Naga Venkata Sai Raviteja Chappa

profile_pic1.JPG

JBHT #447

227 N Harmon Ave

Fayetteville, AR 72701

As a Final Year Ph.D. Candidate in Computer Engineering at the University of Arkansas, I am actively engaged in cutting-edge research within the Computer Vision and Image Understanding Lab, under the mentorship of Prof. Khoa Luu. Prior to embarking on my doctoral journey, I earned an M.S. in Computer Engineering from Purdue University in May 2020 and a B.Tech in ECE from JNTU-K in April 2018.

My research expertise centers on the dynamic intersection of deep learning, machine learning, and their practical applications in the realm of computer vision. With a keen focus on advancing image and video understanding systems, my overarching goal is to cultivate a versatile skill set that seamlessly integrates academic prowess with industry relevance. I aspire to contribute meaningfully as both a proficient engineer and an influential scientist in the field.

News

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
    Under review at 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. ligar.png
    LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
    Naga Venkata Sai Raviteja Chappa, and Khoa Luu
    arXiv, 2024
  8. 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
  9. 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
  10. 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
  11. 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