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This thesis focuses on the task of entity-based scene understanding: automatically identifying the entities in a visual scene as described by multiple captions.
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.
The project sought to formalize unstructured information: transforming text into knowledge graphs.
In this project, we investigated methods for characterizing changes in lung function in COPD patients.
This goal of this project was to investigate and develop approaches to thwart information extraction capabilities.
Published in Advances in Cognitive Systems (ACS), 1900
Recommended citation: Cervantes, C. & Fu, W. (2013). "Narrative Fragment Creation: An Approach for Learning Narrative Knowledge" Advances in Cognitive Systems. /files/2013_cervantes_narrative.pdf
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. /files/2015_plummer_flickr30k.pdf
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. /files/2017_plummer_phrase.pdf
Published in University of Illinois at Urbana-Champaign (UIUC) Master's Thesis, 1900
Recommended citation: Cervantes, C. (2018). "Entity-Based Scene Understanding" Master's thesis. University of Illinois at Urbana-Champaign (UIUC) /files/2018_cervantes_entity.pdf
Published in arXiv preprint, 1900
Recommended citation: Cervantes, C. (2020). "From Route Instructions to Landmark Graphs" arXiv preprint. /files/2020_cervantes_landmark.pdf
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.
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
Published in New Treatments and Novel Targets for COPD and Alpha-1. American Thoracic Society., 1900
Recommended citation: Balasubramanian, A., et al. (2023). "Estimating Rate of Lung Function Change Using Clinical Spirometry Data." B22. New Treatments and Novel Targets for COPD and Alpha-1. American Thoracic Society. /files/2023_balasubramanian_estimating.pdf
Published in International Conference on Assured Autonomy (ICAA), 1900
Recommended citation: M.V. Clemens-Sewall, E. Rafkin, & C. Cervantes. 2024. Domain Knowledge Elicitation for Data Curation to Promote Trustworthiness in Artificial Intelligence. International Conference on Assured Autonomy (ICAA) /files/2024_clemens_domain.pdf
Published in BMJ Open Respiratory Research, 1900
Recommended citation: A. Balasubramanian, C. Cervantes, A. Gearhart, N. Putcha, A. Fawzy, M. McCormack, A. Singh, R. Wise, & N. Hansel. 2024. Estimating Rate of Lung Function Change Using Clinical Spirometry Data. BMJ Open Respiratory Research. /files/2024_cervantes_estimating.pdf