11 citations · 19 across the 7 of their papers we have counts for
10 papers
Deep Learning for Robust Motion Segmentation with Non-Static Cameras
Markus Bosch
This work proposes a new end-to-end DCNN based approach for motion segmentation, especially for video sequences captured with such non-static cameras, called MOSNET. While other ap…
Improving Emergency Response during Hurricane Season using Computer Vision
Marc Bosch, Christian Conroy, Benjamin Ortiz +1
We have developed a framework for crisis response and management that incorporates the latest technologies in computer vision (CV), inland flood prediction, damage assessment and d…
Improving Community Resiliency and Emergency Response With Artificial Intelligence
Ben Ortiz, Laura Kahn, Marc Bosch +4
New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the…
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…