Dense crowd counting from still images with convolutional neural networks. - Yaocong Hu; Huan Chang; Fudong Nian; Yan Wang 059; Teng Li 001 (J. Vis. Commun. Image Represent., 2016)

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

Learning spatial-temporal features for video copy detection by the combination of CNN and RNN. - Yaocong Hu; Xiaobo Lu (J. Vis. Commun. Image Represent., 2018)

Real-time video fire smoke detection by utilizing spatial-temporal ConvNet features. - Yaocong Hu; Xiaobo Lu (Multim. Tools Appl., 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)

Lightweight Single Image Super-Resolution with Selective Channel Processing Network. - Hongyu Zhu; Hao Tang; Yaocong Hu; Huanjie Tao; Chao Xie (Sensors, 2022)

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

Real-time road scene segmentation based on knowledge distillation. - Wenting Li; Huicheng Yang; Yaocong Hu; Yuanyuan Lin; Zhen Shuai (EITCE, 2023)

Crowd counting in congested scene by CNN and Transformer: Crowd counting for converged networks. - Yuanyuan Lin; Huicheng Yang; Yaocong Hu; Zhen Shuai; Wenting Li (EITCE, 2023)

Land Use and Land Cover Classification Meets Deep Learning: A Review. - Shengyu Zhao; Kaiwen Tu; Shutong Ye; Hao Tang; Yaocong Hu; Chao Xie (Sensors, 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)

CLDE-Net: crowd localization and density estimation based on CNN and transformer network. - Yaocong Hu; Yuanyuan Lin; Huicheng Yang; Bingyou Liu; Guoyang Wan; Jinwen Hong; Chao Xie; Wei Wang; Xiaobo Lu (Multim. Syst., 2024)

ILSR-Diff: joint face illumination normalization and super-resolution via diffusion models. - Wei Wang; Minghao Mu; Yan Tian; Yaocong Hu; Xiaobo Lu (Multim. Syst., 2024)

Residual Quotient Learning for Zero-Reference Low-Light Image Enhancement. - Chao Xie; Linfeng Fei; Huanjie Tao; Yaocong Hu; Wei Zhou 042; Jiun Tian Hoe; Weipeng Hu; Yap-Peng Tan (IEEE Trans. Image Process., 2025)