咨询与建议

限定检索结果

文献类型

  • 38 篇 会议
  • 9 篇 期刊文献

馆藏范围

  • 47 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 26 篇 工学
    • 15 篇 计算机科学与技术...
    • 14 篇 软件工程
    • 10 篇 信息与通信工程
    • 7 篇 光学工程
    • 6 篇 控制科学与工程
    • 5 篇 仪器科学与技术
    • 4 篇 生物医学工程(可授...
    • 3 篇 机械工程
    • 3 篇 化学工程与技术
    • 3 篇 安全科学与工程
    • 2 篇 力学(可授工学、理...
    • 2 篇 交通运输工程
    • 2 篇 船舶与海洋工程
    • 2 篇 城乡规划学
    • 2 篇 生物工程
    • 1 篇 材料科学与工程(可...
    • 1 篇 电气工程
  • 14 篇 理学
    • 9 篇 物理学
    • 7 篇 数学
    • 3 篇 化学
    • 2 篇 生物学
    • 2 篇 统计学(可授理学、...
    • 1 篇 大气科学
    • 1 篇 海洋科学
  • 4 篇 管理学
    • 3 篇 图书情报与档案管...
    • 2 篇 管理科学与工程(可...
  • 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...
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 艺术学

主题

  • 10 篇 intelligent robo...
  • 8 篇 computer vision
  • 7 篇 robot vision sys...
  • 6 篇 image segmentati...
  • 6 篇 pixel
  • 6 篇 feature extracti...
  • 5 篇 computer science
  • 5 篇 robustness
  • 4 篇 image edge detec...
  • 4 篇 pattern recognit...
  • 4 篇 mathematics
  • 3 篇 cameras
  • 3 篇 mobile robots
  • 3 篇 robot sensing sy...
  • 3 篇 helicopters
  • 3 篇 pixels
  • 3 篇 autonomous vehic...
  • 3 篇 clustering algor...
  • 3 篇 robot kinematics
  • 3 篇 image recognitio...

机构

  • 7 篇 intelligent robo...
  • 4 篇 intelligent robo...
  • 4 篇 department of in...
  • 3 篇 intelligent robo...
  • 2 篇 school of comput...
  • 2 篇 autonomous unive...
  • 2 篇 intelligent robo...
  • 2 篇 computer vision ...
  • 2 篇 ircv - intellige...
  • 2 篇 college of compu...
  • 2 篇 ihu strasbourg s...
  • 2 篇 shenzhen institu...
  • 2 篇 department of in...
  • 2 篇 intelligent robo...
  • 1 篇 electrical engin...
  • 1 篇 university of sc...
  • 1 篇 school of biomed...
  • 1 篇 visual artificia...
  • 1 篇 state key labora...
  • 1 篇 universitat autò...

作者

  • 7 篇 puig domenec
  • 7 篇 domenec puig
  • 6 篇 m.a. garcia
  • 5 篇 garcia miguel an...
  • 5 篇 miguel angel gar...
  • 4 篇 a. ollero
  • 4 篇 puig domènec
  • 3 篇 jaime melendez
  • 3 篇 g. heredia
  • 3 篇 d. puig
  • 3 篇 rodrigo moreno
  • 2 篇 carme julià
  • 2 篇 f. caballero
  • 2 篇 domènec puig
  • 2 篇 shah habib
  • 2 篇 l. merino
  • 2 篇 merino luis
  • 2 篇 jainendra shukla
  • 2 篇 r. mahtani
  • 2 篇 angel garcia mig...

语言

  • 47 篇 英文
检索条件"机构=IRCV - Intelligent Robotics and Computer Vision Group"
47 条 记 录,以下是11-20 订阅
排序:
Conditional affordance learning for driving in urban environments
arXiv
收藏 引用
arXiv 2018年
作者: Sauer, Axel Savinov, Nikolay Geiger, Andreas Computer Vision and Geometry Group ETH Zürich Chair of Robotics Science and System Intelligence Technical University of Munich Autonomous Vision Group MPI for Intelligent Systems and University of Tübingen
Most existing approaches to autonomous driving fall into one of two categories: Modular pipelines, that build an extensive model of the environment, and imitation learning approaches, that map images directly to contr... 详细信息
来源: 评论
Stakeholders Acceptance and Expectations of Robot-Assisted Therapy for Children with Autism Spectrum Disorder
Stakeholders Acceptance and Expectations of Robot-Assisted T...
收藏 引用
IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: Joan Oliver Rebeca Oliván Jainendra Shukla Annabel Folch Rafael Martínez-Leal Mireia Castellá Domènec Puig Instituto de Robótica para la Dependencia Sitges Barcelona Spain joliver Indraprastha Institute of Information Technology Delhi New Delhi India Intellectual Disability and Developmental Disorders Research Unit Fundaci Villablanca IISPV URV CIBERSAM Reus Spain Intelligent Robotics and Computer Vision Group Universitat Rovira i Virgili Tarragona Spain
Robot assisted therapy for children with Autism Spectrum Disorder (ASD) should take into account the stakeholders expectations about their potential benefits. Any disparity between the stakeholders expectations and th... 详细信息
来源: 评论
Understanding metric-related pitfalls in image analysis validation
arXiv
收藏 引用
arXiv 2023年
作者: Reinke, Annika Tizabi, Minu D. Baumgartner, Michael Eisenmann, Matthias Heckmann-Nötzel, Doreen Kavur, A. Emre Rädsch, Tim Sudre, Carole H. Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Benis, Arriel Blaschko, Matthew B. Buettner, Florian Cardoso, M. Jorge Cheplygina, Veronika Chen, Jianxu Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hashimoto, Daniel A. Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kenngott, Hannes Kleesiek, Jens Kofler, Florian Kooi, Thijs Kopp-Schneider, Annette Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Petersen, Jens Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Riegler, Michael A. Rieke, Nicola Saez-Rodriguez, Julio Sánchez, Clara I. Shetty, Shravya Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. van Calster, Ben Varoquaux, Gaël Yaniv, Ziv R. Jäger, Paul F. Maier-Hein, Lena Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Intelligent Medical Systems Germany NCT Heidelberg A Partnership Between DKFZ University Medical Center Heidelberg Germany Heidelberg Division of Medical Image Computing Germany Heidelberg Division of Intelligent Medical Systems Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montreal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Leuven Belgium partner site Frankfurt/Mainz a partnership between DKFZ and UCT Frankfurt Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany and Frankfurt Cancer Insititute Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for Statistics in Medicine University of Oxford Oxford United Kingdom Center for Biomedical In
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that parti... 详细信息
来源: 评论
Effectiveness of socially assistive robotics during cognitive stimulation interventions: Impact on caregivers
Effectiveness of socially assistive robotics during cognitiv...
收藏 引用
IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: Jainendra Shukla Miguel Barreda-Ángeles Joan Oliver Domènec Puig Intelligent Robotics and Computer Vision Group (IRCV) Rovira i Virgili University Tarragona Spain Instituto de Robótica para la Dependencia Sitges Barcelona Spain Eurecat Technology Centre of Catalonia Barcelona Spain
Execution of cognitive stimulation interventions for cognitive training of individuals in need represents significant burden on caregivers in time and labor costs. Recent advancements in Socially Assistive robotics (S... 详细信息
来源: 评论
Why is the Winner the Best?
Why is the Winner the Best?
收藏 引用
Conference on computer vision and Pattern Recognition (CVPR)
作者: M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from t...
来源: 评论
Real-time monocular obstacle avoidance using underwater dark channel prior
Real-time monocular obstacle avoidance using underwater dark...
收藏 引用
2016 IEEE/RSJ International Conference on intelligent Robots and Systems, IROS 2016
作者: Drews, Paulo Hernández, Emili Elfes, Alberto Nascimento, Erickson R. Campos, Mario Autonomous Systems Laboratory Data61-CSIRO Brisbane Australia Computer Vision and Robotics Laboratory Dep. de Ciência da Computação Univ. Federal de Minas Gerais - UFMG Belo Horizonte Brazil NAUTEC Intelligent Robotics and Automation Group Univ. Federal do Rio Grande - FURG Rio Grande Brazil
In this paper we propose a new vision-based obstacle avoidance strategy using the Underwater Dark Channel Prior (UDCP) that can be applied to any Unmanned Underwater Vehicle (UUV) equipped with a simple monocular came... 详细信息
来源: 评论
Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters
Supervised texture segmentation through a multi-level pixel-...
收藏 引用
IEEE International Conference on Image Processing
作者: Jaime Melendez Xavier Girones Domenec Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Spain
This paper presents a new, efficient technique for supervised texture segmentation based on a set of specifically designed filters and a multi-level pixel-based classifier. Filter design is carried out by means of a n... 详细信息
来源: 评论
On adapting pixel-based classification to unsupervised texture segmentation
On adapting pixel-based classification to unsupervised textu...
收藏 引用
2010 20th International Conference on Pattern Recognition, ICPR 2010
作者: Melendez, Jaime Puig, Domenec Angel Garcia, Miguel Intelligent Robotics and Computer Vision Group Rovira I Virgili University Dept. of Computer Science and Mathematics Av. Paisos Catalans 26 43007 Tarragona Spain Autonomous University of Madrid Dept. of Informatics Engineering Francisco Tomas y Valiente 11 28049 Madrid Spain
An inherent problem of unsupervised texture segmentation is the absence of previous knowledge regarding the texture patterns present in the images to be segmented. A new efficient methodology for unsupervised image se... 详细信息
来源: 评论
Robust color image segmentation through tensor voting
Robust color image segmentation through tensor voting
收藏 引用
International Conference on Pattern Recognition
作者: Moreno, Rodrigo Garcia, Miguel Angel Puig, Domenec Rovira I Virgili University Intelligent Robotics and Computer Vision Group Dept. of Computer Science and Mathematics Av. Països Catalans 26 43007 Tarragona Spain Autonomous University of Madrid Dept. of Informatics Engineering Francisco Tomas y Valiente 11 28049 Madrid Spain
This paper presents a new method for robust color image segmentation based on tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. First, an adaptation of tensor v... 详细信息
来源: 评论
Robust Color Image Segmentation through Tensor Voting
Robust Color Image Segmentation through Tensor Voting
收藏 引用
International Conference on Pattern Recognition
作者: Rodrigo Moreno Miguel Angel Garcia Domenec Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
This paper presents a new method for robust color image segmentation based on tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. First, an adaptation of tensor v... 详细信息
来源: 评论