| Spartan: Self-supervised spatiotemporal transformers approach to group activity recognition NVS Chappa, P Nguyen, AH Nelson, HS Seo, X Li, PD Dobbs, K Luu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27* | 2023 |
| Eqadap: Equipollent domain adaptation approach to image deblurring I Jalata, NVSR Chappa, TD Truong, P Helton, C Rainwater, K Luu IEEE Access 10, 93203-93211, 2022 | 16 | 2022 |
| SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition NVS Raviteja Chappa, P Nguyen, AH Nelson, HS Seo, X Li, PD Dobbs, ... arXiv e-prints, arXiv: 2305.06310, 2023 | 12* | 2023 |
| Otadapt: Optimal transport-based approach for unsupervised domain adaptation TD Truong, RTN Chappa, XB Nguyen, N Le, APG Dowling, K Luu 2022 26th international conference on pattern recognition (ICPR), 2850-2856, 2022 | 12 | 2022 |
| Squeeze-and-Excitation SqueezeNext: An Efficient DNN for Hardware Deployment NVSR Chappa Purdue University, 2020 | 12 | 2020 |
| VLSI implementation of LTSSM RTNVS Chappa, BR Jammu, M Adimulam, M Ayi 2017 International conference of Electronics, Communication and Aerospace …, 2017 | 8 | 2017 |
| React: recognize every action everywhere all at once NVSR Chappa, P Nguyen, PD Dobbs, K Luu Machine Vision and Applications 35 (4), 102, 2024 | 7 | 2024 |
| Advanced Deep Learning Techniques for Tobacco Usage Assessment in TikTok Videos NVSR Chappa, C McCormick, SR Gongora, PD Dobbs, K Luu 2024 IEEE Green Technologies Conference (GreenTech), 162-163, 2024 | 5 | 2024 |
| Public health advocacy dataset: A dataset of tobacco usage videos from social media NVS Chappa, C McCormick, SR Gongora, PD Dobbs, K Luu arXiv preprint arXiv:2411.13572, 2024 | 4 | 2024 |
| HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos NVSR Chappa, P Nguyen, THN Le, PD Dobbs, K Luu Sensors 24 (11), 3372, 2024 | 4 | 2024 |
| Deployment of SE-squeezeNext on NXP bluebox 2.0 and NXP i. MX RT1060 MCU RTNVS Chappa, M El-Sharkawy 2020 IEEE Midwest Industry Conference (MIC) 1, 1-4, 2020 | 4 | 2020 |
| Flaash: Flow-attention adaptive semantic hierarchical fusion for multi-modal tobacco content analysis NVS Chappa, PD Dobbs, B Raj, K Luu arXiv preprint arXiv:2410.19896, 2024 | 3 | 2024 |
| DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention NVS Raviteja Chappa, M Shepard, C McCurtain, C McCormick, ... arXiv e-prints, arXiv: 2501.13950, 2025 | | 2025 |
| Advanced Deep Learning Framework for Tobacco-Related Content Analysis on Social Media Platforms Using Computer Vision Techniques NVSR Chappa, PD Dobbs, K Luu Authorea Preprints, 2024 | | 2024 |
| Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media NVS Raviteja Chappa, C McCormick, S Rodriguez Gongora, PD Dobbs, ... arXiv e-prints, arXiv: 2411.13572, 2024 | | 2024 |
| LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition N Venkata Sai Raviteja Chappa, K Luu arXiv e-prints, arXiv: 2410.21108, 2024 | | 2024 |
| FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis NVS Raviteja Chappa, PD Dobbs, B Raj, K Luu arXiv e-prints, arXiv: 2410.19896, 2024 | | 2024 |
| FPGA Implementation of USB 3.1 Physical Coding Layer BR Jammu, RTNVS Chappa, M Adimulam, N Bodasingi | | |
Khoa LuuAssistant Professor, EECS, University of ArkansasE-mailová adresa ověřena na: uark.edu
