咨询与建议

限定检索结果

文献类型

  • 294 篇 期刊文献
  • 199 篇 会议

馆藏范围

  • 493 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 347 篇 工学
    • 239 篇 计算机科学与技术...
    • 226 篇 软件工程
    • 85 篇 信息与通信工程
    • 80 篇 生物工程
    • 71 篇 光学工程
    • 59 篇 控制科学与工程
    • 53 篇 生物医学工程(可授...
    • 31 篇 化学工程与技术
    • 27 篇 机械工程
    • 24 篇 电气工程
    • 18 篇 电子科学与技术(可...
    • 17 篇 仪器科学与技术
    • 14 篇 建筑学
    • 11 篇 土木工程
    • 10 篇 安全科学与工程
    • 9 篇 材料科学与工程(可...
    • 8 篇 交通运输工程
  • 207 篇 理学
    • 82 篇 生物学
    • 78 篇 物理学
    • 72 篇 数学
    • 29 篇 统计学(可授理学、...
    • 28 篇 化学
    • 8 篇 系统科学
  • 78 篇 管理学
    • 47 篇 图书情报与档案管...
    • 39 篇 管理科学与工程(可...
    • 14 篇 工商管理
  • 33 篇 医学
    • 32 篇 临床医学
    • 28 篇 基础医学(可授医学...
    • 20 篇 药学(可授医学、理...
  • 8 篇 法学
    • 8 篇 社会学
  • 5 篇 教育学
  • 4 篇 经济学
  • 3 篇 农学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 18 篇 convolution
  • 14 篇 image reconstruc...
  • 14 篇 training
  • 11 篇 generative adver...
  • 11 篇 face recognition
  • 10 篇 object detection
  • 10 篇 semantics
  • 10 篇 computer vision
  • 9 篇 image segmentati...
  • 8 篇 semantic segment...
  • 8 篇 distillation
  • 8 篇 three-dimensiona...
  • 8 篇 codes
  • 7 篇 deep neural netw...
  • 7 篇 cameras
  • 7 篇 computational mo...
  • 7 篇 visualization
  • 7 篇 feature extracti...
  • 7 篇 machine learning
  • 7 篇 forecasting

机构

  • 53 篇 university of ch...
  • 43 篇 shenzhen institu...
  • 39 篇 guangdong provin...
  • 29 篇 guangdong key la...
  • 27 篇 national enginee...
  • 23 篇 siat branch shen...
  • 22 篇 shanghai ai labo...
  • 21 篇 college of compu...
  • 21 篇 shenzhen key lab...
  • 18 篇 institutes for r...
  • 17 篇 shenzhen key lab...
  • 17 篇 shanghai artific...
  • 16 篇 computer vision ...
  • 16 篇 shenzhen key lab...
  • 16 篇 the chinese univ...
  • 15 篇 sensetime resear...
  • 15 篇 guangdong provin...
  • 14 篇 department of co...
  • 14 篇 chinese universi...
  • 13 篇 guangdong key la...

作者

  • 55 篇 shen linlin
  • 46 篇 qiao yu
  • 37 篇 heng pheng-ann
  • 20 篇 chen chen
  • 19 篇 dong chao
  • 18 篇 wang yali
  • 16 篇 zhang hong
  • 16 篇 linlin shen
  • 15 篇 xie weicheng
  • 14 篇 liu mengyuan
  • 13 篇 meng max q.-h.
  • 13 篇 chen hao
  • 13 篇 yu qiao
  • 13 篇 wang qiong
  • 12 篇 qiu guoping
  • 12 篇 fu chi-wing
  • 11 篇 timofte radu
  • 11 篇 song siyang
  • 11 篇 chen xiangyu
  • 10 篇 yu lequan

语言

  • 462 篇 英文
  • 30 篇 其他
  • 1 篇 中文
检索条件"机构=Shenzhen Key Laboratory of Robotics and Computer Vision"
493 条 记 录,以下是71-80 订阅
排序:
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: He, Weizhao Zhang, Yang Zhuo, Wei Shen, Linlin Yang, Jiaqi Deng, Songhe Sun, Liang Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China School of Computer Science University of Nottingham China
Few-shot semantic segmentation (FSS) endeavors to segment unseen classes with only a few labeled samples. Current FSS methods are commonly built on the assumption that their training and application scenarios share si... 详细信息
来源: 评论
SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Lin, Zhenchao He, Li Yang, Hongqiang Sun, Xiaoqun Zhang, Guojin Chen, Weinan Guan, Yisheng Zhang, Hong School of Electromechanical Engineering Guangdong University of Technology Guangzhou China Department of Electronic and Electrical Engineering Southern University of Science and Technology China Shenzhen Key Laboratory of Robotics and Computer Vision China Meituan Technology Co. Ltd Shenzhen China
Large-scale point cloud consists of a multitude of individual objects, thereby encompassing rich structural and underlying semantic contextual information, resulting in a challenging problem in efficiently segmenting ... 详细信息
来源: 评论
Shearlet-Based Structure-Aware Filtering for Hyperspectral and LiDAR Data Classification
收藏 引用
Journal of Remote Sensing 2021年 第1期2021卷 237-261页
作者: Sen Jia Zhangwei Zhan Meng Xu College of Computer Science and Software Engineering Shenzhen UniversityShenzhenChina Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources Shenzhen UniversityShenzhenChina SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhenChina
The joint interpretation of hyperspectral images(HSIs)and light detection and ranging(LiDAR)data has developed rapidly in recent years due to continuously evolving image processing ***,most feature extraction methods ... 详细信息
来源: 评论
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
arXiv
收藏 引用
arXiv 2022年
作者: Chen, Guangcheng He, Li Guan, Yisheng Zhang, Hong Guangdong University of Technology Guangzhou China Southern University of Science and Technology Shenzhen China Shenzhen Key Laboratory of Robotics and Computer Vision China
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption. In the case of a large field ... 详细信息
来源: 评论
Poster: Towards Accurate and Fast Federated Learning in End-Edge-Cloud Orchestrated Networks  43
Poster: Towards Accurate and Fast Federated Learning in End-...
收藏 引用
43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023
作者: Li, Mingze Sun, Peng Zhou, Huan Zhao, Liang Liu, Xuxun Leung, Victor C. M. College of Computer and Information Technology China Three Gorges University Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering Yichang China College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electronic and Information Engineering South China University of Technology Guangzhou China College of Computer Science and Software Engineering Shenzhen University Shenzhen China
This work proposes a novel three-layer federated learning (FL) framework with parameter selection and pre-synchronization (PSPFL) to achieve fast and accurate model training. The basic idea of PSPFL is that clients se... 详细信息
来源: 评论
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement
arXiv
收藏 引用
arXiv 2024年
作者: Wu, Xu Hou, XianXu Lai, Zhihui Zhou, Jie Zhang, Ya-Nan Pedrycz, Witold Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Guangdong Shenzhen518060 China The Department of Electrical & Computer Engineering University of Alberta University of Alberta Canada
Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness degradations;(2) loss of texture and co... 详细信息
来源: 评论
Ontology-Based BERT Model for Automated Information Extraction from Geological Hazard Reports
收藏 引用
Journal of Earth Science 2023年 第5期34卷 1390-1405页
作者: Kai Ma Miao Tian Yongjian Tan Qinjun Qiu Zhong Xie Rong Huang Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang 443002China College of Computer and Information Technology China Three Gorges UniversityYichang 443002China Hubei Engineering Technology Research Center for Farmland Environment Monitoring China Three Gorges UniversityYichang 443002China School of Computer Science China University of GeosciencesWuhan 430074China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034China Beijing Key Laboratory of Urban Spatial Information Engineering Beijing 100045China College of Economics and Management China Three Gorges UniversityYichang 443002China
Geological knowledge can provide support for knowledge discovery, knowledge inference and mineralization predictions of geological big data. Entity identification and relationship extraction from geological data descr... 详细信息
来源: 评论
Image saliency detection method based on multi-feature maps fusion  4
Image saliency detection method based on multi-feature maps ...
收藏 引用
4th International Conference on computer Graphics, Image, and Virtualization, ICCGIV 2024
作者: Li, Xiaoli Liu, Yunpeng Zhao, Huaici Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Shenyang China The Key Lab of Image Understanding and Computer Vision Shenyang China Shenyang Jianzhu University Shenyang China
In this research, we introduce an innovative saliency detection algorithm, comprising three essential steps. Firstly, leveraging fully convolutional networks with aggregation interaction modules, we generate an initia... 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
收藏 引用
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