N
Naga Venkata Sai Raviteja Chappa Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Graduate Research Assistant
grad_student
4 h-index
18 pubs
59 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Naga Venkata Sai Raviteja Chappa's research focuses on developing advanced deep learning techniques for activity recognition and image processing. His work includes self-supervised spatiotemporal transformers for group activity recognition, hierarchical attention-flow mechanisms for scene graph generation in videos, and multi-modal approaches utilizing LiDAR data for activity recognition. Chappa has also investigated deep learning for assessing tobacco usage in social media videos.
His publications demonstrate a focus on transformer architectures and attention mechanisms applied to video analysis. He has collaborated with researchers at the University of Arkansas at Fayetteville, including Page D. Dobbs, Pha Nguyen, Khoa Luu, and Charlotte McCormick, contributing to multiple shared publications. Chappa's research has resulted in a h-index of 3 and 51 total citations across 18 publications.
Metrics
- h-index: 4
- Publications: 18
- Citations: 59
Selected Publications
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LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition (2025)
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SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025)
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DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention (2025)
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Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media (2024)
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Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media (2024)
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Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media (2024)
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FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis (2024)
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FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis (2024)
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React: recognize every action everywhere all at once (2024)
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HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos (2024)
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Advanced Deep Learning Techniques for Tobacco Usage Assessment in TikTok Videos (2024)
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Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods (2024)
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SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023)
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EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring (2022)
Collaboration Network
Top Collaborators
Khoa Luu
University of Arkansas at Fayetteville
18 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Showing 5 of 18 shared publications
Page D. Dobbs
University at Albany, State University of New York
12 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- Advanced Deep Learning Techniques for Tobacco Usage Assessment in TikTok Videos
Showing 5 of 12 shared publications
Pha Nguyen
University of Arkansas at Fayetteville
4 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Susana Rodriguez Gongora
University of Arkansas at Fayetteville
4 shared publications
In database
- Advanced Deep Learning Techniques for Tobacco Usage Assessment in TikTok Videos
- Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods
- Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
- Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
Charlotte McCormick
3 shared publications
In database
- Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
- Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
- DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention
Thanh-Dat Truong
University of Arkansas at Fayetteville
2 shared publications
In database
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Ngan Le
University of Arkansas at Fayetteville (US)
2 shared publications
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Alexander Nelson
University of Arkansas at Fayetteville
2 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Han‐Seok Seo
University of Arkansas at Fayetteville
2 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Charlotte Mccormick
2 shared publications
- Advanced Deep Learning Techniques for Tobacco Usage Assessment in TikTok Videos
- Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods
Bhiksha Raj
Carnegie Mellon University (US)
2 shared publications
- FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
- FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
Xuan-Bac Nguyen
1 shared publication
In database
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Ashley P. G. Dowling
1 shared publication
In database
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Ibsa Jalata
University of Arkansas at Fayetteville
1 shared publication
In database
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
Pierce Helton
University of Arkansas at Fayetteville
1 shared publication
In database
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
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