Keynote Speakers for AIPR 2017:
Dr. Robert Hummel - Chief Scientist and VP of Research, Potomac Institute for Policy Studies (currently serving on an IPA assignment at the National Geospatial-Intelligence Agency). Talk Title: "Machine Learning and Big Data Applied to Video Analytics"
Dr. Joao Pedro Wagner De Azevedo - Senior Economist, Europe & Central Asia, World Bank Group. Talk Title: "Measuring Global Poverty"
Mr. Chris Rasmussen - Unclassified GEOINT Pathfinder Program Manager, National Geospatial-Intelligence Agency. Talk Title: “The Automation of GEOINT and Impact on Skills”
Dr. Hava Seigelman - Program Manager, Microsystems Technology Office (MTO), Defense Advanced Research Projects Agency.
Banquet Speaker: Mr. Jack O’Connor - Talk Title: “What to pick, what to follow, and what to ignore: How image science and engineering forces intelligence analysts to think differently”
Biography: Jack O’Connor retired from CIA in 2013, after more than 30 years of service, managing and leading support, analysis, and staff organizations. He spent his first 15 years at NPIC, and the remainder serving in NIMA and NGA (The National Geospatial-Intelligence Agency) the agency now responsible for national imagery and geospatial intelligence. Throughout his career, Jack received more than 25 awards, including the National Intelligence Medal of Achievement in 2004 and the Office of the Director of National Intelligence Galileo Award in 2005. Jack now focuses on developing analysts and leaders in the geospatial community and elsewhere. He has coached leaders and executives since 2008, and is an ICF-certified graduate of the Georgetown Leadership Coaching Program. He now brings his experience leading in environments of risk, volatility, and significant consequence to his work as coach, consultant, and researcher. He is author of the book NPIC: Seeing the Secrets and Growing the Leaders: A Cultural History of the National Photographic Interpretation Center, by Acumensa Solutions in 2015.
- Dr. Bruce Quirk - Principal Remote Sensing Scientist, Land Remote Sensing Program, U.S. Geological Survey.
Talk Title: “UAS Technology for Monitoring Wildlife and Natural Resources”
- Mr. Jason Brown – Technical Account Manager, Planet. Talk Title: “Classifying Change with Truly Multi-Temporal Change Detection Techniques”
Workshop Technical Sessions:
- Machine Learning and Computer Vision
- Deep Learning
- Medical Imaging
- Remote Sensing
- Robotics and Tracking
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.
Big data analytics and advanced computer hardware have pushed the limits of computational imaging and machine vision, yielding extraordinary results in domains such as:
- Robotics and autonomous systems - unmanned aerial vehicles and self-driving cars
- Big imaging datasets for medical, atmospheric, neurological, and more – in the commercial sector and across the disciplines like connectomics, deep learning, and biologically-inspired AI methods
- Cloud computing - Scalable and inexpensive parallel computational resources both local and in the cloud
The 2017 IEEE AIPR Workshop will explore these reemerging intersections and synergies between imaging, Big Data and computer hardware, 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, theoretical insights and hardware developments to the interplay between imaging and artificial intelligence. 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
- Situational awareness: biometrics, surveillance, anomaly detection, environmental monitoring, video analytics, mixed and augmented reality
- Remote sensing: space-time processing, change detection, natural resource monitoring, enabling cloud applications
- Medical and biological applications: diagnosis, intervention, prognosis, telediagnostics, global health, scientific discovery
- AI tools for assisted image analysis, deep learning, visualization, performance metrics and evaluation methodologies
- Data Parallel architectures
- Advanced AI and machine hardware developments
- Historical accounts of machine vision development
The deadline for abstracts is: 15 August 2017
AIPR 2017 Program Chairs:
- Robert Pless, George Washington University
- John Irvine, Draper Laboratory
- Pete Doucette, USGS
Please use our Automated Abstract and Paper Submission Page to submit your abstract (150 - 300 words).
The Workshop will include oral and poster presentations, and several keynote talks that provide in-depth overviews of the fields. Written papers will be required (due after the workshop) and will be indexed in IEEE Xplore.