The purpose of the Applied Imagery Pattern Recognition (AIPR) annual workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range of topics, from research to fielded systems and provide to scientists, developers, and managers alike, a broad vision of the applicability of image analysis and machine learning technologies.
Registration is now open!! Early registration ends September 1st!
Early registration discount extended till September 16th.
Plenary Banquet Speaker: Terry Sejnowski, Computational Neurobiology, Salk Institute for Biological Studies and Division of Biological Sciences, University of California, San Diego
- Jason Matheny, Director, IARPA
- Richard Linderman, SES, Office of the Assistant Secretary of Defense, Research and Engineering
- Christopher Rigano, Office of Science and Technology, National Institute of Justice
- Patricia Brennan, Director, National Library of Medicine, National Institutes of Health
- Nick Petrick, Center for Devices and Radiological Health, Food and Drug Administration
- Vijayakumar Bhagavatula, Associate Dean, Carnegie Mellon University
- Trevor Darrell, EECS, University of California-Berkeley
- Steven Brumby, Descartes Labs
- Joe Mundy, Brown University & Vision Systems
- John Kaufhold, Deep Learning Analytics
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
AIPR 2016 Program Chairs:
Prof. Murray Loew, George Washington University
Prof. Kannappan Palaniappan, University of Missouri
email: programchair2016 at aipr-workshop dot org
Please use our Automated Abstract and Paper Submission Page to submit your abstract.