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检索条件"机构=the Multimedia and Visual Computing Lab"
64 条 记 录,以下是51-60 订阅
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Local diffusion map signature for symmetry-aware non-rigid shape correspondence  16
Local diffusion map signature for symmetry-aware non-rigid s...
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24th ACM multimedia Conference, MM 2016
作者: Wang, Meng Fang, Yi NYU Multimedia and Visual Computing Lab Dept. of ECE NYU Abu Dhabi United Arab Emirates Dept. of CSE NYU Tandon School of Engineering United States
Identifying accurate correspondences information among different shapes is of great importance in shape analysis such as shape registration, segmentation and retrieval. This paper aims to develop a paradigm to address... 详细信息
来源: 评论
Global consistent shape correspondence for efficient and effective active shape models  16
Global consistent shape correspondence for efficient and eff...
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24th ACM multimedia Conference, MM 2016
作者: Wang, Meng Fang, Yi NYU Multimedia and Visual Computing Lab Dept. of ECE NYU Abu Dhabi United Arab Emirates Dept. of ECE NYU Tandon School of Engineering United States
Finding the accurate corresponded landmarks from a collection of shape instances plays critical role in constructing active shape models (ASMs). We have developed a global consistent shape correspondence paradigm for ... 详细信息
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A 3D Virtual Environment for Training Teachers to Identify Bullying
A 3D Virtual Environment for Training Teachers to Identify B...
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Mediterranean Electrotechnical Conference
作者: Kalliopi-Evangelia Stavroulia Antri Ruiz-Harisiou Elena Manouchou Kyriakos Georgiou Francesca Sella Andreas Lanitis Visual Media Computing Lab Department of Multimedia and Graphic Arts Cyprus University of Technology Limassol Cyprus
Incidents involving bullying in schools present a difficult challenge for educators who need to identify potentially dangerous behaviors in comparison to 'innocent' types of interstudent interactions. In this ... 详细信息
来源: 评论
A Feasibility Study on Using Virtual Reality for Understanding Deficiencies of High School Students
A Feasibility Study on Using Virtual Reality for Understandi...
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Mediterranean Electrotechnical Conference
作者: Elena Manouchou Kalliopi-Evangelia Stavroulia Antri Ruiz-Harisiou Kyriakos Georgiou Francesca Sella Andreas Lanitis Visual Media Computing Lab Department of Multimedia and Graphic Arts Cyprus University of Technology Limassol Cyprus
A significant number of high school students face different types of problems that prevent them from attending adequately classes. On the other hand teachers are faced with the daunting task of identifying and address... 详细信息
来源: 评论
On the Development and Evaluation of a Serious Game for Forensic Examination Training
On the Development and Evaluation of a Serious Game for Fore...
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Mediterranean Electrotechnical Conference
作者: Maria Drakou Andreas Lanitis Visual Media Computing Lab Dept. of Multimedia and Graphic Arts Cyprus University of Technology Limassol Cyprus
Training for forensic investigations is an important aspect of the overall training procedure in Police Academies around the world. However, the overall complexity of forensic examinations and the sensitive nature of ... 详细信息
来源: 评论
Learned binary spectral shape descriptor for 3D shape correspondence
Learned binary spectral shape descriptor for 3D shape corres...
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2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
作者: Xie, Jin Wang, Meng Fang, Yi NYU Multimedia and Visual Computing Lab United Arab Emirates Department of Electrical and Computer Engineering New York University Abu Dhabi United Arab Emirates Department of Electrical and Computer Engineering NYU Tandon School of Engineering United States
Dense 3D shape correspondence is an important problem in computer vision and computer graphics. Recently, the local shape descriptor based 3D shape correspondence approaches have been widely studied, where the local s... 详细信息
来源: 评论
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
arXiv
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arXiv 2017年
作者: Cao, Xiangyong Zhou, Feng Xu, Lin Meng, Deyu Xu, Zongben Paisley, John IEEE IEEE School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China National Laboratory of Radar Signal Processing Xidian University Xi’an China NYU Multimedia and Visual Computing Lab New York University Abu Dhabi United Arab Emirates Department of Electrical Engineering & Data Science Institute Columbia University New YorkNY United States Columbia University China Scholarship Council
This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HS... 详细信息
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Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
Learned Binary Spectral Shape Descriptor for 3D Shape Corres...
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IEEE Conference on Computer Vision and Pattern Recognition
作者: Jin Xie Meng Wang Yi Fang NYU Multimedia and Visual Computing Lab UAE Department of Electrical and Computer Engineering New York University Abu Dhabi Department of Electrical and Computer Engineering NYU Tandon School of Engineering
Dense 3D shape correspondence is an important problem in computer vision and computer graphics. Recently, the local shape descriptor based 3D shape correspondence approaches have been widely studied, where the local s... 详细信息
来源: 评论
Robust enhancement of depth images from Kinect sensor
Robust enhancement of depth images from Kinect sensor
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IEEE Annual International Symposium Virtual Reality
作者: A B M Tariqul Islam Christian Scheel Renato Pajarola Oliver Staadt Visual Computing Lab University of Rostock Germany Visualization and MultiMedia Lab University of Zürich Switzerland
We propose a new method to fill missing or invalid values in depth images generated from the Kinect depth sensor. To fill the missing depth values, we use a robust least median of squares (LMedS) approach. We apply ou... 详细信息
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Color Object Recognition via Cross-Domain Learning on RGB-D Images
Color Object Recognition via Cross-Domain Learning on RGB-D ...
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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
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