SILICON VALLEY 8-11 MAY 2017
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Video & Image Processing

Check out this collection of posters to see how others in video & image processing are accelerating their work with the power of GPUs.

 
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    A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows

    Timothy Blattner, Computer Science Trainee, NIST

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    G-Storm: GPU-Aware Scheduling in Storm

    Cheng-Hao Huang, Student, National Tsing Hua University

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    GPU Implementation and Optimization of Video Super-Resolution

    Bo Xiao, Research Scientist, Baidu Research SVAIL

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    Large Time Series Single-Molecule Tracking Including Defocus and Motion Blur Control

    Xu Xiaochun, Research Associate, National University of Singapore

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    QuickEye: Highly Efficient Face Detection & Recognition in Large Video Using Hadoop GPU-cluster

    Illo Yoon, Graduate Student, University of Seoul

 
 

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