Kai Hu

Orcid: 0000-0001-7181-9935

Affiliations:
  • Nanjing University of Information Science & Technology, Nanjing, China


According to our database1, Kai Hu authored at least 34 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images.
Neural Comput. Appl., May, 2024

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation.
Expert Syst. Appl., March, 2024

Overview of temporal action detection based on deep learning.
Artif. Intell. Rev., February, 2024

Multi-Level Attention Interactive Network for Cloud and Snow Detection Segmentation.
Remote. Sens., January, 2024

Multipath Multiscale Attention Network for Cloud and Cloud Shadow Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

Dual Encoder-Decoder Network for Land Cover Segmentation of Remote Sensing Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton.
Sensors, December, 2023

Personalized federated learning based on multi-head attention algorithm.
Int. J. Mach. Learn. Cybern., November, 2023

MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation.
Remote. Sens., October, 2023

Attentional weighting strategy-based dynamic GCN for skeleton-based action recognition.
Multim. Syst., August, 2023

Overview of behavior recognition based on deep learning.
Artif. Intell. Rev., March, 2023

Attention-guided siamese networks for change detection in high resolution remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023

MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images.
Remote. Sens., February, 2023

Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens., 2023

MCSGNet: A Encoder-Decoder Architecture Network for Land Cover Classification.
Remote. Sens., 2023

A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network.
Eng. Appl. Artif. Intell., 2023

2022
SLAM Overview: From Single Sensor to Heterogeneous Fusion.
Remote. Sens., December, 2022

Hyperspectral Snapshot Compressive Imaging With Dense Back-Projection Joint Attention Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory.
Sensors, 2022

Multi-Scale Feature Aggregation Network for Water Area Segmentation.
Remote. Sens., 2022

An Overview on Visual SLAM: From Tradition to Semantic.
Remote. Sens., 2022

Visual saliency prediction using multi-scale attention gated network.
Multim. Syst., 2022

2021
CDUNet: Cloud Detection UNet for Remote Sensing Imagery.
Remote. Sens., 2021

A novel federated learning approach based on the confidence of federated Kalman filters.
Int. J. Mach. Learn. Cybern., 2021

Federated Learning: A Distributed Shared Machine Learning Method.
Complex., 2021

2020
A Marine Object Detection Algorithm Based on SSD and Feature Enhancement.
Complex., 2020

2018
Electric power communication bandwidth prediction based on adaptive extreme learning machine.
Int. J. Embed. Syst., 2018

2017
An Optimization Strategy for Weighted Extreme Learning Machine based on PSO.
Int. J. Pattern Recognit. Artif. Intell., 2017

2016
Bandwidth Forecasting for Power Communication Using Adaptive Extreme Learning Machine.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016


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