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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

projects

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

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Published in International Conference on Computer Vision (ICCV), 1900

Recommended citation: Plummer, B., Wang, L., Cervantes, C., Caicedo, J., Hockenmaier, J., Lazebnik, S. (2015). "Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models" International Conference on Computer Vision. https://openaccess.thecvf.com/content_iccv_2015/papers/Plummer_Flickr30k_Entities_Collecting_ICCV_2015_paper.pdf

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues

Published in International Conference on Computer Vision (ICCV), 1900

Recommended citation: Plummer, B., Mallya, A., Cervantes, C., Hockenmaier, J., Lazebnik, S. (2017). "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues" International Conference on Computer Vision. https://openaccess.thecvf.com/content_ICCV_2017/papers/Plummer_Phrase_Localization_and_ICCV_2017_paper.pdf

On characterizing the sensitivity of lung computed tomography biomarkers to registration error

Published in Medical Imaging 2022: Image Processing, 1900

Recommended citation: Hingorani, R., Brown, N., Cervantes, C., Brown, R., Gearhart, A. (2022). "On characterizing the sensitivity of lung computed tomography biomarkers to registration error" SPIE Medical Imaging 2022: Image Processing. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12032/2611087/On-characterizing-the-sensitivity-of-lung-computed-tomography-biomarkers-to/10.1117/12.2611087.short

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. https://www.jhuapl.edu/Content/techdigest/pdf/V36-N03/36-03-Hingorani.pdf