45 citations · 48 across the 6 of their papers we have counts for
8 papers
Image Provenance Analysis at Scale
Daniel Moreira, Aparna Bharati, Joel Brogan +6
Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of transformations that have been applied to the c…
Coupling Story to Visualization: Using Textual Analysis as a Bridge Between Data and Interpretation
Ronald Metoyer, Qiyu Zhi, Bart Janczuk +1
Online writers and journalism media are increasingly combining visualization (and other multimedia content) with narrative text to create narrative visualizations. Often, however,…
Deja vu: Scalable Place Recognition Using Mutually Supportive Feature Frequencies
Adam Jacobson, Walter Scheirer, Michael Milford
Learning and recognition is a fundamental process performed in many robot operations such as mapping and localization. The majority of approaches share some common characteristics,…
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Jeff Kinnison, Nathaniel Kremer-Herman, Douglas Thain +1
Computer vision is experiencing an AI renaissance, in which machine learning models are expediting important breakthroughs in academic research and commercial applications. Effecti…
Provenance Filtering for Multimedia Phylogeny
Allan Pinto, Daniel Moreira, Aparna Bharati +5
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence d…
U-Phylogeny: Undirected Provenance Graph Construction in the Wild
Aparna Bharati, Daniel Moreira, Allan Pinto +5
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through…