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1
Introducing IEEE Collabratec
Introducing IEEE Collabratec
unknown / unknown / 2016

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Naver
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2
A Vision Processor With a Unified Interest-Point Detection and Matching Hardware for Accelerating a Stereo-Matching Algorithm
A Vision Processor With a Unified Interest-Point Detection and Matching Hardware for Accelerating a Stereo-Matching Algorithm
Park, J. / Park, J. / 2016

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Naver
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3
Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes
Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes
Castanon, G. / Castanon, G. / 2016

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Naver
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4
Cast2Face: Assigning Character Names Onto Faces in Movie With Actor-Character Correspondence
Cast2Face: Assigning Character Names Onto Faces in Movie With Actor-Character Correspondence
Gao, G. / Gao, G. / 2016

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Naver
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5
Improving QoE and Fairness in HTTP Adaptive Streaming Over LTE Network
Improving QoE and Fairness in HTTP Adaptive Streaming Over LTE Network
Cicalo, S. / Cicalo, S. / 2016

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Naver
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6
Multi-loss Regularized Deep Neural Network
Multi-loss Regularized Deep Neural Network
Xu, C. / Xu, C. / 2016

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Naver
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7
Visual Focus of Attention Estimation With Unsupervised Incremental Learning
Visual Focus of Attention Estimation With Unsupervised Incremental Learning
Duffner, S. / Duffner, S. / 2016

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Naver
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8
Action Recognition by Time Series of Retinotopic Appearance and Motion Features
Action Recognition by Time Series of Retinotopic Appearance and Motion Features
Barrett, D. P. / Barrett, D. P. / 2016

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Naver
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9
A Consensus Model for Motion Segmentation in Dynamic Scenes
A Consensus Model for Motion Segmentation in Dynamic Scenes
Nguyen, T. M. / Nguyen, T. M. / 2016

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Naver
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10
Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering
Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering
Cao, Y. / Cao, Y. / 2016

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Naver
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