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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是4951-4960 订阅
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Straight homogeneous generalized cylinders: Differential geometry and uniqueness results.
Straight homogeneous generalized cylinders: Differential geo...
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Proceedings - CVPR '88: computer society conference on computer vision and pattern recognition
作者: Ponce, Jean Stanford Univ Stanford CA USA
The author studies the differential geometry of straight homogeneous generalized cylinders (SHGCs). He derives a necessary and sufficient condition that an SHGC must verify to parameterize a regular surface, computer ... 详细信息
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Integrated cellular and gene interaction model for cell migration in embryonic development
Integrated cellular and gene interaction model for cell migr...
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2010 ieee International conference on Bioinformatics and Biomedicine workshops, BIBMW 2010
作者: Nguyen, Hien Song, Mingzhou Joe Department of Computer Science New Mexico State University Las Cruces NM 88003 United States
The relationship between cellular behaviors and protein concentrations is central for embryonic development. An integrated cellular and gene interaction model is proposed to reveal this relationship. Protein concentra... 详细信息
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Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
Exploiting the Complementarity of 2D and 3D Networks to Addr...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Adriano Cardace Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano Department of Computer Science and Engineering (DISI) University of Bologna Italy
3D semantic segmentation is a critical task in many real-world applications, such as autonomous driving, robotics, and mixed reality. However, the task is extremely challenging due to ambiguities coming from the unstr...
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An Embedded Solution to Visual Mapping for Consumer Drones
An Embedded Solution to Visual Mapping for Consumer Drones
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Guyue Zhou Ang Liu Kang Yang Tao Wang Zexiang Li Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong PR China Dajiang Innovations Technology Co. Ltd Shenzhen P.R. China
In this paper, we propose a real-time visual mapping scheme which can be implemented on a low-cost embedded system for consumer-level ratio control (RC) drones. In our work, a 3-dimensional occupancy grid map is obtai... 详细信息
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Gait Analysis with Trinocular computer vision Using Deep Learning
Gait Analysis with Trinocular Computer Vision Using Deep Lea...
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2023 ieee International conference on Image Processing Challenges and workshops, ICIPCW 2023
作者: Stavrakakis, Odysseas Mastrogeorgiou, Athanasios Smyrli, Aikaterini Papadopoulos, Evangelos School of Mechanical Engineering National Technical University of Athens Control Systems Lab Greece
The recent years' progress in deep learning (DL) technology has resulted in convolutional neural networks (CNNs) capable of producing fast and accurate results, with minimal data preprocessing. Currently, gait ana... 详细信息
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Investigating how and when perceptual organization cues improve boundary detection in natural images
Investigating how and when perceptual organization cues impr...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Leandro A. Loss George Bebis Mircea Nicolescu Alexei Skurikhin Computer Vision Laboratory University of Nevada Reno USA Space and Remote Sensing Sciences Los Alamos National Laboratory USA
Boundary detection in natural images represents an important but also challenging problem in computer vision. Motivated by studies in psychophysics claiming that humans use multiple cues for segmentation, several prom... 详细信息
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Semantic Visual Understanding of Indoor Environments: From Structures to Opportunities for Action
Semantic Visual Understanding of Indoor Environments: From S...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Grace Tsai Collin Johnson Benjamin Kuipers Dept. of Electrical Engineering and Computer Science University of Michigan
We present a two-layer representation of the locally sensed 3D indoor environment. Our representation moves one step forward from capturing the geometric structure of the environment to reason about the navigation opp... 详细信息
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Indirect Symbolic Correlation Approach to Unsegmented Text recognition
Indirect Symbolic Correlation Approach to Unsegmented Text R...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: G. Nagy S. C. Seth S. K. Mehta Y. Lin University of Nebraska Lincoln USA Indian Institute of Technology Kanpur India Rensselaer Polytechnic Institute Troy NY USA
The new non-parametric approach to unsegmented text recognition builds two bipartite graphs that result from the feature-level and lexical comparisons of the same word against a reference string which need not include... 详细信息
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Embedded fall detection with a neural network and bio-inspired stereo vision
Embedded fall detection with a neural network and bio-inspir...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Martin Humenberger Stephan Schraml Christoph Sulzbachner Ahmed Nabil Belbachir Ágoston Srp Ferenc Vajda Austrian Institute of Technology GmbH Vienna Austria Budapest University슠of슠Technology슠and슠Economics Budapest Hungary
In this paper, we present a bio-inspired, purely passive, and embedded fall detection system for its application towards safety for elderly at home. Bio-inspired means the use of two optical detector chips with event-... 详细信息
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A new robust operator for computer vision: theoretical analysis
A new robust operator for computer vision: theoretical analy...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Stewart Department of Computer Science Rensselaer Polytechnic Institute Troy NY USA
MINPRAN, a new robust operator, finds good fits in data sets where more than 50% of the points are outliers. Unlike other techniques that handle large outlier percentages, MINPRAN does not rely on a known error bound ... 详细信息
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