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.
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
10月18日
2016
10月20日
2016
摘要截稿日期
初稿录用通知日期
注册截止日期
初稿截稿日期
终稿截稿日期
2021年10月12日 美国 Washington
2021 IEEE Applied Imagery Pattern Recognition Workshop2018年10月09日 美国
2018 IEEE Applied Imagery Pattern Recognition Workshop2017年10月10日 美国
2017 IEEE应用图像模式识别研讨会2015年10月13日 美国
2015年IEEE应用影像模式识别研讨会2014年10月14日 美国
2014年IEEE应用影像模式识别研讨会2013年10月23日 美国
2013 IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation
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