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检索条件"机构=Shenzhen University College of Computer Science and Software Engineering"
9877 条 记 录,以下是1-10 订阅
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VAT: Visibility Aware Transformer for Fine-Grained Clothed Human Reconstruction
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IEEE Transactions on Visualization and computer Graphics 2025年 第5期31卷 2277-2287页
作者: Zhang, Xiaoyan Zhu, Zibin Xie, Hong Ren, Sisi Shenzhen University College of Computer Science and Software Engineering Shenzhen518000 China
In order to reconstruct 3D clothed human with accurate fine-grained details from sparse views, we propose a deep cooperating two-level global to fine-grained reconstruction framework that constructs robust global geom... 详细信息
来源: 评论
LoRaDIP: Low-Rank Adaptation With Deep Image Prior for Generative Low-Light Image Enhancement
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第4期6卷 909-920页
作者: Zhao, Zunjin Shi, Daming Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China
This article presents LoRaDIP, a novel low-light image enhancement (LLIE) model based on deep image priors (DIPs). While DIP-based enhancement models are known for their zero-shot learning, their expensive computation... 详细信息
来源: 评论
Attribute grouping-based naive Bayesian classifier
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science China(Information sciences) 2025年 第3期68卷 125-149页
作者: Yulin HE Guiliang OU Philippe FOURNIER-VIGER Joshua Zhexue HUANG Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) College of Computer Science & Software Engineering Shenzhen University
The naive Bayesian classifier(NBC) is a supervised machine learning algorithm having a simple model structure and good theoretical interpretability. However, the generalization performance of NBC is limited to a large... 详细信息
来源: 评论
A survey on cross-user federated recommendation
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science China(Information sciences) 2025年 第4期68卷 7-32页
作者: Enyue YANG Yudi XIONG Wei YUAN Weike PAN Qiang YANG Zhong MING College of Computer Science and Software Engineering Shenzhen University School of Electrical Engineering and Computer Science The University of Queensland WeBank AI Lab WeBank Department of Computer Science and Engineering Hong Kong University of Science and Technology College of Big Data and Internet Shenzhen Technology University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distri... 详细信息
来源: 评论
Successive Interference Cancellation-Enabled Timely Status Update in Linear Multi-Hop Wireless Networks
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IEEE Transactions on Mobile Computing 2025年 第6期24卷 5298-5311页
作者: Han, Xinhui Pan, Haoyuan Wang, Zhaorui Li, Jianqiang Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China Future Network of Intelligence Institute School of Science and Engineering Shenzhen518172 China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology College of Computer Science and Software Engineering Shenzhen518060 China
We investigate the timely status update in linear multi-hop wireless networks, where a source tries to deliver status update packets to a destination through a sequence of half-duplex relays. Timeliness is measured by... 详细信息
来源: 评论
Building LOD representation for 3D urban scenes
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ISPRS Journal of Photogrammetry and Remote Sensing 2025年 226卷 16-32页
作者: Pan, Shanshan Zhang, Runze Liu, Yilin Gong, Minglun Huang, Hui College of Computer Science and Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Guelph Guelph Canada
The advances in 3D reconstruction technology, such as photogrammetry and LiDAR scanning, have made it easier to reconstruct accurate and detailed 3D models for urban scenes. Nevertheless, these reconstructed models of... 详细信息
来源: 评论
Spectral Modality-Aware Interactive Fusion Network for HSI Super-Resolution  17th
Spectral Modality-Aware Interactive Fusion Network for HSI ...
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17th Asian Conference on computer Vision, ACCV 2024
作者: Xu, Meng Mao, Jiayou Mo, Ziqian Fu, Xiyou Jia, Sen College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Due to the limitations of current spectral imaging equipment in acquiring high-resolution hyperspectral images (HR-HSIs), a common approach is to fuse low-resolution hyperspectral images (LR-HSIs) with high-resolution... 详细信息
来源: 评论
SSTHyper: Sparse Spectral Transformer for Hyperspectral Image Reconstruction  17th
SSTHyper: Sparse Spectral Transformer for Hyperspectral Ima...
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17th Asian Conference on computer Vision, ACCV 2024
作者: Xu, Meng Lin, Mingying Ren, Qi Jia, Sen College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Transformer-based methods have improved the quality of hyperspectral images (HSIs) reconstructed from RGB by effectively capturing their remote relationships. The self-attention mechanisms in existing Transformer mode... 详细信息
来源: 评论
Leveraging computer Vision for Automatic Modulation Classification: Insights from Spectrum and Constellation Diagram Analysis  27th
Leveraging Computer Vision for Automatic Modulation Classifi...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhao, Wenjie Luo, Qiuming College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China
Automated modulation recognition is a challenging task in communication systems. Leveraging recent advancements in transfer learning, this paper proposes a novel method for automatic modulation recognition using trans... 详细信息
来源: 评论
Adaptive ROI Optimization Pyramid Network: Lane Detection for FSD under Data Uncertainty
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engineering Letters 2025年 第2期33卷 282-291页
作者: Cao, Xu Liu, Weisheng Wang, Zhijian College of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China College of Computer Science and Software Engineering University of Science and Technology Liaoning Co Anshan114051 China
To mitigate the challenges posed by data uncertainty in Full-Self Driving (FSD) systems. This paper proposes a novel feature extraction learning model called Adaptive Region of Interest Optimized Pyramid Network (ARO)... 详细信息
来源: 评论