Spatial-Temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition. - Yaocong Hu; MingQi Lu; Xiaobo Lu (ICARCV, 2018)

Dilated Light-Head R-CNN using tri-center loss for driving behavior recognition. - MingQi Lu; Yaocong Hu; Xiaobo Lu (Image Vis. Comput., 2019)

Driving behaviour recognition from still images by using multi-stream fusion CNN. - Yaocong Hu; MingQi Lu; Xiaobo Lu (Mach. Vis. Appl., 2019)

Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals. - MingQi Lu; Yaocong Hu; Xiaobo Lu (Appl. Intell., 2020)

Feature refinement for image-based driver action recognition via multi-scale attention convolutional neural network. - Yaocong Hu; MingQi Lu; Xiaobo Lu (Signal Process. Image Commun., 2020)

Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM. - Yaocong Hu; MingQi Lu; Chao Xie; Xiaobo Lu (IEEE Trans. Circuits Syst. Video Technol., 2020)

FIN-GAN: Face illumination normalization via retinex-based self-supervised learning and conditional generative adversarial network. - Yaocong Hu; MingQi Lu; Chao Xie; Xiaobo Lu (Neurocomputing, 2021)

Video-based driver action recognition via hybrid spatial-temporal deep learning framework. - Yaocong Hu; MingQi Lu; Chao Xie; Xiaobo Lu (Multim. Syst., 2021)

A pose-aware dynamic weighting model using feature integration for driver action recognition. - MingQi Lu; Yaocong Hu; Xiaobo Lu (Eng. Appl. Artif. Intell., 2022)

Pose-guided model for driving behavior recognition using keypoint action learning. - MingQi Lu; Yaocong Hu; Xiaobo Lu (Signal Process. Image Commun., 2022)

Keypoint-enhanced adaptive weighting model with effective frequency channel attention for driver action recognition. - MingQi Lu; Xiaobo Lu (Eng. Appl. Artif. Intell., 2023)

ESDAR-net: towards high-accuracy and real-time driver action recognition for embedded systems. - Yaocong Hu; Zhen Shuai; Huicheng Yang; Guoyang Wan; Yajun Zhang; Chao Xie; MingQi Lu; Xiaobo Lu (Multim. Tools Appl., 2024)