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检索条件"机构=State Key Lab Virtual Reality Technology and Systems"
1570 条 记 录,以下是41-50 订阅
排序:
Zero-Shot Image Harmonization with Generative Model Prior
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IEEE Transactions on Multimedia 2025年
作者: Chen, Jianqi Zhang, Yilan Zou, Zhengxia Chen, keyan Shi, Zhenwei Beihang University Image Processing Center School of Astronautics Beijing100191 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Astronautics Beijing100191 China Beihang University Department of Guidance Navigation and Control School of Astronautics Beijing100191 China
We propose a zero-shot approach to image harmonization, aiming to overcome the reliance on large amounts of synthetic composite images in existing methods. These methods, while showing promising results, involve signi... 详细信息
来源: 评论
Audio-visual aware Foveated Rendering
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IEEE Transactions on Visualization and Computer Graphics 2025年 PP卷 PP页
作者: Shi, Xuehuai Li, Yucheng Li, Jiaheng Wu, Jian Yin, Jieming Chen, Xiaobai Wang, Lili Nanjing University of Posts and Telecommunications School of Computer Science Jiangsu 210023 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang University School of Computer Science and Engineering Beijing100191 China
With the increasing complexity of geometry and rendering effects in virtual reality (VR) scenes, existing foveated rendering methods for VR head-mounted displays (HMDs) struggle to meet users' demands for VR scene... 详细信息
来源: 评论
CR-Famba: A Frequency-Domain Assisted Mamba for Thin Cloud Removal in Optical Remote Sensing Imagery
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IEEE Transactions on Multimedia 2025年
作者: Liu, Jiao Pan, Bin Shi, Zhenwei Nankai University TKLNDST College of Computer Science Tianjin300350 China Nankai University School of Statistics and Data Science KLMDASR LEBPS LPMC Tianjin300071 China Beihang University Image Processing Center School of Astronautics the State Key Laboratory of Virtual Reality Technology and Systems Beijing100191 China
Optical remote sensing images are inevitably affected by cloud cover. To remove clouds from optical remote sensing images, a series of deep learning-based thin cloud removal methods have been developed. However, these... 详细信息
来源: 评论
Morphology and Volume Estimation of the Amniotic Sac Based on MRI Image Analysis: Construction of a Knowledge Graph for Risk Assessment of Premature Rupture of Membranes
SSRN
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SSRN 2025年
作者: Zhang, Tong Zhang, Yan Li, Shuai Cheng, Yongfeng Xiao, Yuntian Zhao, Zilong Institute of Solid Mechanics School of Aeronautics Sciences and Engineering Beihang University Beijing100083 China Obstetrics and Gynecology Department Peking University Third Hospital Beijing100191 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University China
Achieving the quantification of the amniotic sac's volume and the visualization of its morphology provides a starting point for constructing the PROM knowledge ***, the Magnetic Resonance Imaging (MRI) scan data i... 详细信息
来源: 评论
UNeLF: Unconstrained Neural Light Field for Self-Supervised Angular Super-Resolution
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IEEE Transactions on Circuits and systems for Video technology 2025年
作者: Zhao, Mingyuan Sheng, Hao Chen, Rongshan Cong, Ruixuan Cui, Zhenglong Yang, Da Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang University Data Science and Intelligent Computing Laboratory Hangzhou International Innovation Institute Hangzhou311115 China Macao Polytechnic University Faculty of Applied Sciences 999078 China
Compared to supervised learning methods, self-supervised learning methods address the domain gap problem between light field (LF) datasets collected under varying acquisition conditions, which typically leads to decre... 详细信息
来源: 评论
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
arXiv
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arXiv 2025年
作者: Zhang, Zongye Cai, Wenrui Liu, Qingjie Wang, Yunhong State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China
While current skeleton action recognition models demonstrate impressive performance on large-scale datasets, their adaptation to new application scenarios remains challenging. These challenges are particularly pronoun... 详细信息
来源: 评论
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset
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Computerized Medical Imaging and Graphics 2025年 123卷 102566-102566页
作者: Wang, Yinuo Guo, Tao Yuan, Weimin Shu, Shihao Meng, Cai Bai, Xiangzhi Image Processing Center Beihang University Beijing100191 China Thuwal23955-6900 Saudi Arabia State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technology Ministry of Education Beijing100191 China Vision-BHU Joint AI+Computing Optics Laboratory Beijing100191 China
Deformable registration is essential in medical image analysis, especially for handling various multi- and mono-modal registration tasks in neuroimaging. Existing studies lack exploration of brain MR-CT registration, ... 详细信息
来源: 评论
Light Space Cascaded Shadow Maps Algorithm for Real Time Rendering
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Journal of Computer Science & technology 2011年 第1期26卷 176-186页
作者: 梁晓辉 马上 岑丽霞 于卓 State Key Lab.of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang University
Owing to its generality and efficiency, Cascaded Shadow Maps (CSMs) has an important role in real-time shadow rendering in large scale and complex virtual environments. However, CSMs suffers from redundant rendering... 详细信息
来源: 评论
Towards Depth-continuous Scene Representation with Displacement Field for Robust Light Field Depth Estimation
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IEEE Transactions on Multimedia 2025年
作者: Chen, Rongshan Sheng, Hao Yang, Da Cong, Ruixuan Cui, Zhenglong Wang, Sizhe Wang, Tun Zhao, Mingyuan Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang University Key Laboratory of Data Science and Intelligent Computing International Innovation Institute 166 Shuanghongqiao Street Pingyao Town Yuhang District Hangzhou31 1115 China Macao Polytechnic University Faculty of Applied Sciences Macao999078 China
The light field (LF) captures both the spatial and angular information of scenes, enabling accurate depth estimation. However, previous deep learning methods typically model surface depth only while ignoring the conti... 详细信息
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Biologically adaptive robust mean shift algorithm with Cauchy predator-prey BBO and space variant resolution for unmanned helicopter formation
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Science China(Information Sciences) 2014年 第11期57卷 195-207页
作者: WANG XiaoHua DUAN HaiBin State Key Laboratory of Virtual Reality Technology and Systems Beihang University
Visual tracking technology can provide measurement information for unmanned helicopter formation and thus, more attention is being paid to this research area. We propose a novel mean shift(MS) algorithm that is both a... 详细信息
来源: 评论