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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是231-240 订阅
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Proceedings. 1998 ieee computer Society conference on computer vision and pattern recognition (Cat. No.98CB36231)
Proceedings. 1998 IEEE Computer Society Conference on Comput...
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conference on computer vision and pattern recognition (CVPR)
Presents the title page of the proceedings record.
来源: 评论
MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving
MV-TAL: Mulit-view Temporal Action Localization in Naturalis...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Wei Chen, Shimin Gu, Jianyang Wang, Ning Chen, Chen Guo, Yandong OPPO Res Inst Beijing Peoples R China Zhejiang Univ Hangzhou Peoples R China East China Univ Sci & Technol Shanghai Peoples R China
Human risky behavior in driving is an important visual recognition problem. In this paper, we propose a multi-view temporal action localization system based on the grayscale video to achieve action recognition in natu... 详细信息
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Feedback control of event cameras
Feedback control of event cameras
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Delbruck, Tobi Graca, Rui Paluch, Marcin UZH ETH Zurich Inst Neuroinformat Zurich Switzerland
Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parame... 详细信息
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A Scalable High-Performance Hardware Architecture for Real-Time Stereo vision by Semi-Global Matching  29
A Scalable High-Performance Hardware Architecture for Real-T...
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29th ieee conference on computer vision and pattern recognition (CVPR)
作者: Hofmann, Jaco Korinth, Jens Koch, Andreas Tech Univ Darmstadt Embedded Syst & Applicat Grp ESA Darmstadt Germany
Perceiving distance from two camera images, a task called stereo vision, is fundamental for many applications in robotics or automation. However, algorithms that compute this information at high accuracy have a high c... 详细信息
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Event Detection Using Local Binary pattern Based Dynamic Textures
Event Detection Using Local Binary Pattern Based Dynamic Tex...
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ieee-computer-Society conference on computer vision and pattern recognition workshops
作者: Ma, Yunqian Cisar, Petr Honeywell Int Inc 1985 Douglas Dr N Golden Valley MN 55442 USA Honeywell Prague Labs Prague 14800 Czech Republic
Detecting suspicious events from video surveillance cameras has been an important task recently. Many trajectory based descriptors were developed, such as to detect people running or moving in opposite direction. Howe... 详细信息
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recognition of Symmetry Structure by Use of Gestalt Algebra
Recognition of Symmetry Structure by Use of Gestalt Algebra
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Michaelsen, Eckart Muench, David Arens, Michael Fraunhofer IOSB D-76275 Ettlingen Germany
While most approaches to symmetry detection in machine vision try to explain the gray-values or colors of the pixels, Gestalt algebra has no room for such measurement data. The entities (i.e. Gestalten) are only defin... 详细信息
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Area Under the ROC Curve Maximization for Metric Learning
Area Under the ROC Curve Maximization for Metric Learning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gajic, Bojana Amato, Ariel Baldrich, Ramon van de Weijer, Joost Gatta, Carlo Vintra Inc Barcelona Spain Comp Vis Ctr Barcelona Spain
Most popular metric learning losses have no direct relation with the evaluation metrics that are subsequently applied to evaluate their performance. We hypothesize that training a metric learning model by maximizing t... 详细信息
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Filter Distribution Templates in Convolutional Networks for Image Classification Tasks
Filter Distribution Templates in Convolutional Networks for ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Izquierdo-Cordova, Ramon Mayol-Cuevas, Walterio Univ Bristol Dept Comp Sci Bristol Avon England
Neural network designers have reached progressive accuracy by increasing models depth, introducing new layer types and discovering new combinations of layers. A common element in many architectures is the distribution... 详细信息
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ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-up recognition and Explanation of Events in Video
ObjectGraphs: Using Objects and a Graph Convolutional Networ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gkalelis, Nikolaos Goulas, Andreas Galanopoulos, Damianos Mezaris, Vasileios CERTH ITI 6th Km Charilaou Thermi RdPOB 60361 Thessaloniki Greece
In this paper a novel bottom-up video event recognition approach is proposed, ObjectGraphs, which utilizes a rich frame representation and the relations between objects within each frame. Following the application of ... 详细信息
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Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action recognition
Grassmannian Sparse Representations and Motion Depth Surface...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Azary, Sherif Savakis, Andreas Rochester Inst Technol Rochester NY 14623 USA
Manifold learning has been effectively used in computer vision applications for dimensionality reduction that improves classification performance and reduces computational load. Grassmann manifolds are well suited for... 详细信息
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