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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231-240 订阅
排序:
Incremental focus of attention for robust visual tracking
Incremental focus of attention for robust visual tracking
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Toyama, K Hager, GD YALE UNIV DEPT COMP SCINEW HAVENCT 06520
We present the Incremental Focus of Attention (IFA) architecture for adding robustness to software-based, real-time, motion trackers. The framework provides a structure which, when given the entire camera image to sea... 详细信息
来源: 评论
On Visible Adversarial Perturbations & Digital Watermarking  31
On Visible Adversarial Perturbations & Digital Watermarking
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hayes, Jamie UCL London England
Given a machine learning model, adversarial perturbations transform images such that the model's output is classified as an attacker chosen class. Most research in this area has focused on adversarial perturbation... 详细信息
来源: 评论
Formulating Action recognition as a Ranking Problem
Formulating Action Recognition as a Ranking Problem
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Can, Ethem F. Manmatha, R. Univ Massachusetts Sch Comp Sci Amherst MA 01003 USA
Action recognition is one of the major challenges of computer vision. Several approaches have been proposed using different descriptors and multi-class models. In this paper, we focus on binary ranking models for the ... 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
Driver state monitor from DELPHI
Driver state monitor from DELPHI
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conference on computer vision and pattern recognition
作者: Edenborough, N Hammoud, R Harbach, A Ingold, A Kisacanin, B Malawey, P Newman, T Scharenbroch, G Skiver, S Smith, M Wilhelm, A Witt, G Yoder, E Zhang, H Delphi Electronics and Safety United States
We present an automotive-grade, real-time, vision-based Driver State Monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or di... 详细信息
来源: 评论
A Critical Review of Action recognition Benchmarks
A Critical Review of Action Recognition Benchmarks
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Hassner, Tal Open Univ Israel Raanana Israel
Understanding human actions in videos has been a central research theme in computer vision for decades, and much progress has been achieved over the years. Much of this progress was demonstrated on standard benchmarks... 详细信息
来源: 评论
Affine structure and photometry
Affine structure and photometry
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Rosenholtz, R Koenderink, JJ UNIV UTRECHT HELMHOLTZ INSTNL-3584 CC UTRECHTNETHERLANDS
Motion of an observer relative to objects in a scene provides information about the structure of the scene. Changing patterns of shading due to motion relative to the light source provide information about surface str... 详细信息
来源: 评论
Soccer image sequence computed by a virtual camera
Soccer image sequence computed by a virtual camera
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1998 ieee computer-society conference on computer vision and pattern recognition
作者: Matsui, K Iwase, M Agata, M Tanaka, TT Ohnishi, N Nagoya Univ Dept Informat Engn Chikusa Ku Nagoya Aichi 4648603 Japan
To create a more realistic soccer game derived from TV images, we developed an image synthesis system that generates an image sequence from the viewpoint of a player on the field. Tills system is based on the camera c... 详细信息
来源: 评论
Fusing Visual Saliency for Material recognition  31
Fusing Visual Saliency for Material Recognition
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Qi, Lin Xu, Ying Shang, Xiaowei Dong, Junyu Ocean Univ China 238 Songling Rd Qingdao 266100 Peoples R China
Material recognition is researched in both computer vision and vision science fields. In this paper, we investigated how humans observe material images and found the eye fixation information improves the performance o... 详细信息
来源: 评论
Motion from fixation
Motion from fixation
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Soatto, S Perona, P CALTECH PASADENACA 91125
We study the problem of estimating rigid motion from a sequence of monocular perspective images obtained by navigating around an object while fixating a particular feature point. We cast the problem in the framework o... 详细信息
来源: 评论