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Entity-Based Scene Understanding

This thesis focuses on the task of entity-based scene understanding: automatically identifying the entities in a visual scene as described by multiple captions.

From Route Instructions to Landmark Graphs

This projects sought to bridge the gap between mapping technologies and people’s mental maps by automatically constructing graphical representations of landmarks and how they relate in space from natural language route instructions.

Ulterior

This goal of this project was to investigate and develop approaches to thwart information extraction capabilities.

publications

Toward Robust Characterization of Lung Diseases: A Sensitivity Analysis of Lung Computed Tomography Biomarkers to Registration Error

Published in Johns Hopkins Applied Physics Laboratory (JHU/APL) Technical Digest, 1900

Recommended citation: Hingorani, R., Brown, N., Cervantes, C., Brown, R., Gearhart, A. (2022). "Toward Robust Characterization of Lung Diseases: A Sensitivity Analysis of Lung Computed Tomography Biomarkers to Registration Error" Johns Hopkins Applied Physics Laboratory Technical Digest. /files/2022_hingorani_toward.pdf