咨询与建议

限定检索结果

文献类型

  • 457 篇 会议
  • 6 篇 期刊文献
  • 4 册 图书

馆藏范围

  • 467 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 73 篇 工学
    • 65 篇 计算机科学与技术...
    • 43 篇 软件工程
    • 18 篇 光学工程
    • 12 篇 控制科学与工程
    • 9 篇 信息与通信工程
    • 4 篇 化学工程与技术
    • 3 篇 生物医学工程(可授...
    • 2 篇 机械工程
    • 2 篇 电气工程
    • 2 篇 电子科学与技术(可...
    • 1 篇 生物工程
  • 31 篇 理学
    • 18 篇 物理学
    • 15 篇 数学
    • 7 篇 统计学(可授理学、...
    • 3 篇 系统科学
    • 2 篇 化学
    • 2 篇 生物学
  • 7 篇 管理学
    • 7 篇 图书情报与档案管...
  • 2 篇 医学
    • 2 篇 基础医学(可授医学...
    • 2 篇 临床医学
    • 2 篇 药学(可授医学、理...

主题

  • 219 篇 computer vision
  • 95 篇 pattern recognit...
  • 83 篇 conferences
  • 79 篇 cameras
  • 66 篇 computer science
  • 59 篇 humans
  • 57 篇 layout
  • 56 篇 robustness
  • 54 篇 image segmentati...
  • 50 篇 shape
  • 39 篇 application soft...
  • 35 篇 face recognition
  • 34 篇 object detection
  • 34 篇 pixel
  • 31 篇 face detection
  • 26 篇 lighting
  • 25 篇 bayesian methods
  • 24 篇 training
  • 23 篇 testing
  • 22 篇 tracking

机构

  • 5 篇 institute for ro...
  • 4 篇 department of co...
  • 4 篇 computer vision ...
  • 4 篇 department of co...
  • 3 篇 school of comput...
  • 3 篇 computer vision ...
  • 3 篇 department of co...
  • 3 篇 computer laborat...
  • 3 篇 department of el...
  • 3 篇 microsoft resear...
  • 3 篇 department of co...
  • 3 篇 chinese acad sci...
  • 3 篇 carnegie mellon ...
  • 3 篇 department of co...
  • 3 篇 computer science...
  • 3 篇 computer vision ...
  • 3 篇 research and dev...
  • 3 篇 department of co...
  • 3 篇 rensselaer polyt...
  • 2 篇 department of co...

作者

  • 11 篇 timofte radu
  • 6 篇 l. van gool
  • 5 篇 g. medioni
  • 4 篇 zhigang zhu
  • 4 篇 m. turk
  • 4 篇 b.s. manjunath
  • 4 篇 jiebo luo
  • 4 篇 j.w. davis
  • 4 篇 d. metaxas
  • 3 篇 vasluianu florin...
  • 3 篇 rafael e. rivade...
  • 3 篇 fan haoqiang
  • 3 篇 busch christoph
  • 3 篇 angel d. sappa
  • 3 篇 r. pless
  • 3 篇 hao tang
  • 3 篇 c. vogler
  • 3 篇 rivadeneira rafa...
  • 3 篇 zhang zhao
  • 3 篇 liu shuaicheng

语言

  • 467 篇 英文
检索条件"任意字段=Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003"
467 条 记 录,以下是1-10 订阅
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces
NTIRE 2023 Challenge on HR Depth from Images of Specular and...
收藏 引用
2023 IEEE/CVF conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Ramirez, Pierluigi Zama Costanzino, Alex Tosi, Fabio Poggi, Matteo Salti, Samuele Mattoccia, Stefano Di Stefano, Luigi Timofte, Radu Cao, Chengzhi Zhang, Fanrui Zhan, Qiang Wang, Kunyu Shi, Jun Zhang, Dafeng Yong, A. Jin, Yixiang Li, Dingzhe Li, Chao Liu, Zhiwen Zhang, Qi Wang, Yixing Li, Liangyan Liang, Runchen Liu, Yangyi Liu, Huan Song, Siyu Chen, Jun Yin, Shi University of Bologna Italy Computer Vision Lab University of Würzburg Germany Computer Vision Lab Eth Zürich Switzerland University of Science and Technology of China China China Vivo China McMaster University Canada Nanjing Tech University China
This paper reports about the NTIRE 2023 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at... 详细信息
来源: 评论
Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection
Pseudo-label Generation and Various Data Augmentation for Se...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jun Zhang, Liwen Du, Shenshen Chang, Hao Lu, Keda Zhang, Zhong Yu, Ye Wang, Lei Ling, Qiang Univ Sci & Technol China Hefei Anhui Peoples R China Hefei ZhanDa Intelligence Technol Co Ltd Hefei Anhui Peoples R China Hefei Univ Technol Hefei Anhui Peoples R China
Semi-supervised learning is a highly researched problem, but existing semi-supervised object detection frameworks are based on RGB images, and existing pre-trained models cannot be used for hyperspectral images. To ov... 详细信息
来源: 评论
Material Swapping for 3D Scenes using a Learnt Material Similarity Measure
Material Swapping for 3D Scenes using a Learnt Material Simi...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Perroni-Scharf, Maxine Sunkavalli, Kalyan Eisenmann, Jonathan Hold-Geoffroy, Yannick Princeton Univ Princeton NJ 08544 USA Adobe Res San Jose CA USA
We present a method for augmenting photo-realistic 3D scene assets by automatically recognizing, matching, and swapping their materials. Our method proposes a material matching pipeline for the efficient replacement o... 详细信息
来源: 评论
Thermal Image Super-Resolution Challenge Results - PBVS 2022
Thermal Image Super-Resolution Challenge Results - PBVS 2022
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rivadeneira, Rafael E. Sappa, Angel D. Vintimilla, Boris X. Kim, Jin Kim, Dogun Li, Zhihao Jian, Yingchun Yan, Bo Cao, Leilei Qi, Fengliang Wang, Hongbin Wu, Rongyuan Sun, Lingchen Zhao, Yongqiang Li, Lin Wang, Kai Wang, Yicheng Zhang, Xuanming Wei, Huiyuan Lv, Chonghua Sun, Qigong Tian, Xiaolin Jia, Zhuang Hu, Jiakui Wang, Chenyang Zhong, Zhiwei Liu, Xianming Jiang, Junjun Escuela Super Politecn Litoral ESPOL Guayaquil Ecuador Comp Vision Ctr Campus UAB Bellaterra 08193 Spain
This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image datase... 详细信息
来源: 评论
WSRD: A Novel Benchmark for High Resolution Image Shadow Removal
WSRD: A Novel Benchmark for High Resolution Image Shadow Rem...
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 University of Würzburg Computer Vision Laboratory Caidas & Ifi Germany
Shadow removal is an important computer vision task, whose aim is to successfully detect the shadow affected area appearing through light occlussion, followed by a photorealistic restoration of the affected image cont... 详细信息
来源: 评论
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022
Semi-Supervised Hyperspectral Object Detection Challenge Res...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rangnekar, Aneesh Mulhollan, Zachary Vodacek, Anthony Hoffman, Matthew Sappa, Angel Blasch, Erik Yu, Jun Zhang, Liwen Du, Shenshen Chang, Hao Lu, Keda Zhang, Zhong Gao, Fang Yu, Ye Shuang, Feng Wang, Lei Ling, Qiang Shyam, Pranjay Yoon, Kuk-Jin Kim, Kyung-Soo Rochester Inst Technol Rochester NY 14623 USA ESPOL Polytech Univ Guayaquil Ecuador Comp Vision Ctr Campus UAB Barcelona Spain US Air Force Res Lab Rome NY USA
This paper summarizes the top contributions to the first semi-supervised hyperspectral object detection (SSHOD) challenge, which was organized as a part of the Perception Beyond the Visible Spectrum (PBVS) 2022 worksh... 详细信息
来源: 评论
NTIRE 2023 Video Colorization Challenge
NTIRE 2023 Video Colorization Challenge
收藏 引用
2023 IEEE/CVF conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Kang, Xiaoyang Lin, Xianhui Zhang, Kai Hui, Zheng Xiang, Wangmeng He, Jun-Yan Li, Xiaoming Ren, Peiran Xie, Xuansong Timofte, Radu Pan, Jinshan Peng, Zhongzheng Zhang, Qiyan Dong, Jiangxin Tang, Jinhui Li, Jinjing Lin, Chichen Li, Qipei Liang, Qirong Gang, Ruipeng Liu, Xiaofeng Feng, Shuang Liu, Shuai Wang, Hao Feng, Chaoyu Bai, Furui Zhang, Yuqian Shao, Guangqi Wang, Xiaotao Lei, Lei Chen, Siqi Zhang, Yu Xu, Hanning Liu, Zheyuan Zhang, Zhao Luo, Yan Zuo, Zhichao Damo Academy Alibaba Group China Computer Vision Lab Eth Zürich Switzerland Nanyang Technological University Singapore University of Würzburg Germany Nanjing University of Science and Technology China Communication University of China Beijing100024 China Academy of Broadcasting Science Nrta Beijing100866 China Uhdtv Research and Application Laboratory Beijing100176 China Xiaomi Inc. China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Zjut China China
This paper reviews the video colorization challenge on the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2023. The target of this challenge is converting grayscale vid... 详细信息
来源: 评论
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gu, Jinjin Cai, Haoming Dong, Chao Ren, Jimmy S. Timofte, Radu Gong, Yuan Lao, Shanshan Shi, Shuwei Wang, Jiahao Yang, Sidi Wu, Tianhe Xia, Weihao Yang, Yujiu Cao, Mingdeng Heng, Cong Fu, Lingzhi Zhang, Rongyu Zhang, Yusheng Wang, Hao Song, Hongjian Wang, Jing Fan, Haotian Hou, Xiaoxia Sun, Ming Li, Mading Zhao, Kai Yuan, Kun Kong, Zishang Wu, Mingda Zheng, Chuanchuan Conde, Marcos, V Burchi, Maxime Feng, Longtao Zhang, Tao Li, Yang Xu, Jingwen Wang, Haiqiang Liao, Yiting Li, Junlin Xu, Kele Sun, Tao Xiong, Yunsheng Keshari, Abhisek Komal, Komal Thakur, Sadbhawana Jakhetiya, Vinit Subudhi, Badri N. Yang, Hao-Hsiang Chang, Hua-En Huang, Zhi-Kai Chen, Wei-Ting Kuo, Sy-Yen Dutta, Saikat Das, Sourya Dipta Shah, Nisarg A. Tiwari, Anil Kumar Shanghai AI Lab Shanghai Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China SenseTime Res Beijing Peoples R China Univ Wurzburg Wurzburg Germany Swiss Fed Inst Technol Zurich Switzerland Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China UCL London England Netease Hangzhou Peoples R China Kuaishou Beijing Peoples R China Univ Wurzburg Comp Vis Lab Wurzburg Germany ByteDance Beijing Peoples R China Key Lab Parallel & Distributed Proc Beijing Peoples R China Indian Inst Technol Jammu Jagti Jammu & Kashmir India Indian Inst Technol Madras Chennai Tamil Nadu India Jadavpur Univ Kolkata W Bengal India Indian Inst Technol Jodhpur Jodhpur Rajasthan India Natl Taiwan Univ New Taipei Taiwan
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This ch... 详细信息
来源: 评论
Efficient CNN Architecture for Multi-modal Aerial View Object Classification
Efficient CNN Architecture for Multi-modal Aerial View Objec...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Miron, Casian Pasarica, Alexandru Timofte, Radu Gheorghe Asachi Tech Univ MCC Resources SRL Iasi Romania
The NTIRE 2021 workshop features a Multi-modal Aerial View Object Classification Challenge. Its focus is on multi-sensor imagery classification in order to improve the performance of automatic target recognition (ATR)... 详细信息
来源: 评论
Perceptual Image Compression using Relativistic Average Least Squares GANs
Perceptual Image Compression using Relativistic Average Leas...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Zhengxue Fu, Ting Hu, Jiapeng Guo, Li Wang, Shihao Zhao, Xiongxin Zhou, Dajiang Song, Yang Ant Grp Hangzhou Peoples R China
In this work, we provide a detailed description on our submitted methods ANTxNN and ANTxNN SSIM to workshop and Challenge on Learned Image Compression (CLIC) 2021. We propose to incorporate Relativistic average Least ... 详细信息
来源: 评论