Sheng Jin

According to our database, Sheng Jin authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Spatial memory-augmented visual navigation based on hierarchical deep reinforcement learning in unknown environments.

Sheng Jin, Xinming Wang, Qinghao Meng

Knowl. Based Syst., 2024

2023

Loop closure detection with patch-level local features and visual saliency prediction.

Sheng Jin, Xu-Yang Dai, Qing-Hao Meng

Eng. Appl. Artif. Intell., April, 2023

"Focusing on the right regions" - Guided saliency prediction for visual SLAM.

Sheng Jin, Xu-Yang Dai, Qing-Hao Meng

Expert Syst. Appl., March, 2023

2022

PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic Segmentation.

Chenyang Zhang, Rongchun Zhang, Sheng Jin, Xuefeng Yi

Remote. Sens., 2022

Camera view planning based on generative adversarial imitation learning in indoor active exploration.

Xu-Yang Dai, Qing-Hao Meng, Sheng Jin, Yin-Bo Liu

Appl. Soft Comput., 2022

2021

Towards a Robust Visual Place Recognition in Large-Scale vSLAM Scenarios Based on a Deep Distance Learning.

Liang Chen, Sheng Jin, Zhoujun Xia

Sensors, 2021

Uncertainty-driven active view planning in feature-based monocular vSLAM.

Xu-Yang Dai, Qing-Hao Meng, Sheng Jin

Appl. Soft Comput., 2021

2020

Improved Deep Distance Learning for Visual Loop Closure Detection in Smart City.

Sheng Jin, Yu Gao, Liang Chen

Peer-to-Peer Netw. Appl., 2020

A novel vSLAM framework with unsupervised semantic segmentation based on adversarial transfer learning.

Sheng Jin, Liang Chen, Rongchuan Sun, Seán F. McLoone

Appl. Soft Comput., 2020