Naga Venkata Sai Raviteja Chappa

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Roberts Center for Pediatric Research

734 Schuylkill Ave

Philadelphia, PA 19146

As a Research Post-Doctoral Fellow in Computational Approaches and Machine Learning at the Center for Autism Research in the Children’s Hospital of Philadelphia, I work under the mentorship of Dr. Birkan Tunç, developing innovative computational approaches for autism research. I completed my Ph.D. in Computer Engineering from the University of Arkansas (January 2021 - February 2025), where my dissertation “Vision-Based Multimodal Approaches in Human Behavior Analysis: Bridging Group Activity Recognition and Healthcare Monitoring” was conducted under Prof. Khoa Luu in the Computer Vision and Image Understanding Lab.

My research expertise encompasses human behavior analysis with multimodal data, visual temporal modeling, vision-language models (VLMs), and foundational models. My work spans applications including group activity recognition, healthcare monitoring, and responsible AI for content moderation. I previously earned an M.S. in Computer Engineering from Purdue University (2020) and a B.Tech in ECE from JNTU-K (2018).

With publications in venues like WACV, CVPR Workshops, and journals including Sensors and IEEE Access, I continue to advance the field by integrating advanced computer vision and deep learning techniques to address real-world challenges in healthcare and beyond.

News

Mar 31, 2025 I have started as a Research Post Doc Fellow at the Center for Autism Research in CHOP! :tada:
Feb 11, 2025 SoGAR paper has been accepted at IEEE Access 2025 Journal! :sparkles:
Jan 31, 2025 Successfully finished my Ph.D. Dissertation Defense! :mortar_board: :tada:
Jan 22, 2025 Received Graduate Travel Grant to attend WACV 2025! :sparkles:
Jan 11, 2025 Selected for Doctoral Consortium to present my thesis research at WACV 2025! :sparkles:
Dec 5, 2024 Ravi crossed 100 citations!!! :star2:
Dec 3, 2024 Symposium Presentation on my Social Media Tobacco Addiction Prevention research has been accepted at SRNT 2025! :sparkles:
Oct 28, 2024 LiGAR paper has been accepted at WACV 2025! :sparkles:
Sep 24, 2024 Ravi is awarded Cora E. Sanders Memorial Graduate Fellowship. :confetti_ball:
Jul 20, 2024 REACT paper has been accepted to Machine Vision and Applications Journal! :sparkles:
May 22, 2024 Hatt-Flow paper has been accepted to Sensors Journal! :sparkles:
May 12, 2024 Ravi crossed 50 citations!!! :star2:
Feb 26, 2024 A paper has been accepted at The Sixteenth Annual IEEE Green Technologies (GreenTech) Conference. :sparkles:
Aug 15, 2023 Ravi is awarded Reginald R. “Barney” & Jameson A. Baxter Graduate Fellowship. :confetti_ball:
Jun 19, 2023 SPARTAN paper is awarded 3rd place at CVSports workshop @CVPR 2023! :sparkles:
Mar 31, 2023 SPARTAN paper has been accepted at CVPRW 2023. Congrats! :confetti_ball:
Aug 15, 2022 Ravi is awarded Charles Morgan Endowed Chair Graduate Fellowship. :confetti_ball:
Jan 16, 2021 Ravi started his PhD journey @University of Arkansas under supervision of Dr. Khoa Luu!
May 10, 2020 Ravi received Master’s degree in Computer Engineering from Purdue University! :confetti_ball: :mortar_board:

Selected Publications

  1. hattflow.png
    HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
    Naga VS ChappaPha Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, and Khoa Luu
    Sensors Journal, 2024
  2. react.png
    REACT: Recognize Every Action Everywhere All At Once
    Naga VS ChappaPha NguyenPage Daniel Dobbs, and Khoa Luu
    Machine Vision and Applications Journal, 2024
  3. sogar.png
    SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
    Naga VS ChappaPha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, and Khoa Luu
    IEEE Access Journal, 2023
  4. flaash.png
    FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
    Naga VS ChappaPage Daniel Dobbs, Bhiksha Raj, and Khoa Luu
    Under review at International Journal of Computer Vision, 2024
  5. 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
  6. 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
  7. defend.png
    DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention
    In arXiv preprint, 2025
  8. ligar.png
    LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
    Naga Venkata Sai Raviteja Chappa, and Khoa Luu
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  9. spartan.png
    SPARTAN: Self-Supervised Spatiotemporal Transformers Approach to Group Activity Recognition
    Naga VS ChappaPha 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
  10. eqadap.png
    Eqadap: Equipollent domain adaptation approach to image deblurring
    Ibsa Jalata, Naga Venkata Sai Raviteja ChappaThanh-Dat Truong, Pierce Helton, Chase Rainwater, and Khoa Luu
    IEEE Access, 2022
  11. otadapt.png
    Otadapt: Optimal transport-based approach for unsupervised domain adaptation
    Thanh-Dat TruongRavi Teja Nvs Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley PG Dowling, and Khoa Luu
    In 2022 26th International Conference on Pattern Recognition (ICPR), 2022
  12. nxp.png
    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