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Zhiguo Cao
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An interpretable mortality prediction model for COVID-19 patients
L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ...
Nature machine intelligence 2 (5), 283-288, 2020
10492020
Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in Wuhan
L Yan, HT Zhang, Y Xiao, M Wang, Y Guo, C Sun, X Tang, L Jing, S Li, ...
MedRxiv, 2020.02. 27.20028027, 2020
3512020
Multi-spectral remote image registration based on SIFT
Z Yi, C Zhiguo, X Yang
Electronics Letters 44 (2), 1, 2008
2822008
TasselNet: counting maize tassels in the wild via local counts regression network
H Lu, Z Cao, Y Xiao, B Zhuang, C Shen
Plant methods 13, 1-17, 2017
2802017
A fast and robust local descriptor for 3D point cloud registration
J Yang, Z Cao, Q Zhang
Information Sciences 346, 163-179, 2016
2552016
Monocular relative depth perception with web stereo data supervision
K Xian, C Shen, Z Cao, H Lu, Y Xiao, R Li, Z Luo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2472018
A2j: Anchor-to-joint regression network for 3d articulated pose estimation from a single depth image
F Xiong, B Zhang, Y Xiao, Z Cao, T Yu, JT Zhou, J Yuan
Proceedings of the IEEE/CVF International Conference on Computer Vision, 793-802, 2019
2122019
Structure-guided ranking loss for single image depth prediction
K Xian, J Zhang, O Wang, L Mai, Z Lin, Z Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2092020
From open set to closed set: Counting objects by spatial divide-and-conquer
H Xiong, H Lu, C Liu, L Liu, Z Cao, C Shen
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2092019
A machine learning-based model for survival prediction in patients with severe COVID-19 infection
L Yan, H Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ...
2032020
P2b: Point-to-box network for 3d object tracking in point clouds
H Qi, C Feng, Z Cao, F Zhao, Y Xiao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1822020
TOLDI: An effective and robust approach for 3D local shape description
J Yang, Q Zhang, Y Xiao, Z Cao
Pattern Recognition 65, 175-187, 2017
1792017
Interior attention-aware network for infrared small target detection
K Wang, S Du, C Liu, Z Cao
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
1762022
Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage
Z Yu, Z Cao, X Wu, X Bai, Y Qin, W Zhuo, Y Xiao, X Zhang, H Xue
Agricultural and forest meteorology 174, 65-84, 2013
1732013
Learning to upsample by learning to sample
W Liu, H Lu, H Fu, Z Cao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1642023
Crop segmentation from images by morphology modeling in the CIE L* a* b* color space
XD Bai, ZG Cao, Y Wang, ZH Yu, XF Zhang, CN Li
Computers and electronics in agriculture 99, 21-34, 2013
1522013
NM-Net: Mining reliable neighbors for robust feature correspondences
C Zhao, Z Cao, C Li, X Li, J Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1472019
TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks
H Xiong, Z Cao, H Lu, S Madec, L Liu, C Shen
Plant methods 15 (1), 150, 2019
1412019
Action recognition for depth video using multi-view dynamic images
Y Xiao, J Chen, Y Wang, Z Cao, JT Zhou, X Bai
Information Sciences 480, 287-304, 2019
1372019
In-field automatic observation of wheat heading stage using computer vision
Y Zhu, Z Cao, H Lu, Y Li, Y Xiao
Biosystems Engineering 143, 28-41, 2016
1242016
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