Kailang Cao

According to our database, Kailang Cao authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Model-Driven Deep Pipeline With Uncertainty-Aware Bundle Adjustment for Satellite Photogrammetry.

Kailang Cao, Jiaojiao Li, Rui Song, Zhiqiang Liu, Yunsong Li

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Structure-Aware Graph Convolution Network for Point Cloud Parsing.

Fengda Hao, Jiaojiao Li, Rui Song, Yunsong Li, Kailang Cao

IEEE Trans. Multim., 2023

2022

Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic Segmentation.

Fengda Hao, Jiaojiao Li, Rui Song, Yunsong Li, Kailang Cao

Remote. Sens., 2022

Cascaded geometric feature modulation network for point cloud processing.

Fengda Hao, Rui Song, Jiaojiao Li, Kailang Cao, Yunsong Li

Neurocomputing, 2022

2021

ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion.

Yaqi Xia, Yan Xia, Wei Li, Rui Song, Kailang Cao, Uwe Stilla

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pansharpening of Hyperspectral Images with Detail Guided Feature Modulation.

Yuxuan Zheng, Jiaojiao Li, Yunsong Li, Kailang Cao, Keyan Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Extreme Learning Machine Correction Network for High Precision Satellite Attitude Determination.

Kailang Cao, Jiaojiao Li, Rui Song, Yunsong Li, Weijiao Jiang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Deep Residual Learning for Boosting the Accuracy of Hyperspectral Pansharpening.

Yuxuan Zheng, Jiaojiao Li, Yunsong Li, Kailang Cao, Keyan Wang

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection.

Yanzi Shi, Jie Lei, Yaping Yin, Kailang Cao, Yunsong Li, Chein-I Chang

IEEE Geosci. Remote. Sens. Lett., 2019