Naga Venkata Sai Raviteja Chappa
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! ![]() |
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Feb 11, 2025 |
SoGAR paper has been accepted at IEEE Access 2025 Journal! ![]() |
Jan 31, 2025 |
Successfully finished my Ph.D. Dissertation Defense! ![]() ![]() |
Jan 22, 2025 |
Received Graduate Travel Grant to attend WACV 2025! ![]() |
Jan 11, 2025 |
Selected for Doctoral Consortium to present my thesis research at WACV 2025! ![]() |
Dec 5, 2024 |
Ravi crossed 100 citations!!! ![]() |
Dec 3, 2024 |
Symposium Presentation on my Social Media Tobacco Addiction Prevention research has been accepted at SRNT 2025! ![]() |
Oct 28, 2024 |
LiGAR paper has been accepted at WACV 2025! ![]() |
Sep 24, 2024 |
Ravi is awarded Cora E. Sanders Memorial Graduate Fellowship. ![]() |
Jul 20, 2024 |
REACT paper has been accepted to Machine Vision and Applications Journal! ![]() |
May 22, 2024 |
Hatt-Flow paper has been accepted to Sensors Journal! ![]() |
May 12, 2024 |
Ravi crossed 50 citations!!! ![]() |
Feb 26, 2024 |
A paper has been accepted at The Sixteenth Annual IEEE Green Technologies (GreenTech) Conference. ![]() |
Aug 15, 2023 |
Ravi is awarded Reginald R. “Barney” & Jameson A. Baxter Graduate Fellowship. ![]() |
Jun 19, 2023 |
SPARTAN paper is awarded 3rd place at CVSports workshop @CVPR 2023! ![]() |
Mar 31, 2023 |
SPARTAN paper has been accepted at CVPRW 2023. Congrats! ![]() |
Aug 15, 2022 |
Ravi is awarded Charles Morgan Endowed Chair Graduate Fellowship. ![]() |
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! ![]() ![]() |
Selected Publications
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HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in VideosSensors Journal, 2024
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REACT: Recognize Every Action Everywhere All At OnceMachine Vision and Applications Journal, 2024
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SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity RecognitionIEEE Access Journal, 2023
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FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content AnalysisUnder review at International Journal of Computer Vision, 2024
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Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods2024 IEEE Green Technologies Conference (GreenTech), 2024
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Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social MediaUnder Review., 2024
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DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction PreventionIn arXiv preprint, 2025
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LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity RecognitionIn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
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SPARTAN: Self-Supervised Spatiotemporal Transformers Approach to Group Activity RecognitionIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
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Otadapt: Optimal transport-based approach for unsupervised domain adaptationIn 2022 26th International Conference on Pattern Recognition (ICPR), 2022
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Deployment of SE-SqueezeNext on NXP Bluebox 2.0 and NXP i.MX-RT1060 MCUIn 2020 IEEE Midwest Industry Conference (MIC), 2020