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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5506 条 记 录,以下是4601-4610 订阅
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AnonymousNet: Natural Face De-Identification With Measurable Privacy
AnonymousNet: Natural Face De-Identification With Measurable...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Tao Li Lei Lin Department of Computer Science Purdue University Goergen Institute for Data Science University of Rochester
With billions of personal images being generated from social media and cameras of all sorts on a daily basis, security and privacy are unprecedentedly challenged. Although extensive attempts have been made, existing f... 详细信息
来源: 评论
How Important Is Each Dermoscopy Image?
How Important Is Each Dermoscopy Image?
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Catarina Barata Carlos Santiago Institute for Systems and Robotics Lisbon Portugal
Deep neural networks (DNNs) have revolutionized the field of dermoscopy image analysis. Systems based on DNNs are able to achieve impressive diagnostic performances, even outperforming experienced dermatologists. Howe... 详细信息
来源: 评论
Analysis of patterns of motor behavior in gamers with down syndrome
Analysis of patterns of motor behavior in gamers with down s...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jeremy Svendsen Alexandra Branzan Albu Naznin Virji-Babul University of Victoria Victoria BC Canada Down Syndrome Research Foundation Vancouver BC Canada
This paper reports on the computer vision-based analysis of weight-shifting patterns in Down Syndrome subjects. The subjects were filmed while playing a snowboarding game in a virtual reality environment. To capture l... 详细信息
来源: 评论
Real-time RGB-D mapping and 3-D modeling on the GPU using the random ball cover data structure
Real-time RGB-D mapping and 3-D modeling on the GPU using th...
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International conference on computer vision workshops (ICCV workshops)
作者: Dominik Neumann Felix Lugauer Sebastian Bauer Jakob Wasza Joachim Hornegger Pattern Recognition Lab Department of Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
The modeling of three-dimensional scene geometry from temporal point cloud streams is of particular interest for a variety of computer vision applications. With the advent of RGB-D imaging devices that deliver dense, ... 详细信息
来源: 评论
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis
Unveiling the Ambiguity in Neural Inverse Rendering: A Param...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Georgios Kouros Minye Wu Sushruth Nagesh Xianling Zhang Tinne Tuytelaars KU Leuven Ford Motor Company
Inverse rendering aims to reconstruct the scene properties of objects solely from multiview images. However, it is an ill-posed problem prone to producing ambiguous estimations deviating from physically accurate repre... 详细信息
来源: 评论
HadaNets: Flexible Quantization Strategies for Neural Networks
HadaNets: Flexible Quantization Strategies for Neural Networ...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Yash Akhauri Birla Institute of Technology and Science Pilani RJ India
On-board processing elements on UAVs are currently inadequate for training and inference of Deep Neural Networks. This is largely due to the energy consumption of memory accesses in such a network. HadaNets introduce ... 详细信息
来源: 评论
SPECTRE: Visual Speech-Informed Perceptual 3D Facial Expression Reconstruction from Videos
SPECTRE: Visual Speech-Informed Perceptual 3D Facial Express...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Panagiotis P. Filntisis George Retsinas Foivos Paraperas-Papantoniou Athanasios Katsamanis Anastasios Roussos Petros Maragos Institute of Robotics Athena Research Center Maroussi Greece School of Electrical & Computer Engineering National Technical University of Athens Greece Imperial College London UK Institute for Language and Speech Processing Athena R.C. Greece Institute of Computer Science (ICS) Foundation for Research & Technology - Hellas (FORTH) Greece College of Engineering Mathematics and Physical Sciences University of Exeter UK
The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly focused on input coming from a singl...
来源: 评论
Delaunay Triangulation based 3D Human Face Modeling from Uncalibrated Images
Delaunay Triangulation based 3D Human Face Modeling from Unc...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: R. Hassanpour V. Atalay Department of Computer Engineering Çankaya University Ankara Turkey Department of Computer Engineering Middle East Technical University Ankara Turkey
In this paper, we describe an algorithm for generating three dimensional models of human faces from uncalibrated images. Input images are taken by a camera generally with a small rotation around a single axis which ma... 详细信息
来源: 评论
Improved Automating Seismic Facies Analysis Using Deep Dilated Attention Autoencoders
Improved Automating Seismic Facies Analysis Using Deep Dilat...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Zengyan Wang Fangyu Li Thiab R. Taha Hamid R. Arabnia The University of Georgia Athens GA USA
With the dramatic growth and complexity of seismic data, manual annotation of seismic facies has become a significant challenge. The encoder-decoder neural network architecture has been widely used in image segmentati... 详细信息
来源: 评论
Supervised Learning of Edges and Object Boundaries
Supervised Learning of Edges and Object Boundaries
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conference on computer vision and pattern recognition (CVPR)
作者: P. Dollar Zhuowen Tu S. Belongie Computer Science & Engineering University of California San Diego USA Lab of Neuro Imaging University of California Los Angeles USA
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made purely based on low level cues such as... 详细信息
来源: 评论