Jingjuan Guo

According to our database, Jingjuan Guo authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

Cross-Scale Bilevel Aggregation for Multi-exposure Fusion via Conditional Generative Adversarial Network.

Longchun Wang, Mali Yu, Hai Zhang, Taojun Yang, Qingming Leng, Xiwei Dong, Jingjuan Guo, Guangxing Wang

Proceedings of the Internet of Things - ICIOT 2024, 2024

2022

CE-FPN: enhancing channel information for object detection.

Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng

Multim. Tools Appl., 2022

2020

Object detector with enriched global context information.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang

Multim. Tools Appl., 2020

Research on Context Cost Information Model of Assembly Building Based on BIM.

Qixuan Wang, Jingjuan Guo

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019

Learning deep embedding with mini-cluster loss for person re-identification.

Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan

Multim. Tools Appl., 2019

Densely convolutional and feature fused object detector.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan

Multim. Tools Appl., 2019

A jointly learned deep embedding for person re-identification.

Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Chunyan Xu, Tianjiang Wang, Gwang-Min Choe, Kui Duan

Neurocomputing, 2019

A Spiking Neural Network Architecture for Object Tracking.

Yihao Luo, Quanzheng Yi, Tianjiang Wang, Ling Lin, Yan Xu, Jing Zhou, Caihong Yuan, Jingjuan Guo, Ping Feng, Qi Feng

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Deep multi-instance learning for end-to-end person re-identification.

Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo

Multim. Tools Appl., 2018

Bi-branch deconvolution-based convolutional neural network for image classification.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu

Multim. Tools Appl., 2018

A hybrid tracking framework based on kernel correlation filtering and particle filtering.

Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu

Neurocomputing, 2018

A deep features based generative model for visual tracking.

Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan

Neurocomputing, 2018

2017

Dual-scale structural local sparse appearance model for robust object tracking.

Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui

Neurocomputing, 2017

2014

An integrated cost-based approach for real estate appraisals.

Jingjuan Guo, Shoubo Xu, Zhuming Bi

Inf. Technol. Manag., 2014