6 citations · 10 across the 7 of their papers we have counts for
7 papers
Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
Naga VS Raviteja Chappa, Evangelos Sariyanidi, Lisa Yankowitz +4
Micro-actions are subtle, localized movements lasting 1-3 seconds such as scratching one's head or tapping fingers. Such subtle actions are essential for social communication, ubiq…
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…
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
Naga Venkata Sai Raviteja Chappa, Khoa Luu
Group Activity Recognition (GAR) remains challenging in computer vision due to the complex nature of multi-agent interactions. This paper introduces LiGAR, a LIDAR-Guided Hierarchi…
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…