咨询与建议

限定检索结果

文献类型

  • 14 篇 期刊文献
  • 6 篇 会议

馆藏范围

  • 20 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 12 篇 工学
    • 6 篇 计算机科学与技术...
    • 6 篇 软件工程
    • 6 篇 生物工程
    • 5 篇 光学工程
    • 5 篇 生物医学工程(可授...
    • 3 篇 信息与通信工程
    • 2 篇 机械工程
    • 2 篇 仪器科学与技术
    • 2 篇 控制科学与工程
    • 1 篇 电气工程
    • 1 篇 电子科学与技术(可...
    • 1 篇 核科学与技术
  • 11 篇 理学
    • 8 篇 生物学
    • 4 篇 物理学
    • 2 篇 数学
    • 2 篇 统计学(可授理学、...
    • 1 篇 系统科学
  • 6 篇 医学
    • 6 篇 临床医学
    • 5 篇 基础医学(可授医学...
    • 3 篇 药学(可授医学、理...
    • 1 篇 公共卫生与预防医...
  • 2 篇 农学
  • 2 篇 管理学
    • 2 篇 图书情报与档案管...
    • 1 篇 管理科学与工程(可...
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 2 篇 stochastic syste...
  • 2 篇 computer vision
  • 1 篇 image enhancemen...
  • 1 篇 covid-19
  • 1 篇 discriminative c...
  • 1 篇 support vector m...
  • 1 篇 rgb-d
  • 1 篇 transformers
  • 1 篇 youtube
  • 1 篇 drones
  • 1 篇 intelligent robo...
  • 1 篇 visualization
  • 1 篇 data acquisition
  • 1 篇 semantics
  • 1 篇 benchmarking
  • 1 篇 feature extracti...
  • 1 篇 histograms
  • 1 篇 testing
  • 1 篇 tumors
  • 1 篇 accuracy

机构

  • 3 篇 school of intell...
  • 3 篇 visual recogniti...
  • 3 篇 state key labora...
  • 2 篇 department of ps...
  • 2 篇 electrical engin...
  • 2 篇 university of sc...
  • 2 篇 department of ne...
  • 2 篇 riken aip japan.
  • 2 篇 massachusetts ge...
  • 2 篇 nuctech netherla...
  • 2 篇 tencent ai lab c...
  • 2 篇 allen institute ...
  • 2 篇 texas a&m univer...
  • 2 篇 institute for br...
  • 2 篇 bioengineering d...
  • 2 篇 department of bi...
  • 2 篇 graduate institu...
  • 2 篇 universidad pomp...
  • 2 篇 neuroinformatics...
  • 2 篇 prophesee france...

作者

  • 3 篇 bakas spyridon
  • 3 篇 jian yang
  • 2 篇 li cheng
  • 2 篇 kozubek michal
  • 2 篇 ching-wei wang
  • 2 篇 georgia tourassi
  • 2 篇 todd gillette
  • 2 篇 miroslav radojev...
  • 2 篇 galdran adrian
  • 2 篇 xiaoxiao liu
  • 2 篇 michel simonneau
  • 2 篇 christof koch
  • 2 篇 sean hill
  • 2 篇 leila muresan
  • 2 篇 reinke annika
  • 2 篇 xiang li
  • 2 篇 siqi liu
  • 2 篇 pascal fua
  • 2 篇 godau patrick
  • 2 篇 glocker ben

语言

  • 19 篇 英文
  • 1 篇 其他
检索条件"机构=Visual Intelligence and Systems Group in the Computer Vision Lab"
20 条 记 录,以下是1-10 订阅
排序:
Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration
arXiv
收藏 引用
arXiv 2025年
作者: Wu, Qianliang Jiang, Haobo Ding, Yaqing Luo, Lei Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China School of Computer Science and Engineering Nanjing University of Science and Technology China Nanyang Technological University Singapore Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Intelligence Science and Technology Nanjing University Suzhou China
Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registration. However, these tasks are often co... 详细信息
来源: 评论
Learning Deep Sensorimotor Policies for vision-Based Autonomous Drone Racing
Learning Deep Sensorimotor Policies for Vision-Based Autonom...
收藏 引用
IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Jiawei Fu Yunlong Song Yan Wu Fisher Yu Davide Scaramuzza Department of Informatics Robotics and Perception Group University of Zurich Switzerland Department of Neuroinformatics University of Zurich and ETH Zurich Switzerland Visual Intelligence and Systems Group in the Computer Vision Lab ETH Zurich
The development of effective vision-based algorithms has been a significant challenge in achieving autonomous drones, which promise to offer immense potential for many real-world applications. This paper investigates ...
来源: 评论
Learning Deep Sensorimotor Policies for vision-based Autonomous Drone Racing
arXiv
收藏 引用
arXiv 2022年
作者: Fu, Jiawei Song, Yunlong Wu, Yan Yu, Fisher Scaramuzza, Davide Robotics and Perception Group Department of Informatics University of Zurich Department of Neuroinformatics University of Zurich ETH Zurich Switzerland Visual Intelligence and Systems Group in the Computer Vision Lab at ETH Zurich Switzerland
unstructured environments, enabling various real-world applications. However, the lack of effective vision-based algorithms has been a stumbling block to achieving this goal. Existing systems often require hand-engine... 详细信息
来源: 评论
Self-supervised linear motion deblurring
arXiv
收藏 引用
arXiv 2020年
作者: Liu, Peidong Janai, Joel Pollefeys, Marc Sattler, Torsten Geiger, Andreas Computer Vision and Geometry Group Department of Computer Science ETH Zürich Switzerland Autonomous Vision Group Max Planck Institute for Intelligent Systems Univeristy of Tübingen Tübingen Germany Microsoft Mixed Reality and Artificial Intelligence Lab Zürich Switzerland Computer Vision and Medical Image Analysis Group Chalmers University of Technology Sweden
Motion blurry images challenge many computer vision algorithms, e.g., feature detection, motion estimation, or object recognition. Deep convolutional neural networks are state-of-the-art for image deblurring. However,... 详细信息
来源: 评论
Seeing the Arrow of Time
Seeing the Arrow of Time
收藏 引用
IEEE Conference on computer vision and Pattern Recognition
作者: Lyndsey C. Pickup Zheng Pan Donglai Wei YiChang Shih Changshui Zhang Andrew Zisserman Bernhard Scholkopf William T. Freeman Visual Geometry Group Department of Engineering Science University of Oxford Department of Automation Tsinghua University State Key Lab of Intelligent Technologies and Systems Tsinghua National Laboratory for Information Science and Technology (TNList) Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Max Planck Institute for Intelligent Systems
We explore whether we can observe Time's Arrow in a temporal sequence-is it possible to tell whether a video is running forwards or backwards? We investigate this some-what philosophical question using computer vi... 详细信息
来源: 评论
Color Object Recognition via Cross-Domain Learning on RGB-D Images
Color Object Recognition via Cross-Domain Learning on RGB-D ...
收藏 引用
IEEE International Conference on Robotics and Automation
作者: Yawen Huang Fan Zhu Ling Shao Alejandro F. Frangi the Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) Department of Electronic and Electrical Engineering The University of Sheffield Sheffield United Kingdom the Multimedia and Visual Computing Lab Department of Electrical and Computer Engineering New York University Abu Dhabi Abu Dhabi the Computer Vision and Artificial Intelligence Group Department of Computer Science and Digital Technologies Northumbria University Newcastle upon Tyne United Kingdom
This paper addresses the object recognition problem using multiple-domain inputs. We present a novel approach that utilizes labeled RGB-D data in the training stage, where depth features are extracted for enhancing th... 详细信息
来源: 评论
SGNet: Salient Geometric Network for Point Cloud Registration
SGNet: Salient Geometric Network for Point Cloud Registratio...
收藏 引用
IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Qianliang Wu Yaqing Ding Lei Luo Haobo Jiang Shuo Gu Chuanwei Zhou Jin Xie Jian Yang PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Intelligence Science and Technology Nanjing University Suzhou China
Point Cloud Registration (PCR) is a critical and challenging task in computer vision and robotics. One of the primary difficulties in PCR is identifying salient and meaningful points that exhibit consistent semantic a... 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
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
arXiv
收藏 引用
arXiv 2024年
作者: Wu, Qianliang Jiang, Haobo Luo, Lei Li, Jun Ding, Yaqing Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Intelligence Science and Technology Nanjing University Suzhou China Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic National University of Singapore Singapore
Establishing reliable correspondences is essential for 3D and 2D-3D registration tasks. Existing methods commonly leverage geometric or semantic point features to generate potential correspondences. However, these fea... 详细信息
来源: 评论
REFUGE2 CHALLENGE: A TREASURE TROVE FOR MULTI-DIMENSION ANALYSIS AND EVALUATION IN GLAUCOMA SCREENING
arXiv
收藏 引用
arXiv 2022年
作者: Fang, Huihui Li, Fei Wu, Junde Fu, Huazhu Sun, Xu Son, Jaemin Yu, Shuang Zhang, Menglu Yuan, Chenglang Bian, Cheng Lei, Baiying Zhao, Benjian Xu, Xinxing Li, Shaohua Fumero, Francisco Sigut, José Almubarak, Haidar Bazi, Yakoub Guo, Yuanhao Zhou, Yating Baid, Ujjwal Innani, Shubham Guo, Tianjiao Yang, Jie Orlando, José Ignacio Bogunović, Hrvoje Zhang, Xiulan Xu, Yanwu The REFUGE2 Challenge Australia State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-Sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Intelligent Healthcare Unit Baidu Inc. Beijing China The Institute of High Performance Computing Agency for Science Technology and Research Singapore Yatiris Group PLADEMA Institute CONICET UNICEN Tandil Argentina Christian Doppler Lab for Artificial Intelligence in Retina Department of Ophthalmology and Optometry Medical University of Vienna Vienna Austria VUNO Inc Seoul Korea Republic of Tencent HealthCare Tencent Shenzhen China Computer Vision Institute College of Computer Science and Software Engineering of Shenzhen University Shenzhen China School of Biomedical Engineering Health Science Center Shenzhen University China Xiaohe Healthcare ByteDance Guangdong Guangzhou510000 China School of Biomedical Engineering Shenzhen University China College of Computer Science & Software Engineering Shenzhen University China Department of Computer Science and Systems Engineering Universidad de La Laguna Spain Saudi Electronic University Saudi Arabia King Saud University Saudi Arabia Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China SGGS Institute of Engineering and Technology India Institute of Medical Robotics Shanghai Jiao Tong University China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there are some open-source, labeled datasets ... 详细信息
来源: 评论