Publications

2024

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    HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
    Naga VS Chappa, Pha Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, and Khoa Luu
    Sensors Journal, 2024
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  2. react.png
    REACT: Recognize Every Action Everywhere All At Once
    Naga VS Chappa, Pha Nguyen, Page Daniel Dobbs, and Khoa Luu
    Machine Vision and Applications Journal, 2024
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  3. flaash.png
    FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
    Naga VS Chappa, Page Daniel Dobbs, Bhiksha Raj, and Khoa Luu
    Under review at International Journal of Computer Vision, 2024
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  4. tobacco_poster.png
    Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods
    Naga Venkata Sai Raviteja Chappa, Charlotte Mccormick, Susana Rodriguez Gongora, Page Daniel Dobbs, and Khoa Luu
    2024 IEEE Green Technologies Conference (GreenTech), 2024
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  5. phad.png
    Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
    Naga Venkata Sai Raviteja Chappa, Charlotte Mccormick, Susana Rodriguez Gongora, Page Daniel Dobbs, and Khoa Luu
    Under Review., 2024
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  6. ligar.png
    LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
    Naga Venkata Sai Raviteja Chappa, and Khoa Luu
    arXiv, 2024
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2023

  1. sogar.png
    SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
    Naga VS Chappa, Pha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, and Khoa Luu
    Under review at IEEE Access Journal, 2023
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  2. spartan.png
    SPARTAN: Self-Supervised Spatiotemporal Transformers Approach to Group Activity Recognition
    Naga VS Chappa, Pha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, and Khoa Luu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
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2022

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    Eqadap: Equipollent domain adaptation approach to image deblurring
    Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, and Khoa Luu
    IEEE Access, 2022
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  2. otadapt.png
    Otadapt: Optimal transport-based approach for unsupervised domain adaptation
    Thanh-Dat Truong, Ravi Teja Nvs Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley PG Dowling, and Khoa Luu
    In 2022 26th International Conference on Pattern Recognition (ICPR), 2022
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2020

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    Deployment of SE-SqueezeNext on NXP Bluebox 2.0 and NXP i.MX-RT1060 MCU
    Ravi Teja NVS Chappa, and Mohamed El-Sharkawy
    In 2020 IEEE Midwest Industry Conference (MIC), 2020
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  2. Squeeze-and-Excitation SqueezeNext: An Efficient DNN for Hardware Deployment
    Ravi Teja NVS Chappa, and Mohamed El-Sharkawy
    In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), 2020
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2017

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    VLSI implementation of LTSSM
    Ravi Teja NVS Chappa, Bhaskara Rao Jammu, Maheswari Adimulam, and Maneesh Ayi
    In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017
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