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检索条件"任意字段=29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
90 条 记 录,以下是81-90 订阅
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Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art
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MACHINE vision AND APPLICATIONS 2016年 第8期27卷 1275-1288页
作者: Fuhl, Wolfgang Tonsen, Marc Bulling, Andreas Kasneci, Enkelejda Univ Tubingen Percept Engn Grp Tubingen Germany Max Planck Inst Informat Perceptual User Interfaces Grp Saarbrucken Germany
Robust and accurate detection of the pupil position is a key building block for head-mounted eye tracking and prerequisite for applications on top, such as gaze-based human-computer interaction or attention analysis. ... 详细信息
来源: 评论
MULTI-CLASS WEAthER CLASSIFICATION FROM STILL IMAGE USING SAID ENSEMBLE MEthOD
MULTI-CLASS WEATHER CLASSIFICATION FROM STILL IMAGE USING SA...
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27th Southern African Universities Power Engineering conference (SAUPEC) / 11th Robotics and Mechatronics conference of South Africa (RobMech) / 29th Annual Symposium of pattern-recognition-Association-of-South-Africa (PRASA)
作者: Ajayi, Gbeminiyi Oluwafemi Wang Zenghui Univ South Africa Elect & Min Dept Johannesburg South Africa
In the field of computer vision, multi-class outdoor weather classification is a difficult task to perform due to diversity and lack of distinct weather characteristic or features. this research proposed a novel frame... 详细信息
来源: 评论
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip P...
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ieee conference on computer vision and pattern recognition
作者: Sean Bell C. Lawrence Zitnick Kavita Bala Ross Girshick Cornell University Microsoft Research
It is well known that contextual and multi-scale representations are important for accurate visual recognition. In this paper we present the Inside-Outside Net (ION), an object detector that exploits information both ... 详细信息
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Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
Learning Cross-Domain Landmarks for Heterogeneous Domain Ada...
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ieee conference on computer vision and pattern recognition
作者: Yao-Hung Hubert Tsai Yi-Ren Yeh Yu-Chiang Frank Wang Res. Center for IT Innovation Taipei Taiwan Dept. of Math. Nat. Kaohsiung Normal Univ. Kaohsiung Taiwan
While domain adaptation (DA) aims to associate the learning tasks across data domains, heterogeneous domain adaptation (HDA) particularly deals with learning from cross-domain data which are of different types of feat... 详细信息
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Constrained joint cascade regression framework for simultaneous facial action unit recognition and facial landmark detection
Constrained joint cascade regression framework for simultane...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Wu, Yue Ji, Qiang ECSE Department Rensselaer Polytechnic Institute 110 8th street TroyNY United States
Cascade regression framework has been shown to be effective for facial landmark detection. It starts from an initial face shape and gradually predicts the face shape update from the local appearance features to genera... 详细信息
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To Recognize Families In the Wild: A Machine vision Tutorial  18
To Recognize Families In the Wild: A Machine Vision Tutorial
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26th ACM Multimedia conference (MM)
作者: Robinson, Joseph P. Shao, Ming Fu, Yun Northeastern Univ Boston MA 02115 USA UMass Dartmouth Dartmouth MA 02747 USA
Automatic kinship recognition has relevance in an abundance of applications. For starters, aiding forensic investigations, as kinship is a powerful cue that could narrow the search space (e.g., knowledge that the &quo... 详细信息
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Implementation of a CRNN-based low-power keyword recognition system on FPGA  14
Implementation of a CRNN-based low-power keyword recognition...
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14th ieee International conference on ASIC, ASICON 2021
作者: Guo, Limo Lin, PengXu Guo, Lei Liu, Bo Southeast University School of Electronic Science and Engineering Nanjing210096 China
A low-power and high-precision reconfigurable processor based on optimized convolutional recurrent neural network is proposed for noise robust keyword recognition. In order to create a low-power and high-precision sys... 详细信息
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Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms
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ieee TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 2016年 第7期38卷 1479-88页
作者: Saeidi, Rahim Astudillo, Ramon Fernandez Kolossa, Dorothea Aalto Univ Dept Signal Proc & Acoust Espoo Uusimaa Finland INESC ID Spoken Language Syst Lab Lisbon Portugal Ruhr Univ Bochum Inst Commun Acoust Univ Str 150 Bochum Nrw Germany
Linear discriminant analysis (LDA) is a powerful technique in pattern recognition to reduce the dimensionality of data vectors. It maximizes discriminability by retaining only those directions that minimize the ratio ... 详细信息
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Plasmonic crystal gas sensor incorporating graphene oxide for detection of volatile organic compounds
Plasmonic crystal gas sensor incorporating graphene oxide fo...
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ieee International conference on Micro Electro Mechanical Systems
作者: Shawana Tabassum Qiugu Wang Wentai Wang Seval Oren Md. Azahar Ali Ratnesh Kumar Liang Dong Department of Electrical and Computer Engineering Iowa State University Ames Iowa USA
this paper reports a gas sensor consisting of a thin layer of graphene oxide (GO) assembled on the top surface of mushroom plasmonic nanostructures. the plasmonic crystal structure is formed by an array of polymeric n... 详细信息
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Partial Optimality by Pruning for MAP-Inference with General Graphical Models
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ieee TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 2016年 第7期38卷 1370-82页
作者: Swoboda, Paul Shekhovtsov, Alexander Kappes, Joerg Hendrik Schnoerr, Christoph Savchynskyy, Bogdan Heidelberg Univ Image & Pattern Anal Grp IPA Speyerer Str 6 D-69115 Heidelberg Germany Graz Univ Technol Inst Comp Graph & Vis ICG Inffeldgasse 16 A-8010 Graz Austria Heidelberg Univ Heidelberg Collaboratory Image Proc HCI Speyerer Str 6 D-69115 Heidelberg Germany
We consider the energy minimization problem for undirected graphical models, also known as MAP-inference problem for Markov random fields which is NP-hard in general. We propose a novel polynomial time algorithm to ob... 详细信息
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