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检索条件"机构=Computer Vision and Robotics Institute"
466 条 记 录,以下是321-330 订阅
排序:
Real-time Fish Detection in Trawl Nets
Real-time Fish Detection in Trawl Nets
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Oceans (Conference)
作者: R. Prados R. Garcia N. Gracias L. Neumann Havard Vagstol Computer Vision and Robotics Institute University of Girona Girona Spain ICREA Pg. Lluís Companys 23 Barcelona Spain Scantrol Deep Vision AS Bergen Norway
This work presents advances towards the development of the Deep vision system, consisting of a stereo camera setup attached to a trawl, which will make it possible to identify and measure the fish passing through with... 详细信息
来源: 评论
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
arXiv
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arXiv 2017年
作者: Kushibar, Kaisar Valverde, Sergi González-Villà, Sandra Bernal, Jose Cabezas, Mariano Oliver, Arnau Lladó, Xavier Institute of Computer Vision and Robotics University of Girona Ed. P-IV Campus Montilivi University of Girona Girona17003 Spain
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time because morphological changes in these structures are related to differ... 详细信息
来源: 评论
A non-rigid map fusion-based rgb-depth slam method for endoscopic capsule robots
arXiv
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arXiv 2017年
作者: Turan, Mehmet Almalioglu, Yasin Araujo, Helder Konukoglu, Ender Sitti, Metin Max Planck Institute for Intelligent Systems Stuttgart Germany Computer Vision Laboratory ETH Zurich Switzerland Robotics Laboratory University of Coimbra Portugal
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is considered as a minimally invasive novel diagnostic technology to inspect the entire GI tract and to diagnose various diseas... 详细信息
来源: 评论
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
arXiv
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arXiv 2017年
作者: Bernal, Jose Kushibar, Kaisar Asfaw, Daniel S. Valverde, Sergi Oliver, Arnau Martí, Robert Lladó, Xavier Computer Vision and Robotics Institute Dept. of Computer Architecture and Technology University of Girona Ed. P-IV Av. Lluis Santaló s/n Girona17003 Spain
In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual object recognition, detection and segmentation. These method... 详细信息
来源: 评论
Single image super resolution - When model adaptation matters
arXiv
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arXiv 2017年
作者: Liang, Yudong Timofte, Radu Wang, Jinjun Gong, Yihong Zheng, Nanning Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China Computer Vision Laboratory Department of Information Technology and Electrical Engineering ETH Zürich Switzerland
In the recent years impressive advances were made for single image super-resolution. Deep learning is behind a big part of this success. Deep(er) architecture design and external priors modeling are the key ingredient... 详细信息
来源: 评论
Webvision challenge: Visual learning and understanding with web data
arXiv
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arXiv 2017年
作者: Li, Wen Wang, Limin Li, Wei Agustsson, Eirikur Berent, Jesse Gupta, Abhinav Sukthankar, Rahul van Gool, Luc Computer Vision Laboratory ETH Zurich Switzerland Google Research Zurich Switzerland Robotics Institute Carnegie Mellon University Pittsburgh United States Google Research United States
We present the 2017 Webvision Challenge, a public image recognition challenge designed for deep learning based on web images without instance-level human annotation. Following the spirit of previous vision challenges,... 详细信息
来源: 评论
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
arXiv
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arXiv 2019年
作者: Kuijf, Hugo J. Biesbroek, J. Matthijs Bresser, Jeroen de Heinen, Rutger Andermatt, Simon Bento, Mariana Berseth, Matt Belyaev, Mikhail Cardoso, M. Jorge Casamitjana, Adrià Collins, D. Louis Dadar, Mahsa Georgiou, Achilleas Ghafoorian, Mohsen Jin, Dakai Khademi, April Knight, Jesse Li, Hongwei Lladó, Xavier Luna, Miguel Mahmood, Qaiser McKinley, Richard Mehrtash, Alireza Ourselin, Sébastien Park, Bo-yong Park, Hyunjin Park, Sang Hyun Pezold, Simon Puybareau, Elodie Rittner, Leticia Sudre, Carole H. Valverde, Sergi Vilaplana, Verónica Wiest, Roland Xu, Yongchao Xu, Ziyue Zeng, Guodong Zhang, Jianguo Zheng, Guoyan Chen, Christopher Flier, Wiesje van der Barkhof, Frederik Viergever, Max A. Biessels, Geert Jan Image Sciences Institute UMC Utrecht Utrecht University Netherlands Brain Center Rudolf Magnus UMC Utrecht Utrecht University Netherlands Department of Radiology UMC Utrecht Department of Radiology LUMC Leiden Netherlands Department of Biomedical Engineering University of Basel Allschwil Switzerland Radiology and Clinical Neuroscience Hotchkiss Brain Institute University of Calgary AB Canada NLP Logix Skolkovo Institute of Science and Technology School of Biomedical Engineering and Imaging Sciences King’s College London Centre for Medical Image Computing University College London Signal Theory and Communications Department Universitat Politècnica de Catalunya BarcelonaTech Barcelona Spain McGill University Canada Computational Statistics and Machine Learning MSc University College London TomTom Amsterdam Netherlands Department of Radiology and Imaging Science National Institutes of Health United States Ryerson University Canada University of Guelph Canada Sun Yat-sen University University of Dundee Technical University of Munich Research institute of Computer Vision and Robotics University of Girona Spain Department of Robotics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu Korea Republic of Pakistan Institute of Nuclear Science and Technology Support Center for Advanced Neuroimaging Institute for Diagnostic and Interventional Neuroradiology Inselspital University of Bern Switzerland Electrical and Computer Engineering Department University of British Columbia Vancouver Department of Radiology Brigham and Women’s Hospital Harvard Medical School Boston School of Biomedical Engineering and Imaging Sciences King’s College London Suwon Korea Republic of School of Electronic and Electrical Engineering Sungkyunkwan University Suwon Korea Republic of France School of Electrical and Computer Engineering University of Campinas SP Brazil School of Biomedical Engineering and Imaging Sciences King’s College London Centre for Medical I
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are often still obtained from manual segme... 详细信息
来源: 评论
Magnetic-visual sensor fusion based medical SLAM for endoscopic capsule robot
arXiv
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arXiv 2017年
作者: Turan, Mehmet Almalioglu, Yasin Gilbert, Hunter Araujo, Helder Konukoglu, Ender Sitti, Metin Max Planck Institute for Intelligent Systems Stuttgart Germany Computer Vision Laboratory Eth Zurich Computer Engineering Department Bogazici University Louisiana State University Baton RougeLA United States Robotics Laboratory University of Coimbra
A reliable, real-time simultaneous localization and mapping (SLAM) method is crucial for the navigation of actively controlled capsule endoscopy robots. These robots are an emerging, minimally invasive diagnostic and ... 详细信息
来源: 评论
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
arXiv
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arXiv 2017年
作者: Turan, Mehmet Almalioglu, Yasin Araujo, Helder Konukoglu, Ender Sitti, Metin Physical Intelligence Department Max Planck Institute for Intelligent Systems Germany Computer Engineering Department Bogazici Univesity Turkey Institute for Systems and Robotics Universidade de Coimbra Portugal Computer Vision Laboratory Department of Information Technology and Electrical Engineering ETH Zurich Switzerland
Ingestible wireless capsule endoscopy is an emerging minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and pathologies. Medical device companies and many... 详细信息
来源: 评论
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot
arXiv
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arXiv 2017年
作者: Turan, Mehmet Pilavci, Yusuf Yigit Jamiruddin, Redhwan Araujo, Helder Konukoglu, Ender Sitti, Metin Physical Intelligence Department Max-Planck Institute Stuttgart Germany Computer Vision Laboratory Eth Zentrum Zurich Switzerland Biomedical Engineering Department Martin-Luther Univeristy Halle-Wittenberg Halle Germany Robotics Institute Coimbro University
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is emerging as a novel, minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range o... 详细信息
来源: 评论