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检索条件"机构=Key Laboratory of Computer Vision and Virtual Reality Technology"
748 条 记 录,以下是181-190 订阅
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Disentangling Local and Global Information for Light Field Depth Estimation
Disentangling Local and Global Information for Light Field D...
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2023 IEEE/CVF Conference on computer vision and Pattern Recognition Workshops, CVPRW 2023
作者: Yang, Xueting Deng, Junli Chen, Rongshan Cong, Ruixuan Ke, Wei Sheng, Hao Communication University of China School of Information and Communication Engineering Beijing100024 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang Hangzhou Innovation Institute Yuhang Xixi Octagon City Hangzhou310023 China Macao Polytechnic University Faculty of Applied Sciences 999078 China
Accurate depth estimation from light field images is essential for various applications. Deep learning-based techniques have shown great potential in addressing this problem while still face challenges such as sensiti... 详细信息
来源: 评论
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
arXiv
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arXiv 2023年
作者: Wang, Yin Leng, Zhiying Li, Frederick W.B. Wu, Shun-Cheng Liang, Xiaohui State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Technical University of Munich Germany Department of Computer Science University of Durham United Kingdom Zhongguancun Laboratory Beijing China
Text-driven human motion generation in computer vision is both significant and challenging. However, current methods are limited to producing either deterministic or imprecise motion sequences, failing to effectively ... 详细信息
来源: 评论
Dual Consistency Learning for Semi-Supervised Airway Segmentation
Dual Consistency Learning for Semi-Supervised Airway Segment...
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Mechatronics, IoT and Industrial Informatics (ICMIII), International Conference on
作者: Mingshuang Li Yunyi Yuan Qiong Wang Yinling Qian Lei Zhu Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Southern University of Science and Technology Shenzhen China Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen China The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China
Airway segmentation serves as an essential foundational process for both the diagnosis of lung conditions and the navigation of surgical interventions. Although numerous attempts have been proposed to address airway s... 详细信息
来源: 评论
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Dynamic Hyperbolic Attention Network for Fine Hand-object Re...
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International Conference on computer vision (ICCV)
作者: Zhiying Leng Shun-Cheng Wu Mahdi Saleh Antonio Montanaro Hao Yu Yin Wang Nassir Navab Xiaohui Liang Federico Tombari State Key Laboratory of Virtual Reality Technology and Systems Beihang University China Computer Aided Medical Procedures Technical University of Munich Germany Politecnico di Torino Italy Zhongguancun Laboratory Beijing China
Reconstructing both objects and hands in 3D from a single RGB image is complex. Existing methods rely on manually defined hand-object constraints in Euclidean space, leading to suboptimal feature learning. Compared wi...
来源: 评论
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
arXiv
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arXiv 2023年
作者: Leng, Zhiying Wu, Shun-Cheng Saleh, Mahdi Montanaro, Antonio Yu, Hao Wang, Yin Navab, Nassir Liang, Xiaohui Tombari, Federico State Key Laboratory of Virtual Reality Technology and Systems Beihang University China Computer Aided Medical Procedures Technical University of Munich Germany Politecnico di Torino Italy Zhongguancun Laboratory Beijing China
Reconstructing both objects and hands in 3D from a single RGB image is complex. Existing methods rely on manually defined hand-object constraints in Euclidean space, leading to suboptimal feature learning. Compared wi... 详细信息
来源: 评论
A New Dynamic Routing Network for Monocular Depth Estimation  12
A New Dynamic Routing Network for Monocular Depth Estimation
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12th International Conference on CYBER technology in Automation, Control, and Intelligent Systems, CYBER 2022
作者: Luo, Zhehao Luo, Sijin Liang, Guoyuan Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Chinese Academy of Sciences Guangdong Province Shenzhen China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China
Depth estimation is an essential task for understanding the geometry of 3D scenes. Compared with multi-view-based methods, monocular depth estimation is more challenging for the requirement of integrating not only glo... 详细信息
来源: 评论
Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning
arXiv
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arXiv 2024年
作者: Jiang, Xiruo Yao, Yazhou Liu, Sheng Shen, Fumin Nie, Liqiang Hua, Xian-Sheng The School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China The State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China The School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Shenzhen China The Terminus Group Beijing China
Loss functions and sample mining strategies are essential components in deep metric learning algorithms. However, the existing loss function or mining strategy often necessitate the incorporation of additional hyperpa... 详细信息
来源: 评论
GCFormer: Granger Causality based Attention Mechanism for Multivariate Time Series Anomaly Detection
GCFormer: Granger Causality based Attention Mechanism for Mu...
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IEEE International Conference on Data Mining (ICDM)
作者: Shiwang Xing Jianwei Niu Tao Ren State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China Zhongguancun Laboratory Beijing China Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences China
Multivariate time series anomaly detection, crucial for ensuring the safety of real-world systems, primarily focuses on extracting characteristics from time series under normal condition, and identifying potential ano...
来源: 评论
Read, Spell and Repeat: Scene Text Recognition with vision-Language Circular Refinement
Read, Spell and Repeat: Scene Text Recognition with Vision-L...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Taiwei Zhang Zhenghui Hu Weixin Li Qingjie Liu Yunhong Wang Hangzhou Innovation Institute Beihang University Hangzhou China Shanghai Artificial Intelligence Laboratory Shanghai China School of Computer Science and Engineering Beihang University Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China
Scene Text Recognition (STR) has long been considered an important yet challenging task in the field of computer vision. Recent works have demonstrated that utilizing language information is effective for the visually...
来源: 评论
Separating Content and Style for Unsupervised Image-to-Image Translation  32
Separating Content and Style for Unsupervised Image-to-Image...
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32nd British Machine vision Conference, BMVC 2021
作者: Liu, Yunfei Wang, Haofei Yue, Yang Lu, Feng State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China Peng Cheng Laboratory Shenzhen China Beihang University Beijing China
Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples. Existing works focus on disentangling domain-invariant content code and domain-specific style code in... 详细信息
来源: 评论