Simultaneous Action Recognition and Localization Based on Multi-view Hough Voting. - Kensho Hara; Takatsugu Hirayama; Kenji Mase (ACPR, 2013)

Trend-sensitive hough forests for action detection. - Kensho Hara; Takatsugu Hirayama; Kenji Mase (ICIP, 2014)

Hough-based action detection with time-warped voting. - Kensho Hara; Kenji Mase (ACPR, 2015)

Personal Multi-view Viewpoint Recommendation based on Trajectory Distribution of the Viewing Target. - Xueting Wang; Kensho Hara; Yu Enokibori; Takatsugu Hirayama; Kenji Mase (ACM Multimedia, 2016)

Vote Distribution Model for Hough-Based Action Detection. - Kensho Hara; Takatsugu Hirayama; Kenji Mase (IEICE Trans. Inf. Syst., 2016)

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (ICCV Workshops, 2017)

User Group based Viewpoint Recommendation using User Attributes for Multiview Videos. - Xueting Wang; Yu Enokibori; Takatsugu Hirayama; Kensho Hara; Kenji Mase (MUSA2@MM, 2017)

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (CVPR, 2018)

Recognizing People in Blind Spots Based on Surrounding Behavior. - Kensho Hara; Hirokatsu Kataoka; Masaki Inaba; Kenichi Narioka; Yutaka Satoh (ECCV Workshops (2), 2018)

Learning Spatiotemporal 3D Convolution with Video Order Self-supervision. - Tomoyuki Suzuki; Takahiro Itazuri; Kensho Hara; Hirokatsu Kataoka (ECCV Workshops (2), 2018)

Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions. - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (ICPR, 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)

Retrieving and Highlighting Action with Spatiotemporal Reference. - Seito Kasai; Yuchi Ishikawa; Masaki Hayashi; Yoshimitsu Aoki; Kensho Hara; Hirokatsu Kataoka (ICIP, 2020)

Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors. - Kensho Hara; Hirokatsu Kataoka; Masaki Inaba; Kenichi Narioka; Ryusuke Hotta; Yutaka Satoh (ITSC, 2020)

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? - Hirokatsu Kataoka; Tenga Wakamiya; Kensho Hara; Yutaka Satoh (CoRR, 2020)

Rethinking Training Data for Mitigating Representation Biases in Action Recognition. - Kensho Hara; Yuchi Ishikawa; Hirokatsu Kataoka (CVPR Workshops, 2021)

Recent Advances in Video Action Recognition with 3D Convolutions. - Kensho Hara (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. - Hirokatsu Kataoka; Kensho Hara; Ryusuke Hayashi; Eisuke Yamagata; Nakamasa Inoue (WACV, 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)

Estimation of Human Condition at Disaster Site Using Aerial Drone Images. - Tomoki Arai; Kenji Iwata; Kensho Hara; Yutaka Satoh (ICCV (Workshops), 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)

Diffusion-based Holistic Texture Rectification and Synthesis. - Guoqing Hao; Satoshi Iizuka; Kensho Hara; Edgar Simo-Serra; Hirokatsu Kataoka; Kazuhiro Fukui (SIGGRAPH Asia, 2023)

VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels. - Yue Qiu 001; Yoshiki Nagasaki; Kensho Hara; Hirokatsu Kataoka; Ryota Suzuki 006; Kenji Iwata; Yutaka Satoh (WACV, 2023)

Natural Image Decay With a Decay Effects Generator. - Guoqing Hao; Satoshi Iizuka; Kensho Hara; Hirokatsu Kataoka; Kazuhiro Fukui (IEEE Access, 2023)

Formula-Supervised Visual-Geometric Pre-training. - Ryosuke Yamada; Kensho Hara; Hirokatsu Kataoka; Koshi Makihara; Nakamasa Inoue; Rio Yokota; Yutaka Satoh (ECCV (22), 2024)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)

DailySTR: A Daily Human Activity Pattern Recognition Dataset for Spatio-temporal Reasoning. - Yue Qiu 001; Shusaku Egami; Ken Fukuda; Natsuki Miyata; Takuma Yagi; Kensho Hara; Kenji Iwata; Ryusuke Sagawa (IROS, 2024)

Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments. - Takanori Ugai; Kensho Hara; Shusaku Egami; Ken Fukuda (CoRR, 2024)

Can Masking Background and Object Reduce Static Bias for Zero-Shot Action Recognition? - Takumi Fukuzawa; Kensho Hara; Hirokatsu Kataoka; Toru Tamaki (MMM (4), 2025)

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding. - Kohei Torimi; Ryosuke Yamada; Daichi Otsuka; Kensho Hara; Yuki M. Asano; Hirokatsu Kataoka; Yoshimitsu Aoki (CoRR, 2025)