5 citations · 5 across the 2 of their papers we have counts for
3 papers
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
Marc Bosch, Joseph Nassar, Benjamin Ortiz +5
With the proliferation of imaging sensors, the volume of multi-modal imagery far exceeds the ability of human analysts to adequately consume and exploit it. Full motion video (FMV)…
A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
Benjamin Ortiz, David Lindenbaum, Joseph Nassar +5
Organizations are starting to realize of the combined power of data and data-driven algorithmic models to gain insights, situational awareness, and advance their mission. A common…
Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision
Joseph Nassar, Viveca Pavon-Harr, Marc Bosch +1
Current supervised deep learning frameworks rely on annotated data for modeling the underlying data distribution of a given task. In particular for computer vision algorithms power…