Qingwang Wang

Orcid: 0000-0001-5820-5357

According to our database1, Qingwang Wang authored at least 22 papers between 2014 and 2024.

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

Timeline

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Links

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Bibliography

2024
Multikernel Graph Structure Learning for Multispectral Point Cloud Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Deep Spatial Graph Convolution Network with Adaptive Spectral Aggregated Residuals for Multispectral Point Cloud Classification.
Remote. Sens., September, 2023

Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection.
Remote. Sens., March, 2023

Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection.
Remote. Sens., February, 2023

UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2023

Graph Neural Network with Multi-Kernel Learning for Multispectral Point Cloud Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Coupled Graph Convolution Network for Cross-Scene Multispectral Point Cloud Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy.
Remote. Sens., 2022

Improving Rgb-Infrared Pedestrian Detection by Reducing Cross-Modality Redundancy.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
A Discriminative Tensor Representation Model for Feature Extraction and Classification of Multispectral LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2020

Spatial-Spectral Smooth Graph Convolutional Network for Multispectral Point Cloud Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2017
Multiple Kernel Sparse Representation for Airborne LiDAR Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Discriminative Graph-Based Fusion of HSI and LiDAR Data for Urban Area Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Discriminative Multiple Kernel Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2016

Discriminative graph-based dimensionality reduction for hyperspectral image classification.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

LiDAR point classification based on joint sparse representation in kernel space.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Multiple Kernel Learning via Low-Rank Nonnegative Matrix Factorization for Classification of Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Discriminating multiple kernel learning for joint classification of optical and LiDAR data in urban area.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2014
Mapping of cloud thickness with MODIS and CloudSat data through multiple kernel learning.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Hyperspectral image classification with multiple kernel Boosting algorithm.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Linear discriminant multiple kernel learning for multispectral image classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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