Ge Cao

According to our database, Ge Cao authored at least 31 papers between 2012 and 2024.

Collaborative distances:

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

2024

Building an economically sustainable online learning ecosystem with freemium model: A sequential mixed-method approach.

Yujie Zhou, Ge Cao, Xiao-Liang Shen

Educ. Inf. Technol., July, 2024

RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments.

Ge Cao, Zhen Peng

CoRR, 2024

Facial Attribute Recognition Using Weighted Bottleneck Transformer for Intelligent Marketing.

Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Ge Cao, Kanghyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2024

Design and Implementation of a Vision-Based Vehicle Control System for Operational Commands via Human Keypoints Recognition.

Ge Cao, Yue Teng, Yu Shen, Qing Tang, Tran Tien Dat, Ashraf Uddin Russo, Adri Priadana, Kanghyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2024

Group Spatial Attention for 3D Human Pose Estimation.

Tien-Dat Tran, Ge Cao, Russo Ashraf, Kang-Hyun Jo

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

Simultaneous Facial Age Group and Gender Recognition using Efficient Local-Global Attention Network for Intelligent Advertising.

Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Muhamad Dwisnanto Putro, Ge Cao, Kanghyun Jo

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

Exploring Sampler Strategies in Unsupervised Person Re-identification Training: Insights and Performance Analysis.

Ge Cao, Qing Tang, Tran Tien Dat, Ashraf Uddin Russo, Adri Priadana, Kanghyun Jo

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

Enhancing Unsupervised Domain Adaptive Person Re-identification Clustering Through Parsing-Based Attribute Labeling.

Ge Cao, Kanghyun Jo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Inverted Residual Bottlenecks with Large Kernel Attention for Remote Scene Classification.

Russo Ashraf, Adri Priadana, Ge Cao, Kanghyun Jo

Proceedings of the 16th International Conference on Human System Interaction, 2024

Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification.

Ge Cao, Kanghyun Jo

Proceedings of the Frontiers of Computer Vision - 30th International Workshop, 2024

2023

A Simple Yet Effective Data Augmentation for Human Pose Estimation.

Tien-Dat Tran, Xuan-Thuy Vo, Ge Cao, Kang-Hyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2023

Unsupervised Person and Vehicle Re-identification via Relative Hard Samples in Industrial Surveillance System.

Qing Tang, Ge Cao, Kang-Hyun Jo, Hail Jung

Proceedings of the International Workshop on Intelligent Systems, 2023

3D Human Pose Estimation with Dilated Sampled Frames.

Ge Cao, Qing Tang, Tien-Dat Tran, Moahamammad-Ashraf Russo, Kanghyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2023

DenseNetx: Efficient DenseNets for Remote Scene Classification without Pretraining.

RussoMohammadAshraf Uddin, Tien-Dat Tran, Ge Cao, Kang-Hyun Jo

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Attribute Auxiliary Clustering for Person Re-Identification.

Ge Cao, Kang-Hyun Jo

Proceedings of the Frontiers of Computer Vision - 29th International Workshop, 2023

2022

Unsupervised Object Re-identification via Irregular Sampling.

Qing Tang, Ge Cao, Kang-Hyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2022

Graph-based Attribute-aware Unsupervised Person Re-identification with Contrastive learning.

Ge Cao, Qing Tang, Kang-Hyun Jo

Proceedings of the International Workshop on Intelligent Systems, 2022

2021

Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training.

Qing Tang, Ge Cao, Kang-Hyun Jo

IEEE Access, 2021

Integrated Feature Pyramid Network With Feature Aggregation for Traffic Sign Detection.

Qing Tang, Ge Cao, Kang-Hyun Jo

IEEE Access, 2021

Unsupervised Person Re-Identification with Transformer-based Network for Intelligent Surveillance Systems.

Ge Cao, Kang-Hyun Jo

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Saliency Prediction with Relation-Aware Global Attention Module.

Ge Cao, Kang-Hyun Jo

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020

Operational Risk Evaluation of Active Distribution Networks Considering Cyber Contingencies.

Ge Cao, Wei Gu, Peixin Li, Wanxing Sheng, Ke-yan Liu, Lijing Sun, Zhihuang Cao, Jing Pan

IEEE Trans. Ind. Informatics, 2020

Modeling and continuous co-simulation of URT traction electric network-Trains with OESS.

Xiaojun Shen, Ge Cao, Tek Tjing Lie

Simul. Model. Pract. Theory, 2020

Accurate and Efficient Traffic Sign Detection with a Guided Region Enlarging Algorithm.

Qing Tang, Ge Cao, Kang-Hyun Jo

Proceedings of the Intelligent Computing Theories and Application, 2020

Aggregated Deep Saliency Prediction by Self-attention Network.

Ge Cao, Qing Tang, Kang-Hyun Jo

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

2019

Real-time cyber-physical system co-simulation testbed for microgrids control.

Ge Cao, Wei Gu, Chenxiao Gu, Wanxing Sheng, Jing Pan, Rui Li, Lijing Sun

IET Cyper-Phys. Syst.: Theory & Appl., 2019

Modeling and simulation of human lower extremity motion.

Meng Zhang, Na Zou, Ge Cao, Chunxiao Li

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

2016

REFLEX: Face Micro-Expression Recognition System for TV Content Curation.

Paula Falco, Christina Noonan, Ge Cao

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2016

2014

Multi-source transfer ELM-based Q learning.

Jie Pan, Xuesong Wang, Yuhu Cheng, Ge Cao

Neurocomputing, 2014

Multi-Source Tri-Training Transfer Learning.

Yuhu Cheng, Xuesong Wang, Ge Cao

IEICE Trans. Inf. Syst., 2014

2012

Reinforcement Learning Based on Extreme Learning Machine.

Jie Pan, Xuesong Wang, Yuhu Cheng, Ge Cao

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012