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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是101-110 订阅
排序:
As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States recognition
As Seen on TV: Automatic Basketball Video Production using G...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Quiroga, Julian Carrillo, Henry Maldonado, Edisson Ruiz, John Zapata, Luis M. Genius Sports Comp Vis Medellin Colombia
Automatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a... 详细信息
来源: 评论
Diagnosing Rarity in Human-object Interaction Detection
Diagnosing Rarity in Human-object Interaction Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kilickaya, Mert Smeulders, Arnold QUvA Deep Vis Lab Amsterdam Netherlands
Human-object interaction (HOI) detection is a core task in computer vision. The goal is to localize all human-object pairs and recognize their interactions. An interaction defined by a tuple leads to a long-tailed vi... 详细信息
来源: 评论
Object Tracking by Occlusion Detection via Structured Sparse Learning
Object Tracking by Occlusion Detection via Structured Sparse...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Tianzhu Ghanem, Bernard Xu, Changsheng Ahuja, Narendra Adv Digital Sci Ctr Illinois Singapore Singapore King Abdulaziz Univ Sci Technol Thuwal Saudi Arabia Chinese Acad Sci Inst Automat CSIDM Beijing Peoples R China Univ Illinois Urbana IL 61801 USA
Sparse representation based methods have recently drawn much attention in visual tracking due to good performance against illumination variation and occlusion. They assume the errors caused by image variations can be ... 详细信息
来源: 评论
Does Image Anonymization Impact computer vision Training?
Does Image Anonymization Impact Computer Vision Training?
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hukkelas, Hakon Lindseth, Frank Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway
Image anonymization is widely adapted in practice to comply with privacy regulations in many regions. However, anonymization often degrades the quality of the data, reducing its utility for computer vision development... 详细信息
来源: 评论
Attention! Stay Focus!
Attention! Stay Focus!
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vo, Tu BridgeAI Inc Seoul South Korea
We develop a deep convolutional neural networks (CNNs) to deal with the blurry artifacts caused by the defocus of the camera using dual-pixel images. Specifically, we develop a double attention network which consists ... 详细信息
来源: 评论
Land Cover Classification from Satellite Imagery With U-Net and Lovasz-Softmax Loss  31
Land Cover Classification from Satellite Imagery With U-Net ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rakhlin, Alexander Davydow, Alex Nikolenko, Sergey Neuromat OU EE-10111 Tallinn Estonia
The land cover classification task of the DeepGlohe Challenge presents significant obstacles even to state of the art segmentation models due to a small amount of data, incomplete and sometimes incorrect labeling, and... 详细信息
来源: 评论
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Revisiting The Evaluation of Class Activation Mapping for Ex...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Poppi, Samuele Cornia, Marcella Baraldi, Lorenzo Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy
As the request for deep learning solutions increases, the need for explainability is even more fundamental. In this setting, particular attention has been given to visualization techniques, that try to attribute the r... 详细信息
来源: 评论
A Stream Algebra for computer vision Pipelines
A Stream Algebra for Computer Vision Pipelines
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Helala, Mohamed A. Pu, Ken Q. Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON Canada
Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images an... 详细信息
来源: 评论
Sparklevision: Seeing the World through Random Specular Microfacets
SparkleVision: Seeing the World through Random Specular Micr...
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ieee conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Zhengdong Isola, Phillip Adelson, Edward H. MIT Cambridge MA 02139 USA
In this paper, we study the problem of reproducing the light from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized ma... 详细信息
来源: 评论
Decoupling Sparse Coding with Fusion of Fisher Vectors and Scalable SVMs for Large-scale Visual recognition
Decoupling Sparse Coding with Fusion of Fisher Vectors and S...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Ji, Zhengping Samsung Semicond Inc Adv Image Res Lab Pasadena CA 91101 USA
With the advent of huge collection of images from Internet and emerging mobile devices, large-scale image classification draws amount of research attention in computer vision and AI communities. The advancement of lar... 详细信息
来源: 评论