11 citations · 11 across the 4 of their papers we have counts for
5 papers
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling
Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham +2
Multimodal event argument role labeling (EARL), a task that assigns a role for each event participant (object) in an image is a complex challenge. It requires reasoning over the en…
Fusion Strategies for Learning User Embeddings with Neural Networks
Philipp Blandfort, Tushar Karayil, Federico Raue +2
Growing amounts of online user data motivate the need for automated processing techniques. In case of user ratings, one interesting option is to use neural networks for learning to…
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort, Jörn Hees, Desmond U. Patton
It is said that beauty is in the eye of the beholder. But how exactly can we characterize such discrepancies in interpretation? For example, are there any specific features of an i…
The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images
Tushar Karayil, Philipp Blandfort, Jörn Hees +1
Subjective visual interpretation is a challenging yet important topic in computer vision. Many approaches reduce this problem to the prediction of adjective- or attribute-labels fr…
Multimodal Social Media Analysis for Gang Violence Prevention
Philipp Blandfort, Desmond Patton, William R. Frey +9
Gang violence is a severe issue in major cities across the U.S. and recent studies [Patton et al. 2017] have found evidence of social media communications that can be linked to suc…