咨询与建议

限定检索结果

文献类型

  • 186 篇 会议
  • 112 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 299 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 214 篇 工学
    • 141 篇 计算机科学与技术...
    • 132 篇 软件工程
    • 59 篇 信息与通信工程
    • 41 篇 光学工程
    • 30 篇 生物工程
    • 25 篇 生物医学工程(可授...
    • 24 篇 控制科学与工程
    • 20 篇 机械工程
    • 10 篇 化学工程与技术
    • 9 篇 电子科学与技术(可...
    • 7 篇 仪器科学与技术
    • 7 篇 电气工程
    • 6 篇 建筑学
    • 5 篇 安全科学与工程
    • 4 篇 力学(可授工学、理...
    • 4 篇 材料科学与工程(可...
    • 4 篇 土木工程
    • 4 篇 交通运输工程
  • 136 篇 理学
    • 61 篇 数学
    • 56 篇 物理学
    • 32 篇 生物学
    • 13 篇 统计学(可授理学、...
    • 11 篇 化学
    • 8 篇 系统科学
  • 56 篇 管理学
    • 41 篇 图书情报与档案管...
    • 17 篇 管理科学与工程(可...
  • 10 篇 医学
    • 9 篇 临床医学
    • 8 篇 基础医学(可授医学...
    • 8 篇 药学(可授医学、理...
  • 8 篇 法学
    • 8 篇 社会学
  • 3 篇 艺术学
  • 2 篇 教育学
  • 1 篇 文学

主题

  • 17 篇 feature extracti...
  • 15 篇 image segmentati...
  • 15 篇 convolution
  • 13 篇 semantics
  • 12 篇 image reconstruc...
  • 11 篇 computer vision
  • 10 篇 image edge detec...
  • 9 篇 image color anal...
  • 8 篇 face recognition
  • 7 篇 generative adver...
  • 7 篇 three-dimensiona...
  • 7 篇 face
  • 7 篇 training
  • 6 篇 pixels
  • 6 篇 shape
  • 5 篇 writing
  • 5 篇 pattern recognit...
  • 4 篇 image enhancemen...
  • 4 篇 support vector m...
  • 4 篇 semantic segment...

机构

  • 40 篇 university of ch...
  • 40 篇 shenzhen key lab...
  • 31 篇 national key lab...
  • 31 篇 computer vision ...
  • 26 篇 shenzhen key lab...
  • 22 篇 faculty of compu...
  • 21 篇 siat branch shen...
  • 19 篇 shanghai ai labo...
  • 16 篇 sensetime resear...
  • 16 篇 shenzhen key lab...
  • 11 篇 shanghai artific...
  • 8 篇 shanghai ai lab
  • 8 篇 the chinese univ...
  • 7 篇 department of st...
  • 7 篇 the university o...
  • 6 篇 shanghai jiao to...
  • 6 篇 shenzhen key lab...
  • 6 篇 university of ma...
  • 6 篇 guangzhou power ...
  • 5 篇 arc lab tencent ...

作者

  • 59 篇 qiao yu
  • 27 篇 yu qiao
  • 27 篇 dong chao
  • 19 篇 pal umapada
  • 17 篇 umapada pal
  • 17 篇 wang yali
  • 17 篇 lu tong
  • 16 篇 tong lu
  • 16 篇 palaiahnakote sh...
  • 15 篇 maier andreas
  • 15 篇 shivakumara pala...
  • 11 篇 chao dong
  • 10 篇 he junjun
  • 9 篇 chen xiangyu
  • 9 篇 gu jinjin
  • 9 篇 peng xiaojiang
  • 8 篇 chen shifeng
  • 8 篇 ren jimmy s.
  • 7 篇 blumenstein mich...
  • 7 篇 zhou zhipeng

语言

  • 292 篇 英文
  • 6 篇 其他
  • 1 篇 中文
检索条件"机构=Computer Vision and Pattern Recognition Lab."
299 条 记 录,以下是281-290 订阅
排序:
Decorrelation of neutral vector variables: Theory and applications
arXiv
收藏 引用
arXiv 2017年
作者: Ma, Zhanyu Xue, Jing-Hao Leijon, Arne Tan, Zheng-Hua Yang, Zhen Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China Department of Statistical Science University College London London United Kingdom School of Electrical Engineering Kth - Royal Institute of Technology Stockholm Sweden Department of Electronic Systems Aalborg University Aalborg Denmark College of Computer Science Beijing University of Technology Beijing China
In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely serial nonlinear transformation and parallel nonlinear transformation, are propo... 详细信息
来源: 评论
Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric
arXiv
收藏 引用
arXiv 2020年
作者: Gu, Jinjin Cai, Haoming Chen, Haoyu Ye, Xiaoxing Ren, Jimmy S. Dong, Chao School of Electrical and Information Engineering University of Sydney Australia Chinese University of Hong Kong Shenzhen Hong Kong ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences SenseTime Research Qing Yuan Research Institute Shanghai Jiao Tong University Shanghai China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent perceptual IR algorithms based on generative adversarial networks (GANs) have brought in ... 详细信息
来源: 评论
UniFormer: Unifying Convolution and Self-attention for Visual recognition
arXiv
收藏 引用
arXiv 2022年
作者: Li, Kunchang Wang, Yali Zhang, Junhao Gao, Peng Song, Guanglu Liu, Yu Li, Hongsheng Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China National University of Singapore Singapore Shanghai Artificial Intelligence Laboratory China SenseTime Research China The Chinese University of Hong Kong Hong Kong
It is a challenging task to learn discriminative representation from images and videos, due to large local redundancy and complex global dependency in these visual data. Convolution neural networks (CNNs) and vision t... 详细信息
来源: 评论
AIM 2020 Challenge on Image Extreme Inpainting  16th
AIM 2020 Challenge on Image Extreme Inpainting
收藏 引用
Workshops held at the 16th European Conference on computer vision, ECCV 2020
作者: Ntavelis, Evangelos Romero, Andrés Bigdeli, Siavash Timofte, Radu Hui, Zheng Wang, Xiumei Gao, Xinbo Shin, Chajin Kim, Taeoh Son, Hanbin Lee, Sangyoun Li, Chao Li, Fu He, Dongliang Wen, Shilei Ding, Errui Bai, Mengmeng Li, Shuchen Zeng, Yu Lin, Zhe Yang, Jimei Zhang, Jianming Shechtman, Eli Lu, Huchuan Zeng, Weijian Ni, Haopeng Cai, Yiyang Li, Chenghua Xu, Dejia Wu, Haoning Han, Yu Nadim, Uddin S. M. Jang, Hae Woong Ahmed, Soikat Hasan Yoon, Jungmin Jung, Yong Ju Li, Chu-Tak Liu, Zhi-Song Wang, Li-Wen Siu, Wan-Chi Lun, Daniel P. K. Suin, Maitreya Purohit, Kuldeep Rajagopalan, A.N. Narang, Pratik Mandal, Murari Chauhan, Pranjal Singh Computer Vision Lab ETH Zürich Zürich Switzerland CSEM Neuchâtel Switzerland School of Electronic Engineering Xidian University Xi’an China Image and Video Pattern Recognition Laboratory School of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of Baidu Inc. Beijing China Beijing China Dalian University of Technology Dalian China Adobe San Jose United States Rensselaer Polytechnic Institute Troy United States Peking University Beijing China Lab Gachon University Seongnam Korea Republic of Centre for Multimedia Signal Processing Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong China Indian Institute of Technology Madras Chennai India BITS Pilani Pilani India MNIT Jaipur Jaipur India
This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and semanti... 详细信息
来源: 评论
Occlusion Boundary Prediction and Transformer Based Depth-Map Refinement From Single Image
收藏 引用
ACM Transactions on Multimedia Computing, Communications, and Applications 1000年
作者: Praful Hambarde Gourav Wadhwa Santosh Kumar Vipparthi Subrahmanyam Murala Abhinav Dhall Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar India ByteDance Singapore School of Computer Science and Statistics Trinity College Dublin Ireland Flinders University Adelaide Australia
Due to the numerous applications of boundary maps and occlusion orientation maps (ORI-maps) in high-level vision problems, accurate estimation of these maps is a crucial task. The existing deep networks employ a singl... 详细信息
来源: 评论
Application of a genetic algorithm in triangulation of a 3-D object surface
收藏 引用
International Journal of computers and Applications 2000年 第2期22卷 73-77页
作者: Zhenyu, Chen Mbede, J.B. Yan, Zhou Dehua, Li Hanping, Hu State Commn. Res. Open Lab. Image P. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Intelligent Contr. and Robotics Lab. Dept. of Contr. Sci. and Engineering Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Second Artillery Institute Huazhong Univ. of Sci. and Technol. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. Second Artillery Institute China Wuhan University China Artificial Intelligence Department University of Edinburgh Inst. of AI and Pattern Recognition Huazhong Univ. of Sci. and Technol. China Cogn. Sci. Natl. Key Found. Res. P. Douala University Cameroon Tübingen University Germany Automatic Control Laboratory Darmstadt University Department of Service Cameroon Min. of National Education Robotics Laboratory Huazhong Univ. of Sci. and Technol. Wuhan China Assoc. Connectionnistes These-ACTH Rennes France IEEE Soc. of Robotics and Automation IEEE Society of Control Systems IASTED Assoc. Jeunes Chercheurs Robotique France Navy University of Engineering China Huazhong Univ. of Sci. and Technol. China Department of Computer Science Airforce Radar Acad. of Engineering China Inst. of P.R and AI Huazhong Univ. of Sci. and Technol.
This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ... 详细信息
来源: 评论
NTIRE 2023 Image Shadow Removal Challenge Report
NTIRE 2023 Image Shadow Removal Challenge Report
收藏 引用
2023 IEEE/CVF Conference on computer vision and pattern recognition Workshops, CVPRW 2023
作者: Vasluianu, Florin-Alexandru Seizinger, Tim Timofte, Radu Cui, Shuhao Huang, Junshi Tian, Shuman Fan, Mingyuan Zhang, Jiaqi Zhu, Li Wei, Xiaoming Wei, Xiaolin Luo, Ziwei Gustafsson, Fredrik K. Zhao, Zheng Sjölund, Jens Schön, Thomas B. Dong, Xiaoyi Zhang, Xi Sheryl Li, Chenghua Leng, Cong Yeo, Woon-Ha Oh, Wang-Taek Lee, Yeo-Reum Ryu, Han-Cheol Luo, Jinting Jiang, Chengzhi Han, Mingyan Wu, Qi Lin, Wenjie Yu, Lei Li, Xinpeng Jiang, Ting Fan, Haoqiang Liu, Shuaicheng Xu, Shuning Song, Binbin Chen, Xiangyu Zhang, Shile Zhou, Jiantao Zhang, Zhao Zhao, Suiyi Zheng, Huan Gao, Yangcheng Wei, Yanyan Wang, Bo Ren, Jiahuan Luo, Yan Kondo, Yuki Miyata, Riku Yasue, Fuma Naruki, Taito Ukita, Norimichi Chang, Hua-En Yang, Hao-Hsiang Chen, Yi-Chung Chiang, Yuan-Chun Huang, Zhi-Kai Chen, Wei-Ting Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Xianwei, Li Fu, Huiyuan Liu, Chunlin Ma, Huadong Fu, Binglan He, Huiming Wang, Mengjia She, Wenxuan Liu, Yu Nathan, Sabari Kansal, Priya Zhang, Zhongjian Yang, Huabin Wang, Yan Zhang, Yanru Phutke, Shruti S. Kulkarni, Ashutosh Khan, Md Raqib Murala, Subrahmanyam Vipparthi, Santosh Kumar Ye, Heng Liu, Zixi Yang, Xingyi Liu, Songhua Wu, Yinwei Jing, Yongcheng Yu, Qianhao Zheng, Naishan Huang, Jie Long, Yuhang Yao, Mingde Zhao, Feng Zhao, Bowen Ye, Nan Shen, Ning Cao, Yanpeng Xiong, Tong Xia, Weiran Li, Dingwen Xia, Shuchen Computer Vision Lab Ifi Caidas University of Würzburg Germany Computer Vision Lab Eth Zürich Switzerland Meituan Group China Department of Information Technology Uppsala University Sweden Institute of Automation Chinese Academy of Sciences Beijing China Nanjing China Maicro Nanjing China Department of Artificial Intelligence Convergence Sahmyook University Seoul Korea Republic of Megvii Technology China University of Electronic Science and Technology of China China University of Macau China China Toyota Technological Institute Japan Graduate Institute of Electronics Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan ServiceNow United States Beijing University of Post and Teleconmunication Beijing China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education China Couger Inc. Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar Punjab Rupnagar India Research Institute Singapore National University of Singapore Singapore Research Institute Singapore University of Sydney Australia Brain-Inspired Vision Laboratory Information Science and Technology Institution University of Science and Technology of China China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China South China University of Technology China
This work reviews the results of the NTIRE 2023 Challenge on Image Shadow Removal. The described set of solutions were proposed for a novel dataset, which captures a wide range of object-light interactions. It consist... 详细信息
来源: 评论
Survey on Deep Face Restoration: From Non-blind to Blind and Beyond
arXiv
收藏 引用
arXiv 2023年
作者: Li, Wenjie Wang, Mei Zhang, Kai Li, Juncheng Li, Xiaoming Zhang, Yuhang Gao, Guangwei Deng, Weihong Lin, Chia-Wen The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China The Computer Vision Lab ETH Zürich Zürich Switzerland The School of Communication and Information Engineering Shanghai University Shanghai China The Nanyang Technological University Singapore The Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China The Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan
Face restoration (FR) is a specialized field within image restoration that aims to recover low-quality (LQ) face images into high-quality (HQ) face images. Recent advances in deep learning technology have led to signi... 详细信息
来源: 评论
Group shift pointwise convolution for volumetric medical image segmentation
arXiv
收藏 引用
arXiv 2021年
作者: He, Junjun Ye, Jin Li, Cheng Song, Diping Chen, Wanli Wang, Shanshan Gu, Lixu Qiao, Yu School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Shenzhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China Shanghai AI Lab Shanghai China Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China The Chinese University of Hong Kong Hong Kong Peng Cheng Laboratory Guangdong Shenzhen China Pazhou Lab Guangdong Guangzhou China
Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images. Compared with the 2D counterparts, 3D convolutions can capture the spatial context in three dimensions. Never... 详细信息
来源: 评论
ChaLearn looking at people: IsoGD and ConGD large-scale RGB-D gesture recognition
arXiv
收藏 引用
arXiv 2019年
作者: Wan, Jun Lin, Chi Wen, Longyin Li, Yunan Miao, Qiguang Escalera, Sergio Anbarjafari, Gholamreza Guyon, Isabelle Guo, Guodong Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China JD Finance Mountain ViewCA United States University of Southern California Los AngelesCA90089-0911 United States School of Computer Science and Technology Xidian University & Xi'an Key Laboratory of Big Data and Intelligent Vision 2nd South Taibai Road Xi'an710071 China Universitat de Barcelona Computer Vision Center Spain iCV Lab Institute of Technology University of Tartu Estonia Faculty of Engineering Hasan Kalyoncu University Gaziantep Turkey Institute of Digital Technologies Loughborough University London United Kingdom ChaLearn United States University Paris-Saclay France institute of Deep Learning Baidu Research National Engineering Laboratory for Deep Learning Technology and Application China
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on pattern recognition (ICPR) 2016 and International Conference on computer V... 详细信息
来源: 评论