Obserwuj
Xiaoliang Qian
Xiaoliang Qian
zhengzhou university of light industry
Zweryfikowany adres z zzuli.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
Object detection in remote sensing imagery using a discriminatively trained mixture model
G Cheng, J Han, L Guo, X Qian, P Zhou, X Yao, X Hu
ISPRS Journal of Photogrammetry and Remote Sensing 85, 32-43, 2013
1902013
Object detection in remote sensing images based on improved bounding box regression and multi-level features fusion
X Qian, S Lin, G Cheng, X Yao, H Ren, W Wang
Remote Sensing 12 (1), 143, 2020
1182020
An object-oriented visual saliency detection framework based on sparse coding representations
J Han, S He, X Qian, D Wang, L Guo, T Liu
IEEE transactions on circuits and systems for video technology 23 (12), 2009 …, 2013
1152013
A novel color image encryption algorithm based on three-dimensional chaotic maps and reconstruction techniques
X Qian, Q Yang, Q Li, Q Liu, Y Wu, W Wang
IEEE Access 9, 61334-61345, 2021
802021
Co-saliency detection guided by group weakly supervised learning
X Qian, Y Zeng, W Wang, Q Zhang
IEEE Transactions on Multimedia 25, 1810-1818, 2022
642022
Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images
X Qian, B Wu, G Cheng, X Yao, W Wang, J Han
IEEE Transactions on Geoscience and Remote Sensing 61, 1-9, 2023
582023
Micro-cracks detection of solar cells surface via combining short-term and long-term deep features
X Qian, J Li, J Cao, Y Wu, W Wang
Neural Networks 127, 132-140, 2020
562020
Mining high-quality pseudoinstance soft labels for weakly supervised object detection in remote sensing images
X Qian, Y Huo, G Cheng, C Gao, X Yao, W Wang
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
392023
Two-stream encoder GAN with progressive training for co-saliency detection
X Qian, X Cheng, G Cheng, X Yao, L Jiang
IEEE Signal Processing Letters 28, 180-184, 2021
372021
Semantic segmentation guided pseudo label mining and instance re-detection for weakly supervised object detection in remote sensing images
X Qian, C Li, W Wang, X Yao, G Cheng
International Journal of Applied Earth Observation and Geoinformation 119 …, 2023
362023
Guiding clean features for object detection in remote sensing images
G Cheng, M He, H Hong, X Yao, X Qian, L Guo
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
342021
Fast depth map mode decision based on depth–texture correlation and edge classification for 3D-HEVC
Q Zhang, N Zhang, T Wei, K Huang, X Qian, Y Gan
Journal of Visual Communication and Image Representation 45, 170-180, 2017
342017
Smooth giou loss for oriented object detection in remote sensing images
X Qian, N Zhang, W Wang
Remote Sensing 15 (5), 1259, 2023
302023
Micro-cracks detection of multicrystalline solar cell surface based on self-learning features and low-rank matrix recovery
X Qian, H Zhang, C Yang, Y Wu, Z He, QE Wu, H Zhang
Sensor Review 38 (3), 360-368, 2018
302018
Incorporating the completeness and difficulty of proposals into weakly supervised object detection in remote sensing images
X Qian, Y Huo, G Cheng, X Yao, K Li, H Ren, W Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
272022
Generating and sifting pseudolabeled samples for improving the performance of remote sensing image scene classification
X Qian, X Chen, W Yue, X Liu, J Guo, Z Li, Y Li, W Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
252020
Crop line recognition algorithm and realization in precision pesticide system based on machine vision
Z Diao, M Zhao, Y Song, B Wu, Y Wu, X Qian, Y Wei
Transactions of the Chinese Society of Agricultural Engineering 31 (7), 47-52, 2015
252015
Solar cell surface defects detection based on computer vision
X Qian, H Zhang, H Zhang, Y Wu, Z Diao, QE Wu, C Yang
International Journal of Performability Engineering 13 (7), 1048, 2017
232017
Optimal contrast based saliency detection
X Qian, J Han, G Cheng, L Guo
Pattern Recognition Letters 34 (11), 1270-1278, 2013
222013
Multiple instance complementary detection and difficulty evaluation for weakly supervised object detection in remote sensing images
Y Huo, X Qian, C Li, W Wang
IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023
202023
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