Shuo Zhuang

According to our database, Shuo Zhuang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Large-Scale Spatial-Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation.

Xinlei Hu, Shuo Zhuang

Remote. Sens., January, 2024

Improving Consistency of Proxy-Level Contrastive Learning for Unsupervised Person Re-Identification.

Yimin Liu, Meibin Qi, Yongle Zhang, Qiang Wu, Jingjing Wu, Shuo Zhuang

IEEE Trans. Inf. Forensics Secur., 2024

Polarized Prior Guided Fusion Network for Infrared Polarization Images.

Kunyuan Li, Meibin Qi, Shuo Zhuang, Yimin Liu

IEEE Trans. Geosci. Remote. Sens., 2024

AIS-PVT: Long-Time AIS Data Assisted Pyramid Vision Transformer for Sea-Land Segmentation in Dual-Polarization SAR Imagery.

Jiaqiu Ai, Weibao Xue, Yanan Zhu, Shuo Zhuang, Congan Xu, Hao Yan, Lifu Chen, Zhaocheng Wang

IEEE Trans. Geosci. Remote. Sens., 2024

Exploring reliable infrared object tracking with spatio-temporal fusion transformer.

Meibin Qi, Qinxin Wang, Shuo Zhuang, Ke Zhang, Kunyuan Li, Yimin Liu, Yanfang Yang

Knowl. Based Syst., 2024

2023

Signal separation and super-resolution DOA estimation based on multi-objective joint learning.

Houhong Xiang, Meibin Qi, Baixiao Chen, Shuo Zhuang

Appl. Intell., June, 2023

Loss-Controlling Calibration for Predictive Models.

Di Wang, Jun-Zhi Shi, Pingping Wang, Shuo Zhuang, Hongyue Li

CoRR, 2023

2022

FTC-Net: Fusion of Transformer and CNN Features for Infrared Small Target Detection.

Meibin Qi, Liu Liu, Shuo Zhuang, Yimin Liu, Kunyuan Li, Yanfang Yang, Xiaohong Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Improving Remote Sensing Image Captioning by Combining Grid Features and Transformer.

Shuo Zhuang, Ping Wang, Gang Wang, Di Wang, Jinyong Chen, Feng Gao

IEEE Geosci. Remote. Sens. Lett., 2022

2020

Asymptotic analysis of locally weighted jackknife prediction.

Di Wang, Ping Wang, Shuo Zhuang, Cong Wang, Jun-Zhi Shi

Neurocomputing, 2020

Learned features of leaf phenotype to monitor maize water status in the fields.

Shuo Zhuang, Ping Wang, Boran Jiang, Maosong Li

Comput. Electron. Agric., 2020

A conformal prediction inspired approach for distribution regression with random Fourier features.

Di Wang, Ping Wang, Cong Wang, Shuo Zhuang, Jun-Zhi Shi

Appl. Soft Comput., 2020

2019

Leaf Counting with Multi-Scale Convolutional Neural Network Features and Fisher Vector Coding.

Boran Jiang, Ping Wang, Shuo Zhuang, Maosong Li, Zhenfa Li, Zhihong Gong

Symmetry, 2019

A Single Shot Framework with Multi-Scale Feature Fusion for Geospatial Object Detection.

Shuo Zhuang, Ping Wang, Boran Jiang, Gang Wang, Cong Wang

Remote. Sens., 2019

Human fall detection using slow feature analysis.

Kaibo Fan, Ping Wang, Shuo Zhuang

Multim. Tools Appl., 2019

2018

Detection of maize drought based on texture and morphological features.

Boran Jiang, Ping Wang, Shuo Zhuang, Maosong Li, Zhenfa Li, Zhihong Gong

Comput. Electron. Agric., 2018

2017

Early detection of water stress in maize based on digital images.

Shuo Zhuang, Ping Wang, Boran Jiang, Maosong Li, Zhihong Gong

Comput. Electron. Agric., 2017