6 citations · 10 across the 9 of their papers we have counts for
9 papers
PRISM-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Tobacco Product and Legislative Policy Reasoning
Manuel Serna-Aguilera, Raegan Anderes, Page Dobbs +1
The disambiguation of semantically similar statutory text across jurisdictions is a retrieval problem that existing methods do not solve. This inter-context conflict can steer gene…
NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
Manuel Serna-Aguilera, Raegan Anderes, Page Dobbs +1
The nicotine addiction public health crisis continues to be pervasive. In this century alone, the tobacco industry has released and marketed new products in an aggressive effort to…
DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention
Naga VS Raviteja Chappa, Matthew Shepard, Connor McCurtain +3
While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remain frozen in time, especially in the context of social media. The lack of large-sca…
Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
Naga VS Raviteja Chappa, Charlotte McCormick, Susana Rodriguez Gongora +2
The Public Health Advocacy Dataset (PHAD) is a comprehensive collection of 5,730 videos related to tobacco products sourced from social media platforms like TikTok and YouTube. Thi…
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
Naga VS Raviteja Chappa, Page Daniel Dobbs, Bhiksha Raj +1
The proliferation of tobacco-related content on social media platforms poses significant challenges for public health monitoring and intervention. This paper introduces a novel mul…
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
Naga VS Raviteja Chappa, Pha Nguyen, Thi Hoang Ngan Le +1
Group Activity Scene Graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequenc…
REACT: Recognize Every Action Everywhere All At Once
Naga VS Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs +1
Group Activity Recognition (GAR) is a fundamental problem in computer vision, with diverse applications in sports video analysis, video surveillance, and social scene understanding…
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4
This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To…
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4
In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled video dat…