Search Results - "Wenming, Cao"

Review of Pavement Defect Detection Methods by Cao, Wenming, Liu, Qifan, He, Zhiquan

“…Road pavement cracks detection has been a hot research topic for quite a long time due to the practical importance of crack detection for road maintenance and…”
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A Comprehensive Survey on Geometric Deep Learning by Cao, Wenming, Yan, Zhiyue, He, Zhiquan, He, Zhihai

“…Deep learning methods have achieved great success in analyzing traditional data such as texts, sounds, images and videos. More and more research works are…”
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Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification by Zhang, Zhi, He, Zhihai, Cao, Guitao, Cao, Wenming

“…In this paper, we consider the animal object detection and segmentation from wildlife monitoring videos captured by motion-triggered cameras, called…”
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Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples by Li, Yang, Kan, Shichao, Wenming, Cao, He, Zhihai

“…In this work, we propose to push the performance limit of semi-supervised learning on very small sets of labeled samples by developing a new method called…”
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Simplified unsupervised image translation for semantic segmentation adaptation by Li, Rui, Cao, Wenming, Jiao, Qianfen, Wu, Si, Wong, Hau-San

“…•A simple yet effective unsupervised image translation method (SUIT)is proposed for domain adaptation on semantic segmentation, which avoids labor-intensive…”
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SEMPANet: A Modified Path Aggregation Network with Squeeze-Excitation for Scene Text Detection by Li, Shuangshuang, Cao, Wenming

“…Recently, various object detection frameworks have been applied to text detection tasks and have achieved good performance in the final detection. With the…”
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Parallel multi-stage rectification networks for 3D skeleton-based motion prediction by Zhong, Jianqi, Ye, Conghui, Cao, Wenming, Wang, Hao

“…It is noted that Recurrent Neural Networks (RNNs), which are widely used in human prediction tasks, have achieved promising performance in motion prediction,…”
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An adaptively multi-correlations aggregation network for skeleton-based motion recognition by Yin, Xinpeng, Zhong, Jianqi, Lian, Deliang, Cao, Wenming

“…Previous work based on Graph Convolutional Networks (GCNs) has shown promising performance in 3D skeleton-based motion recognition. We believe that the 3D…”
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Geometric Algebra-Based ESPRIT Algorithm for DOA Estimation by Wang, Rui, Wang, Yue, Li, Yanping, Cao, Wenming, Yan, Yi

“…Direction-of-arrival (DOA) estimation plays an important role in array signal processing, and the Estimating Signal Parameter via Rotational Invariance…”
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A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules based on Computed Tomography Scans by Cao, Wenming, Wu, Rui, Cao, Guitao, He, Zhihai

“…Lung cancer is one of the malignant tumor diseases with the fastest increase in morbidity and mortality, which poses a great threat to human health. Low-Dose…”
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Task-Driven Progressive Part Localization for Fine-Grained Object Recognition by Huang, Chen, He, Zhihai, Cao, Guitao, Cao, Wenming

“…The problem of fine-grained object recognition is very challenging due to the subtle visual differences between different object categories. In this paper, we…”
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Research on geometric algebra-based robust adaptive filtering algorithms in wireless communication systems by Wang, Rui, Wang, Yi, Li, Yanping, Cao, Wenming

“…Noise and interference are the two most common and basic problems in wireless communication systems. The noise in wireless communication channels has the…”
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Level-wise aligned dual networks for text–video retrieval by Lin, Qiubin, Cao, Wenming, He, Zhiquan

“…The vast amount of videos on the Internet makes efficient and accurate text–video retrieval tasks increasingly important. The current methods leverage a…”
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MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection by Ali, Liaqat, He, Zhiquan, Cao, Wenming, Rauf, Hafiz Tayyab, Imrana, Yakubu, Bin Heyat, Md Belal

“…Parkinson's disease (PD) is the second most common neurological disease having no specific medical test for its diagnosis. In this study, we consider PD…”
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Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images by Meng, Dan, Zhang, Libo, Cao, Guitao, Cao, Wenming, Zhang, Guixu, Hu, Bing

“…Diagnostic ultrasound offers great improvements in diagnostic accuracy and robustness. However, it is difficult to make subjective and uniform diagnoses,…”
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Exosomes Derived from Human Umbilical Cord Mesenchymal Stem Cells Relieve Acute Myocardial Ischemic Injury by Xu, Wenrong, Qian, Hui, Sun, Li, Ma, Jie, Cao, Wenming, Sun, Xiaoxian, Zhao, Yuanyuan, Zhu, Wei

“…This study is aimed at investigating whether human umbilical cord mesenchymal stem cell- (hucMSC-) derived exosomes (hucMSC-exosomes) have a protective effect…”
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Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning by Zhong, Jianqi, Sun, Hao, Cao, Wenming, He, Zhihai

“…Existing methods for pedestrian motion trajectory prediction are learning and predicting the trajectories in the 2D image space. In this work, we observe that…”
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Editorial: Deep neural network based decision-making interpretability by Cao, Guitao, Duan, Ye, Cao, Wenming

“…Aamir et al. propose a layer-wise analysis approach to determine influence scores and identify influential training images that contribute to class prediction…”
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Determination of Free Fatty Acids in Foodstuff by Solid Phase Extraction and Gas Chromatography-Flame Ionization Detection Using H2SO4-MeOH Derivatization by Wenming, Cao, Yuyang, Zhang, Tingting, Wei, Tong, Li, Guolong, Yang

“…Free fatty acids (FFAs) serve as crucial analytical markers in oils, fats, and food, reflecting food safety through their content variations. However, the…”
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Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection by Cao, Wenming, Yuan, Jianhe, He, Zhihai, Zhang, Zhi, He, Zhiquan

“…It has been recognized that deeper and wider neural networks are continuously advancing the state-of-the-art performance of various computer vision and machine…”
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