Gao, Guangshuai
134  results:
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1

Optical Remote Sensing Object Detection Based on Background..:

Dong, Yan ; Yang, Haotian ; Liu, Shanliang..
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.  , 2024
 
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3

Building Detection From Panchromatic and Multispectral Imag..:

Huang, Ziyue ; Liu, Qingjie ; Zhou, Huanyu...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.  16 (2023)  - p. 3364-3377 , 2023
 
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5

A Key Feature-Enhanced Network for Remote Sensing Object De..:

, In: 2023 IEEE International Conference on Image Processing (ICIP),
Liu, Yundong ; Dong, Yan ; Kang, Haonan... - p. 805-809 , 2023
 
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7

MRDet: A Multihead Network for Accurate Rotated Object Dete..:

Qin, Ran ; Liu, Qingjie ; Gao, Guangshuai..
IEEE Transactions on Geoscience and Remote Sensing.  60 (2022)  - p. 1-12 , 2022
 
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8

PSGCNet: A Pyramidal Scale and Global Context Guided Networ..:

Gao, Guangshuai ; Liu, Qingjie ; Hu, Zhenghui...
IEEE Transactions on Geoscience and Remote Sensing.  60 (2022)  - p. 1-12 , 2022
 
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10

Unsupervised Conditional Disentangle Network For Image Deha..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),
Jin, Yizhou ; Gao, Guangshuai ; Liu, Qingjie. - p. 963-967 , 2020
 
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11

Counting Dense Objects in Remote Sensing Images:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Gao, Guangshuai ; Liu, Qingjie ; Wang, Yunhong - p. 4137-4141 , 2020
 
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13

Robust low-rank decomposition of multi-channel feature matr..:

Li, Chunlei ; Liu, Chaodie ; Gao, Guangshuai..
Multimedia Tools and Applications.  78 (2018)  6 - p. 7321-7339 , 2018
 
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14

Fabric defect detection based on sparse representation of m..:

Liu, Zhoufeng ; Yan, Lei ; Li, Chunlei..
International Journal of Clothing Science and Technology.  29 (2017)  3 - p. 282-293 , 2017
 
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15

Fabric defect detection via learned dictionary-based visual..:

Li, Chunlei ; Yang, Ruimin ; Liu, Zhoufeng..
International Journal of Clothing Science and Technology.  28 (2016)  4 - p. 530-542 , 2016
 
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