Search Results - "Jia, Feiyang"

A super-resolution network using channel attention retention for pathology images by Jia, Feiyang, Tan, Li, Wang, Ge, Jia, Caiyan, Chen, Zhineng

“…Image super-resolution (SR) significantly improves the quality of low-resolution images, and is widely used for image reconstruction in various fields…”
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Research status of deep learning methods for rumor detection by Tan, Li, Wang, Ge, Jia, Feiyang, Lian, Xiaofeng

“…To manage the rumors in social media to reduce the harm of rumors in society. Many studies used methods of deep learning to detect rumors in open networks. To…”
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Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook by Song, Ziying, Liu, Lin, Jia, Feiyang, Luo, Yadan, Jia, Caiyan, Zhang, Guoxin, Yang, Lei, Wang, Li

“…In the realm of modern autonomous driving, the perception system is indispensable for accurately assessing the state of the surrounding environment, thereby…”
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SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection by Liu, Lin, Song, Ziying, Xia, Qiming, Jia, Feiyang, Jia, Caiyan, Yang, Lei, Gong, Yan, Pan, Hongyu

“…LiDAR-based sparse 3-D object detection plays a crucial role in autonomous driving applications due to its computational efficiency advantages. Existing…”
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Effect of replacement of fish meal with cricket meal on growth performance, proximate composition, digestive enzyme activities, serum biochemical indices, and antioxidant capacity in largemouth bass (Micropterus salmoides) by Wang, Kaidong, Zhang, Longfei, Brown, Paul B., Feng, Yibo, Zhu, Zijun, Lei, Ao, Zhang, Yi, Ding, Xinyu, Bai, Yuhe, Jia, Feiyang, Huang, Yong

“…The present study was conducted to evaluate the effect of dietary replacement of fish meal with cricket meal on growth performance, proximate composition,…”
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The prevention effect of pulsed electromagnetic fields treatment on senile osteoporosis in vivo via improving the inflammatory bone microenvironment by Zhou, Jun, Jia, Feiyang, Qu, Mengjian, Ning, Pengyun, Huang, Xiarong, Tan, Lu, Liu, Danni, Zhong, Peirui, Wu, Qi

“…This study aimed to assess PEMF in a rat model of senile osteoporosis and its relationship with NLRP3-mediated low-grade inflammation in the bone marrow…”
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CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer by Jia, Feiyang, Chen, Zhineng, Song, Ziying, Liu, Lin, Jia, Caiyan

“…Super-resolution (SR) aims to enhance the quality of low-resolution images and has been widely applied in medical imaging. We found that the design principles…”
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SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection by Liu, Lin, Song, Ziying, Xia, Qiming, Jia, Feiyang, Jia, Caiyan, Yang, Lei, Pan, Hongyu

“…LiDAR-based sparse 3D object detection plays a crucial role in autonomous driving applications due to its computational efficiency advantages. Existing methods…”
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GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection by Song, Ziying, Yang, Lei, Xu, Shaoqing, Liu, Lin, Xu, Dongyang, Jia, Caiyan, Jia, Feiyang, Wang, Li

“…Integrating LiDAR and camera information into Bird's-Eye-View (BEV) representation has emerged as a crucial aspect of 3D object detection in autonomous…”
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Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook by Song, Ziying, Liu, Lin, Jia, Feiyang, Luo, Yadan, Zhang, Guoxin, Yang, Lei, Wang, Li, Jia, Caiyan

“…In the realm of modern autonomous driving, the perception system is indispensable for accurately assessing the state of the surrounding environment, thereby…”
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Research Status of Deep Learning Methods for Rumor Detection by Tan, Li, Wang, Ge, Jia, Feiyang, Lian, Xiaofeng

“…To manage the rumors in social media to reduce the harm of rumors in society. Many studies used methods of deep learning to detect rumors in open networks. To…”
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RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM by Song, Ziying, Zhang, Guoxing, Liu, Lin, Yang, Lei, Xu, Shaoqing, Jia, Caiyan, Jia, Feiyang, Wang, Li

“…Multi-modal 3D object detectors are dedicated to exploring secure and reliable perception systems for autonomous driving (AD).Although achieving…”
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ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection by Song, Ziying, Jia, Feiyang, Pan, Hongyu, Luo, Yadan, Jia, Caiyan, Zhang, Guoxin, Liu, Lin, Ji, Yang, Yang, Lei, Wang, Li

“…In the field of 3D object detection tasks, fusing heterogeneous features from LiDAR and camera sensors into a unified Bird's Eye View (BEV) representation is a…”
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