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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是251-260 订阅
排序:
Estimating (and fixing) the Effect of Face Obfuscation in Video recognition
Estimating (and <i>fixing</i>) the Effect of Face Obfuscatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tomei, Matteo Baraldi, Lorenzo Bronzin, Simone Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy Metaliquid Srl Milan Italy
Recent research has shown that faces can be obfuscated in large-scale datasets with a minimal performance impact on image classification and downstream tasks like object recognition. In this paper, we investigate the ... 详细信息
来源: 评论
Delta Sampling R-BERT for limited data and low-light action recognition
Delta Sampling R-BERT for limited data and low-light action ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hira, Sanchit Das, Ritwik Modi, Abhinav Pakhomov, Daniil Johns Hopkins Univ Baltimore MD 21218 USA
We present an approach to perform supervised action recognition in the dark. In this work, we present our results on the ARID dataset[60]. Most previous works only evaluate performance on large, well illuminated datas... 详细信息
来源: 评论
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
NTIRE 2021 Challenge on Quality Enhancement of Compressed Vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Ren Timofte, Radu Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The challenge is the first NTIRE challenge i... 详细信息
来源: 评论
Linear fitting with missing data: Applications to structure-from-motion and to characterizing intensity images
Linear fitting with missing data: Applications to structure-...
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1997 ieee computer society conference on computer vision and pattern recognition (CVPR 97)
作者: Jacobs, D NEC Research Inst Princeton United States
Several vision problems can be reduced to the problem of fitting a linear surface of low dimension to data, including the problems of structure-from-affine-motion, and of characterizing the intensity images of a Lambe... 详细信息
来源: 评论
Addressing System-Level Optimization with OpenVX Graphs
Addressing System-Level Optimization with OpenVX Graphs
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Rainey, Erik Villarreal, Jesse Dedeoglu, Goksel Pulli, Kari Lepley, Thierry Brill, Frank Texas Instruments Inc Dallas TX 75265 USA LLC PercepTon Dallas TX 75265 USA NVIDIA Santa Clara CA 95050 USA
During the performance optimization of a computer vision system, developers frequently run into platform-level inefficiencies and bottlenecks that can not be addressed by traditional methods. OpenVX is designed to add... 详细信息
来源: 评论
Selection and fusion of color models for feature detection
Selection and fusion of color models for feature detection
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conference on computer vision and pattern recognition
作者: Stokman, H Gevers, T Univ Amsterdam Intelligent Syst Lab Amsterdam Netherlands
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actual algorithms. However the problem is ... 详细信息
来源: 评论
Representation and optimal recognition of human activities
Representation and optimal recognition of human activities
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ieee conference on computer vision and pattern recognition (CVPR 2000)
作者: Hongeng, S Brémond, F Nevatia, R Univ So Calif Inst Robot & Intelligent Syst Los Angeles CA 90089 USA
Towards the goal of realizing a generic automatic human activity recognition system, a new formalism is proposed. Activities are described by a chained hierarchical representation using three type of entities: image f... 详细信息
来源: 评论
Utility data annotation with Amazon Mechanical Turk
Utility data annotation with Amazon Mechanical Turk
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ieee conference on computer vision and pattern recognition
作者: Sorokin, Alexander Forsyth, David Univ Illinois Urbana IL 61820 USA
We show how to outsource data annotation to Amazon Mechanical Turk. Doing so has produced annotations in quite large numbers relatively cheaply. The quality is good, and can be checked and controlled. Annotations are ... 详细信息
来源: 评论
Invariant histograms and deformable template matching for SAR target recognition
Invariant histograms and deformable template matching for SA...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Ikeuchi, K Shakunaga, T Wheeler, MD Yamazaki, T CARNEGIE MELLON UNIV SCH COMP SCIPITTSBURGHPA 15213
Recognizing a target in synthetic-aperture radar (SAR) images is an important, yet challenging, application of the model-based vision technique. This paper describes a model-based SAR recognition system based on invar... 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