2025
article
OpenAlex
Ya-xing Li, Cheng Zhang, Keming Yang, Wenwen Li
When overlain by Longwall mining, the thick Quaternary loose layer of the working face produces a distinctive pattern of ground subsidence basins. The wide-area, multi-temporal, high-precision Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) time-series monitoring technique provides an accurate and efficient …
cn
(code pays fourni par la source)
2025
article
OpenAlex
Cheng Zhang, Zhuoyue Ding, Xiao-Ying Jing, Lei Huang et autres
cn
(code pays fourni par la source)
2025
article
OpenAlex
Cheng Zhang, Wenjuan Gu, Tingqiang Yao, Jihong Shen et autres
ABSTRACT Accurate segmentation of the female pelvic structures is crucial for diagnosing and treating female pelvic disorders. However, the complex and variable shapes of the pelvic organs, along with their blurred boundary features, present significant challenges. To address the aforementioned issues, HDFMFP‐Net, …
cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Cheng Zhang, Shijun Lin, Shangdong Liu
Vehicle detection in satellite imagery has broad application prospects in civilian fields. However, due to the small size and severe occlusion of vehicles in remote sensing images, existing methods suffer from certain precision deficiencies in small target detection, leading to inaccurate traffic …
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Luyang Ma, Yujiao Zhao, Xiaodong Ji, Lixiang Huang et autres
Motivation: Pelvic organ prolapse(POP) is a common disease in women, and pelvic geometry is one of the influencing factors. Goal(s): To compare pelvic dimensions in women between diagnosed with POP and control group encompassing all age groups. Approach: 130 patients with POP …
2024
conference-paper
OpenAlex
Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong et autres
us
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Rwiddhi Chakraborty, Yicai Wang, Juan Gao, Runkai Zheng et autres
The widespread success of deep learning models today is owed to the curation of extensive datasets significant in size and complexity. However, such models frequently pick up inherent biases in the data during the training process, leading to unreliable predictions. Diagnosing and …
Accès ouvert
2024
preprint
OpenAlex
Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong et autres
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR, gaming, and content creation. While these methods excel at interpolating {\em within the training data}, the challenge …
2024
article
OpenAlex
Lei Huang, Zhuoyue Ding, Cheng Zhang, Run Ye et autres
Forest fires can cause tremendous damage to the environment and irreparable loss to individual properties. Using deep learning algorithms on embedded sensing devices to detect smoke and flame for real-time detection of forest fire is essential to minimize the risk to the …
cn
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Cheng Zhang, Zhuoyue Ding, Lei Huang, Run Ye et autres
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Rwiddhi Chakraborty, Juan Gao, Runkai Zheng, Cheng Zhang et autres
2023
conference-paper
OpenAlex
Run Ye, X. Gregory Chen, Cheng Zhang, Bin Feng Yan et autres
In the field of SLAM, establishing a scene map using semi-dense SLAM is a commonly employed method. However, semi-dense point clouds might not effectively capture the structural characteristics of the scene. To address this, we propose a keyframe selection strategy and introduce …
cn
(code pays fourni par la source)