活动简介

The limits of computational imaging, vision, and artificial intelligence (AI) are being pushed by advances such as:

  • Robotics and autonomous systems -- unmanned aerial vehicles and self-driving cars

  • Big imaging datasets – in the commercial sector and across the disciplines like connectomics, deep learning, and biologically-inspired AI methods

  • Scalable and inexpensive parallel computational resources both local and in the cloud; novel display technologies

The 2016 IEEE AIPR Workshop will explore these reemerging intersections and synergies between imaging and AI, continuing the workshop’s long tradition of bringing together researchers and developers who span the disciplines and work in labs across academia, industry, and government. The Workshop Committee invites papers that present new techniques, algorithms, analysis, applications, visualizations, systems, and theoretical insights to the interplay between imaging and artificial intelligence. Student papers are eligible for the Best Student Paper award. 

征稿信息

重要日期

2016-05-31
摘要截稿日期
2016-11-30
初稿截稿日期
2016-06-30
初稿录用日期
2016-11-30
终稿截稿日期

征稿范围

Topics include, but are not limited to, the following:

  • Image-based autonomous capabilities in transportation, medicine, robotics, manufacturing, defense, space

  • Image understanding: captioning, inference, retrieval, summarization, scene modeling

  • AI tools for assisted image analysis, deep learning, visualization, performance metrics and evaluation methodologies

  • Medical applications: diagnosis, intervention, prognosis, telediagnostics, global health

  • Biological applications: scientific discovery, high-throughput, translational potential

  • Situational awareness: biometrics, surveillance, anomaly detection, environmental monitoring, video analytics, mixed and augmented reality

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重要日期
  • 会议日期

    10月18日

    2016

    10月20日

    2016

  • 05月31日 2016

    摘要截稿日期

  • 06月30日 2016

    初稿录用通知日期

  • 10月20日 2016

    注册截止日期

  • 11月30日 2016

    初稿截稿日期

  • 11月30日 2016

    终稿截稿日期

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IEEE
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