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检索条件"机构=Guangdong Key Lab of Multimodal Big Data Intelligent Analysis"
18 条 记 录,以下是1-10 订阅
排序:
Image debanding using cross-scale invertible networks with banded deformable convolutions
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NEURAL NETWORKS 2025年 187卷 107270页
作者: Quan, Yuhui He, Xuyi Xu, Ruotao Xu, Yong Ji, Hui South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Peoples R China South China Univ Technol Inst Super Robot Guangzhou Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Guangzhou Peoples R China Peng Cheng Lab Shenzhen Peoples R China Guangdong Prov Key Lab Multimodal Big Data Intelli Guangzhou Peoples R China Natl Univ Singapore Dept Math Singapore Singapore
Banding artifacts in images stem from limitations in color bit depth, image compression, or over-editing, significantly degrades image quality, especially in regions with smooth gradients. Image debanding is about eli... 详细信息
来源: 评论
Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study
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JOURNAL OF PSYCHIATRIC RESEARCH 2025年 182卷 304-311页
作者: Hu, Jinlong Hou, Yaqian Peng, Bo Liao, Bin Xu, Ziyun Hou, Gangqiang Dong, Shoubin South China Univ Technol Sch Comp Sci & Engn Guangdong Key Lab Multimodal Big Data Intelligent Guangzhou Peoples R China Shenzhen Kangning Hosp Shenzhen Mental Hlth Ctr Dept Depress Disorder Shenzhen Peoples R China South China Agr Univ Coll Math & Informat Guangzhou Peoples R China Shenzhen Kangning Hosp Shenzhen Mental Hlth Ctr Dept Radiol Shenzhen Peoples R China
Magnetic resonance imaging (MRI) offers non-invasive assessments of brain structure and function for analyzing brain disorders. With the increasing accumulation of multimodal MRI data in recent years, integrating info... 详细信息
来源: 评论
Adaptive disentangled target representation for unsupervised domain adaptation in remote sensing segmentation
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Engineering Applications of Artificial Intelligence 2025年 156卷
作者: Lu, Runuo Dong, Shoubin Jia, Jianxin Wang, Xusheng Liu, Kai Chen, Jinsong Guo, Shanxin Zheng, Xiaorou Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis School of Computer Science and Engineering South China University of Technology Guangzhou510641 China Department of Photogrammetry and Remote Sensing Finnish Geospatial Research Institute EspooFI-02150 Finland Center for Geo-Spatial Information Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Shenzhen Engineering Laboratory of Ocean Environmental Big Data Analysis and Application Shenzhen518055 China
Due to the significant differences between the source and target domains, semantic segmentation models for remote sensing images trained on the source domain often struggle to generalize effectively to new target doma... 详细信息
来源: 评论
Towards reliable and damage-less robotic fragile fruit grasping: An enveloping gripper with multimodal strategy inspired by Asian elephant trunk
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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2025年 234卷
作者: Wang, Qingyu Bai, Kaixin Zhang, Lei Sun, Zhizhong Jia, Tianze Hu, Dong Li, Qiang Zhang, Jianwei Knoll, Alois Jiang, Huanyu Zhou, Mingchuan Ying, Yibin Zhejiang Univ Coll Biosyst Engn & Food Sci Hangzhou 310058 Zhejiang Peoples R China Zhejiang Univ Zhejiang Key Lab Intelligent Sensing & Robot Agr Hangzhou 310058 Peoples R China Minist Agr & Rural Affairs Key Lab Site Proc Equipment Agr Prod Beijing 310058 Peoples R China Univ Hamburg Dept Informat TAMS Tech Aspects Multimodal Syst D-22527 Hamburg Germany Agile Robots D-81477 Munich Germany Zhejiang A&F Univ Coll Chem & Mat Engn Hangzhou 311300 Zhejiang Peoples R China Zhejiang A&F Univ Coll Opt Mech & Elect Engn Hangzhou 311300 Zhejiang Peoples R China Shenzhen Technol Univ Coll Big Data & Internet Shenzhen 518118 Guangdong Peoples R China Tech Univ Munich Dept Comp Sci D-999035 Munich Germany
Fruit uploading and packaging are labor-intensive and time-consuming steps in postharvest industry, which involve continuous pick-and-place manipulation. In this case, we aim to replace manual working with robotic gra... 详细信息
来源: 评论
UniAdapter: All-in-One Control for Flexible Video Generation
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Wang, Cong Hu, Panwen Zhao, Haoyu Guo, Yuanfan Gu, Jiaxi Dong, Xiao Han, Jianhua Xu, Hang Liang, Xiaodan Chinese University of Hong Kong Hong Kong School of Science and Engineering Shenzhen China Fudan University School of Computer Science and Technology Shanghai China Huawei Noah'ark Lab Shanghai201206 China Sun Yat-Sen University School of Artificial Intelligence Zhuhai Campus Zhuhai519082 China Shenzhen Campus of Sun Yat-sen University School of Intelligent Systems Engineering Guangdong No. 66 Gongchang Road Guangming District Shenzhen518107 China Peng Cheng Laboratory and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou510006 China
Condition-based video generation aims to create video content based on given information that describes specific subjects. However, most existing works can only utilize a single condition to guide the denoising proces... 详细信息
来源: 评论
Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks  24
Enhancing Underwater Images via Asymmetric Multi-Scale Inver...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Quan, Yuhui Tan, Xiaoheng Huang, Yan Xu, Yong Ji, Hui South China University of Technology Guangzhou China National University of Singapore Singapore Singapore Pazhou Lab Guangzhou China Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis Guangzhou China
Underwater images, often plagued by complex degradation, pose significant challenges for image enhancement. To address these challenges, the paper redefines underwater image enhancement as an image decomposition probl... 详细信息
来源: 评论
A Multi-Stream Structure-Enhanced Network for Mesh Denoising
A Multi-Stream Structure-Enhanced Network for Mesh Denoising
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Yang, Yutian Liang, Lingyu Yan, Jie Xu, Yong South China University of Technology Guangzhou510641 China Henan Key Laboratory of Chronic Disease Prevention and Therapy & Intelligent Health Management Henan China Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis 510641 China
Triangular meshes provide an efficient representation of 3D shapes. Various applications such as 3D simulation suffer from degradation in geometric quality. This paper proposes a novel Multi-stream Structure-Enhanced ... 详细信息
来源: 评论
MBFusion: Multi-modal balanced fusion and multi-task learning for cancer diagnosis and prognosis
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Computers in Biology and Medicine 2024年 181卷 109042-109042页
作者: Zhang, Ziye Yin, Wendong Wang, Shijin Zheng, Xiaorou Dong, Shoubin Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis School of Computer Science and Engineering South China University of Technology Guangdong Guangzhou510641 China
Pathological images and molecular omics are important information for predicting diagnosis and prognosis. The two kinds of heterogeneous modal data contain complementary information, and the effective fusion of the tw... 详细信息
来源: 评论
DCSim: Computing and Networking Integration based Container Scheduling Simulator for data Centers
arXiv
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arXiv 2024年
作者: Hu, Jinlong Rao, Zhizhe Liu, Xingchen Deng, Lihao Dong, Shoubin Guangdong Key Lab of Multimodal Big Data Intelligent Analysis School of Computer Science and Engineering South China University of Technology Guangzhou China
The increasing prevalence of cloud-native technologies, particularly containers, has led to the widespread adoption of containerized deployments in data centers. The advancement of deep neural network models has incre... 详细信息
来源: 评论
Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification
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International Journal of Applied Earth Observation and Geoinformation 2025年 141卷
作者: Xiaorou Zheng Jianxin Jia Shoubin Dong Yawei Wang Runuo Lu Yuwei Chen Yueming Wang Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China Department of Photogrammetry and Remote Sensing Finnish Geospatial Research Institute FI-02150 Espoo Finland Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou 311100 Guangdong China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 310024 Zhejiang China The Advanced Laser Technology Laboratory of Anhui Province Hefei 230037 China Key Laboratory of Space Active Opto-Electronics Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
The increasing complexity and scale of remote sensing datasets, coupled with the challenges of accurately estimating algorithmic time efficiency, often lead to significant resource waste or even failure when using mac... 详细信息
来源: 评论