Unnatural Human Motion Detection using Weakly Supervised Deep Neural Network. - Daisuke Miki; Shi Chen 006; Kazuyuki Demachi (AI4I, 2020)

Weakly Supervised Graph Convolutional Neural Network for Human Action Localization. - Daisuke Miki; Shi Chen 006; Kazuyuki Demachi (WACV, 2020)

Robust human pose estimation from distorted wide-angle images through iterative search of transformation parameters. - Daisuke Miki; Shinya Abe; Shi Chen 006; Kazuyuki Demachi (Signal Image Video Process., 2020)

Cross-Task Consistency Learning Framework for Multi-Task Learning. - Akihiro Nakano; Shi Chen 006; Kazuyuki Demachi (CoRR, 2021)

An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video. - Xingyu Song; Zhan Li; Shi Chen 006; Xin-Qiang Cai; Kazuyuki Demachi (ECAI, 2024)

Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-Supervised Training. - Xingyu Song; Zhan Li; Shi Chen 006; Kazuyuki Demachi (ECAI, 2024)

GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition. - Xingyu Song; Zhan Li; Shi Chen 006; Kazuyuki Demachi (CoRR, 2024)

Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security. - Zhan Li; Xingyu Song; Shi Chen 006; Kazuyuki Demachi (Expert Syst. Appl., 2024)

Armed boundary sabotage: A case study of human malicious behaviors identification with computer vision and explainable reasoning methods. - Zhan Li; Xingyu Song; Shi Chen 006; Kazuyuki Demachi (Comput. Electr. Eng., 2025)