Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
Building systems that can understand visual concepts and describe them coherently in natural language is fundamental to artificial intelligence. Advances in machine learning have had a profound impact on computer vision and natural language processing. In particular, there has been great progress in research on object detection, descriptions of images, and video of ordinary scenes and street views captured by personal cameras. These advances have relied heavily on visual features extracted from systems trained on a large volume of strong labels (boundary boxes drawn around the designated objects). The process for acquiring such data can be expensive and time consuming. An easier and less time-consuming approach to annotating an image or sequence of images is to provide weak labels -- determining what objects, entities and characteristics are present or describing the inferred and perceived activities in natural language. Sometimes these weak labels (image level annotations) can be noisy and may provide only positive labeling. The proposed research could include one or both of the following tasks:
Relevance to the Intelligence Community:
Using weak labels in object and activity detection would increase Intelligence Community efficiency. "If we were to attempt to manually exploit the commercial satellite imagery we expect to have over the next 20 years, we would need eight million imagery analysts." (Robert Cardillo, NGA Director, GEOINT Symposium 2017)
Key Words: Image Description, Object Detection, Multiple Instance Learning, Weak Labels, Weak Supervision, Computer Vision, Natural Language Processing