SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition. - Naga Venkata Sai Raviteja Chappa; Pha A. Nguyen; Alexander H. Nelson 001; Han-Seok Seo; Xin Li 005; Page Daniel Dobbs; Khoa Luu (CVPR Workshops, 2023)

FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis. - Ravi Teja N. V. S. Chappa; Page Daniel Dobbs; Bhiksha Raj; Khoa Luu (CoRR, 2024)

Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media. - Ravi Teja N. V. S. Chappa; Charlotte McCormick; Susana Rodriguez Gongora; Page Daniel Dobbs; Khoa Luu (CoRR, 2024)

HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos. - Naga Venkata Sai Raviteja Chappa; Pha A. Nguyen; Thi Hoang Ngan Le; Page Daniel Dobbs; Khoa Luu (Sensors, 2024)

React: recognize every action everywhere all at once. - Naga Venkata Sai Raviteja Chappa; Pha A. Nguyen; Page Daniel Dobbs; Khoa Luu (Mach. Vis. Appl., 2024)

SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition. - Naga Venkata Sai Raviteja Chappa; Pha A. Nguyen; Alexander H. Nelson 001; Han-Seok Seo; Xin Li 005; Page Daniel Dobbs; Khoa Luu (IEEE Access, 2025)

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention. - Naga Venkata Sai Raviteja Chappa; Matthew Shepard; Connor McCurtain; Charlotte McCormick; Page Daniel Dobbs; Khoa Luu (CoRR, 2025)