Publications

Analyzing Support for U.S. Presidential Candidates in Twitter Polls

Published in Journal of Quantitative Description (JQD:DM) and the International AAAI Conference on Web and Social Media (ICWSM), 2024

We characterize social polls online and leverage machine learning models to describe the demographics, political leanings, and other characteristics of the users who author and interact with social polls. We study the relationship between social poll results, their attributes, and the characteristics of users interacting with them.

Recommended citation: Scarano, S. et al. 2024. Analyzing Support for U.S. Presidential Candidates in Twitter Polls. Journal of Quantitative Description: Digital Media . 4, (May 2024). DOI:https://doi.org/10.51685/jqd.2024.icwsm.4. https://journalqd.org/article/view/5897

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes

Published in International Conference on Computer Vision (ICCV), 2023

We introduce a novel generalization of the Hough transform on SO3 to efficiently find the camera rotation most compatible with optical flow.

Recommended citation: Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, and Erik Learned-Miller. 2023. Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes https://arxiv.org/abs/2309.08588

Published in , 1900