Yaocong Hu

According to our database, Yaocong Hu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

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., February, 2024

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, November, 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

Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

Real-time road scene segmentation based on knowledge distillation.

Wenting Li, Huicheng Yang, Yaocong Hu, Yuanyuan Lin, Zhen Shuai

Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2022

Pose-guided model for driving behavior recognition using keypoint action learning.

MingQi Lu, Yaocong Hu, Xiaobo Lu

Signal Process. Image Commun., 2022

Lightweight Single Image Super-Resolution with Selective Channel Processing Network.

Hongyu Zhu, Hao Tang, Yaocong Hu, Huanjie Tao, Chao Xie

Sensors, 2022

A pose-aware dynamic weighting model using feature integration for driver action recognition.

MingQi Lu, Yaocong Hu, Xiaobo Lu

Eng. Appl. Artif. Intell., 2022

2021

Video-based driver action recognition via hybrid spatial-temporal deep learning framework.

Yaocong Hu, MingQi Lu, Chao Xie, Xiaobo Lu

Multim. Syst., 2021

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

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

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 action recognition using deformable and dilated faster R-CNN with optimized region proposals.

MingQi Lu, Yaocong Hu, Xiaobo Lu

Appl. Intell., 2020

2019

Driving behaviour recognition from still images by using multi-stream fusion CNN.

Yaocong Hu, MingQi Lu, Xiaobo Lu

Mach. Vis. Appl., 2019

Dilated Light-Head R-CNN using tri-center loss for driving behavior recognition.

MingQi Lu, Yaocong Hu, Xiaobo Lu

Image Vis. Comput., 2019

2018

Real-time video fire smoke detection by utilizing spatial-temporal ConvNet features.

Yaocong Hu, Xiaobo Lu

Multim. Tools Appl., 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

Spatial-Temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition.

Yaocong Hu, MingQi Lu, Xiaobo Lu

Proceedings of the 15th International Conference on Control, 2018

2016

Dense crowd counting from still images with convolutional neural networks.

Yaocong Hu, Huan Chang, Fudong Nian, Yan Wang, Teng Li

J. Vis. Commun. Image Represent., 2016