2 citations · 3 across the 3 of their papers we have counts for
10 papers · 1 filter
Motif Mining: Finding and Summarizing Remixed Image Content
William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael +3
On the internet, images are no longer static; they have become dynamic content. Thanks to the availability of smartphones with cameras and easy-to-use editing software, images can…
Learning Transformation-Aware Embeddings for Image Forensics
Aparna Bharati, Daniel Moreira, Patrick Flynn +3
A dramatic rise in the flow of manipulated image content on the Internet has led to an aggressive response from the media forensics research community. New efforts have incorporate…
Automatic Discovery of Political Meme Genres with Diverse Appearances
William Theisen, Joel Brogan, Pamela Bilo Thomas +4
Forms of human communication are not static -- we expect some evolution in the way information is conveyed over time because of advances in technology. One example of this phenomen…
Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval
Joel Brogan, Aparna Bharati, Daniel Moreira +4
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working onContent-Ba…
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
Nathaniel Blanchard, Daniel Moreira, Aparna Bharati +1
In the last decade, video blogs (vlogs) have become an extremely popular method through which people express sentiment. The ubiquitousness of these videos has increased the importa…
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
Adam Czajka, Daniel Moreira, Kevin W. Bowyer +1
Binarized statistical image features (BSIF) have been successfully used for texture analysis in many computer vision tasks, including iris recognition and biometric presentation at…