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检索条件"机构=Robotics and Computer Vision Laboratory of the Computer & Information Science Department"
636 条 记 录,以下是331-340 订阅
排序:
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets
arXiv
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arXiv 2021年
作者: Chen, Chao Raymond, Catalina Speier, William Jin, Xinyu Cloughesy, Timothy F. Enzmann, Dieter Ellingson, Benjamin M. Arnold, Corey W. Information Science and Electrical Engineering Department Zhejiang Univeristy Hangzhou310027 China Department of Radiological Sciences David Geffen School of Medicine The University of California Los Angeles United States Department of Neurology David Geffen School of Medicine The University of California Los Angeles United States UCLA Brain Tumor Imaging Laboratory Center for Computer Vision and Imaging Biomarkers Department of Radiological Sciences David Geffen School of Medicine University of California Los Angeles Los Angeles United States Computational Diagnostics Lab The Department of Radiological Sciences The Department of Pathology and Laboratory Medicine The Department of Bioengineering The University of California Los Angeles 924 Westwood Blvd Suite 600 CA90024 United States
Objective: Gadolinium-based contrast agents (GBCAs) have been widely used to better visualize disease in brain magnetic resonance imaging (MRI). However, gadolinium deposition within the brain and body has raised safe... 详细信息
来源: 评论
Gaussian curvature filter on 3d mesh
arXiv
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arXiv 2020年
作者: Tang, Wenming Gong, Yuanhao Liu, Kanglin Liu, Jun Pan, Wei Liu, Bozhi Qiu, Guoping College of Information Engineering Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China School of Mechanical & Automotive Engineering South China University of Technology Department of Research and Development OPT Machine Vision Tech Co. Ltd Jinsheng Road Changan Dongguan Guangdong523860 China School of Computer Science University of Nottingham NottinghamNG8 1BB United Kingdom
Minimizing Gaussian curvature of meshes is fundamentally important for obtaining smooth and developable surfaces. However, there is a lack of computationally efficient and robust Gaussian curvature optimization method... 详细信息
来源: 评论
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
arXiv
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arXiv 2020年
作者: Abdar, Moloud Pourpanah, Farhad Hussain, Sadiq Rezazadegan, Dana Liu, Li Ghavamzadeh, Mohammad Fieguth, Paul Cao, Xiaochun Khosravi, Abbas Rajendra Acharya, U. Makarenkov, Vladimir Nahavandi, Saeid Deakin University Australia College of Mathematics and Statistics Guangdong Key Lab. of Intelligent Information Processing Shenzhen University Shenzhen518060 China Dibrugarh University Dibrugarh India Department of Computer Science and Software Engineering Swinburne University of Technology Melbourne Australia Center for Machine Vision and Signal Analysis University of Oulu Oulu Finland Google research United States Department of Systems Design Engineering University of Waterloo Waterloo Canada State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Department of Electronics and Computer Engineering Ngee Ann Polytechnic Clementi Singapore Department of Computer Science University of Quebec in Montreal MontrealQC Canada
—Uncertainty quantification (UQ) plays a pivotal role in the reduction of uncertainties during both optimization and decision making, applied to solve a variety of real-world applications in science and engineering. ... 详细信息
来源: 评论
Scalable block-diagonal locality-constrained projective dictionary learning
arXiv
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arXiv 2019年
作者: Zhang, Zhao Jiang, Weiming Zhang, Zheng Li, Sheng Liu, Guangcan Qin, Jie School of Computer Science School of Artificial Intelligence Hefei University of Technology China School of Computer Science and Technology Soochow University China School of Information Technology and Electrical Engineering University of Queensland Australia Department of Computer Science University of Georgia United States School of Information and Control Nanjing University of Information Science and Technology China Computer Vision Laboratory ETH Zurich Switzerland
We propose a novel structured discriminative blockdiagonal dictionary learning method, referred to as scalable Locality-Constrained Projective Dictionary Learning (LC-PDL), for efficient representation and classificat... 详细信息
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Jointly learning structured analysis discriminative dictionary and analysis multiclass classifier
arXiv
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arXiv 2019年
作者: Zhang, Zhao Jiang, Weiming Qin, Jie Zhang, Li Li, Fanzhang Zhang, Min Yan, Shuicheng School of Computer Science and Technology Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China Computer Vision Laboratory ETH Zürich Zürich8092 Switzerland Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore
In this paper, we propose an analysis mechanism based structured Analysis Discriminative Dictionary Learning (ADDL) framework. ADDL seamlessly integrates the analysis discriminative dictionary learning, analysis repre... 详细信息
来源: 评论
Spherical interpolated convolutional network with distance-feature density for 3D semantic segmentation of point clouds
arXiv
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arXiv 2020年
作者: Wang, Guangming Yang, Yehui Zhang, Huixin Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Computer Science and Technology University of Cambridge United Kingdom
The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution kernel to extract features from raw 3D... 详细信息
来源: 评论
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
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Nature methods 2023年 第6期20卷 824-835页
作者: Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is r...
来源: 评论
SocNav1: A dataset to benchmark and learn social navigation conventions∗
arXiv
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arXiv 2019年
作者: Manso, Luis J. Núñez, Pedro Calderita, Luis V. Faria, Diego R. Bachiller, Pilar Computer Science Department School of Engineering and Applied Science Aston University Birmingham United Kingdom Robotics and Artificial Vision Laboratory - RoboLab Caceres School of Technology Universidad de Extremadura Caceres Extremadura
来源: 评论
AIM 2020: Scene Relighting and Illumination Estimation Challenge  16th
AIM 2020: Scene Relighting and Illumination Estimation Chall...
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Workshops held at the 16th European Conference on computer vision, ECCV 2020
作者: El Helou, Majed Zhou, Ruofan Süsstrunk, Sabine Timofte, Radu Afifi, Mahmoud Brown, Michael S. Xu, Kele Cai, Hengxing Liu, Yuzhong Wang, Li-Wen Liu, Zhi-Song Li, Chu-Tak Dipta Das, Sourya Shah, Nisarg A. Jassal, Akashdeep Zhao, Tongtong Zhao, Shanshan Nathan, Sabari Beham, M. Parisa Suganya, R. Wang, Qing Hu, Zhongyun Huang, Xin Li, Yaning Suin, Maitreya Purohit, Kuldeep Rajagopalan, A.N. Puthussery, Densen Hrishikesh, P.S. Kuriakose, Melvin Jiji, C.V. Zhu, Yu Dong, Liping Jiang, Zhuolong Li, Chenghua Leng, Cong Cheng, Jian EPFL Lausanne Switzerland ETHZ Zrich Switzerland EECS York University TorontoON Canada National University of Defense Technology Changsha China Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong China CS laboratory at the Ecole Polytechnique Palaiseau France Jadavpur University Kolkata India Indian Institute of Technology Jodhpur India Chandigarh India Dalian Maritime University Dalian China China Everbright Bank Beijing China Couger Inc Tokyo Japan Sethu Institute of Technology Virudhunagar India Thiagarajar College of Engineering Virudhunagar India Computer Vision and Computational Photography Group School of Computer Science Northwestern Polytechnical University Xi’an China Indian Institute of Technology Madras Chennai India College of Engineering Trivandrum India MAICRO Beijing China
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evaluation res... 详细信息
来源: 评论
Multiple sclerosis lesion synthesis in MRI using an encoder-decoder U-NET
arXiv
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arXiv 2019年
作者: Salem, Mostafa Valverde, Sergi Cabezas, Mariano Pareto, Deborah Oliver, Arnau Salvi, Joaquim Rovira, Alex Llado, Xavier Research Institute of Computer Vision and Robotics University of Girona Girona17003 Spain Computer Science Department Faculty of Computers and Information Assiut University Egypt Magnetic Resonance Unit Dept of Radiology Vall d'Hebron University Hospital Spain
In this paper, we propose generating synthetic multiple sclerosis (MS) lesions on MRI images with the final aim to improve the performance of supervised machine learning algorithms, therefore avoiding the problem of t... 详细信息
来源: 评论