakamura, Go Ohtani, Hirokatsu Kataoka, Kensho Hara

IROS, 2023

Estimation of Human Condition at Disaster Site Using Aerial Drone Images.

Tomoki Arai, Kenji Iwata, Kensho Hara, Yutaka Satoh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Predicting Appearance of Vehicles From Blind Spots Based on Pedestrian Behaviors at Crossroads.

Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh

IEEE Trans. Intell. Transp. Syst., 2022

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns.

Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Recent Advances in Video Action Recognition with 3D Convolutions.

Kensho Hara

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Rethinking Training Data for Mitigating Representation Biases in Action Recognition.

Kensho Hara, Yuchi Ishikawa, Hirokatsu Kataoka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh

CoRR, 2020

Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors.

Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh

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

Retrieving and Highlighting Action with Spatiotemporal Reference.

Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka

Proceedings of the IEEE International Conference on Image Processing, 2020

2018

Personal Viewpoint Navigation Based on Object Trajectory Distribution for Multi-View Videos.

Xueting Wang, Kensho Hara, Yu Enokibori, Takatsugu Hirayama, Kenji Mase

IEICE Trans. Inf. Syst., 2018

Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions.

Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning Spatiotemporal 3D Convolution with Video Order Self-supervision.

Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Recognizing People in Blind Spots Based on Surrounding Behavior.

Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

User Group based Viewpoint Recommendation using User Attributes for Multiview Videos.

Xueting Wang, Yu Enokibori, Takatsugu Hirayama, Kensho Hara, Kenji Mase

Proceedings of the Workshop on Multimodal Understanding of Social, 2017

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition.

Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Vote Distribution Model for Hough-Based Action Detection.

Kensho Hara, Takatsugu Hirayama, Kenji Mase

IEICE Trans. Inf. Syst., 2016

Personal Multi-view Viewpoint Recommendation based on Trajectory Distribution of the Viewing Target.

Xueting Wang, Kensho Hara, Yu Enokibori, Takatsugu Hirayama, Kenji Mase

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015

Hough-based action detection with time-warped voting.

Kensho Hara, Kenji Mase

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Trend-sensitive hough forests for action detection.

Kensho Hara, Takatsugu Hirayama, Kenji Mase

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Simultaneous Action Recognition and Localization Based on Multi-view Hough Voting.

Kensho Hara, Takatsugu Hirayama, Kenji Mase

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013