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检索条件"机构=Center of Computer Vision and Pattern Recognition"
74 条 记 录,以下是31-40 订阅
排序:
An Hybrid Attention-Based System for the Prediction of Facial Attributes  4th
An Hybrid Attention-Based System for the Prediction of Fac...
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4th International Workshop on Brain-Inspired Computing, BrainComp 2019
作者: Khellat-Kihel, Souad Sun, Zhenan Tistarelli, Massimo Computer Vision Laboratory University of Sassari Viale Italia 39 Sassari07100 Italy Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Room 1605 Intelligence Bulding 95 Zhongguancun East Road Beijing100190 China Computer Vision Laboratory Department of Biomedical Sciences and Information Technology University of Sassari Viale S. Pietro 43/b Sassari07100 Italy
Recent research on face analysis has demonstrated the richness of information embedded in feature vectors extracted from a deep convolutional neural network. Even though deep learning achieved a very high performance ... 详细信息
来源: 评论
Multiple Classifier Systems  1
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丛书名: Lecture Notes in computer Science
1000年
作者: Nikunj C. Oza Robi Polikar Josef Kittler Fabio Roli
来源: 评论
Sketch-based Facial Expression recognition for Human Figure Drawing Psychological Test
Sketch-based Facial Expression Recognition for Human Figure ...
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Frontiers of Information Technology (FIT)
作者: Momina Moetesum Tasneem Aslam Hassan Saeed Imran Siddiqi Uzma Masroor Bahria University Islamabad PK Center of Computer Vision and Pattern Recognition Bahria University Islamabad Pakistan Dept. of Professional Psychology Bahria University Islamabad Pakistan
Drawing tests have been long used by practitioners for early screening of a number of psychological and neurological impairments. These brain functioning tests are used by psychologists to understand feelings, persona... 详细信息
来源: 评论
Keyword spotting for self-training of BLSTM NN based handwriting recognition systems
Keyword spotting for self-training of BLSTM NN based handwri...
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作者: Frinken, Volkmar Fischer, Andreas Baumgartner, Markus Bunke, Horst Computer Vision Center Autonomous University of Barcelona Edifici O 08193 Bellaterra Barcelona Spain Centre for Pattern Recognition and Machine Intelligence Concordia University 1455 de Maisonneuve Blvd West Montreal QC H3G 1M8 Canada Institute of Computer Science and Applied Mathematics University of Bern Neubrückstrasse 10 CH-3012 Bern Switzerland
The automatic transcription of unconstrained continuous handwritten text requires well trained recognition systems. The semi-supervised paradigm introduces the concept of not only using labeled data but also unlabeled... 详细信息
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Tracking of human motion based on adaptive foreground segmentation and particle filter
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Journal of Test and Measurement Technology 2005年 第3期19卷 320-326页
作者: Li, Wei Zhang, Yun-Hua Wang, Ya-Ming Research Center for Computer Vision and Pattern Recognition Zhejiang University of Sciences Hangzhou 310018 China
An approach to the tracking of trajectories of 3-D human motion from image sequence based on adaptive foreground segmentation and particle filter is proposed in this paper. First, the Gaussian model for image pixel is... 详细信息
来源: 评论
Motion constraint patterns
Motion constraint patterns
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IEEE Workshop on Qualitative vision
作者: C. Fermuller Department for Pattern Recognition and Image Processing Institute for Automation Technical University of of Vienna Vienna Austria Computer Vision Laboratory Center for Automation Research University of Maryland College Park MD USA
The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, ... 详细信息
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Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Box-driven Class-wise Region Masking and Filling Rate Guided...
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IEEE/CVF Conference on computer vision and pattern recognition
作者: Chunfeng Song Yan Huang Wanli Ouyang Liang Wang Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation Chinese Academy of Sciences (CASIA) The University of Sydney SenseTime Computer Vision Research Group
Semantic segmentation has achieved huge progress via adopting deep Fully Convolutional Networks (FCN). However, the performance of FCN based models severely rely on the amounts of pixel-level annotations which are exp... 详细信息
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Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
Med-DANet V2: A Flexible Dynamic Architecture for Efficient ...
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IEEE Workshop on Applications of computer vision (WACV)
作者: Haoran Shen Yifu Zhang Wenxuan Wang Chen Chen Jing Liu Shanshan Song Jiangyun Li School of Automation and Electrical Engineering University of Science and Technology Beijing Center for Research in Computer Vision University of Central Florida National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise complexity. As a pioneering work, a dy...
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Automated scoring of Bender Gestalt Test using image analysis techniques
Automated scoring of Bender Gestalt Test using image analysi...
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International Conference on Document Analysis and recognition
作者: Momina Moetesum Imran Siddiqi Uzma Masroor Chawki Djeddi Center of Computer Vision and Pattern Recognition Bahria University Islamabad Pakistan Dept. of Professional Psychology Bahria University Islamabad Pakistan LAMIS Laboratory Larbi Tebessi University Tebessa Algeria
Drawing tests have been long used by practitioners and researchers for early detection of psychological and neurological impairments. These tests allow subjects to naturally express themselves as opposed to an intervi... 详细信息
来源: 评论
Color constancy and non-uniform illumination: Can existing algorithms work?
Color constancy and non-uniform illumination: Can existing a...
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International Conference on computer vision Workshops (ICCV Workshops)
作者: Michael Bleier Christian Riess Shida Beigpour Eva Eibenberger Elli Angelopoulou Tobias Tröger André Kaup Pattern Recognition Lab University of Erlangen-Nuremberg Germany Computer Vision Center Universidad Autónoma de Barcelona Spain Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Germany
The color and distribution of illuminants can significantly alter the appearance of a scene. The goal of color constancy (CC) is to remove the color bias introduced by the illuminants. Most existing CC algorithms assu... 详细信息
来源: 评论