| The progress of human pose estimation: A survey and taxonomy of models applied in 2D human pose estimation TL Munea, YZ Jembre, HT Weldegebriel, L Chen, C Huang, C Yang IEEE Access 8, 133330-133348, 2020 | 238 | 2020 |
| DSANet: Dilated spatial attention for real-time semantic segmentation in urban street scenes MAM Elhassan, C Huang, C Yang, TL Munea Expert Systems with Applications 183, 115090, 2021 | 71 | 2021 |
| Network protocol fuzz testing for information systems and applications: a survey and taxonomy TL Munea, H Lim, T Shon Multimedia tools and applications 75, 14745-14757, 2016 | 28 | 2016 |
| S-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation MAM Elhassan, C Yang, C Huang, TL Munea, X Hong, A Adam, ... arXiv preprint arXiv:2206.07298, 2022 | 18 | 2022 |
| Design and implementation of fuzzing framework based on IoT applications TL Munea, I Luk Kim, T Shon Wireless Personal Communications 93, 365-382, 2017 | 11 | 2017 |
| SPFNet: Subspace pyramid fusion network for semantic segmentation MA Elhassan, C Yang, C Huang, TL Munea arXiv preprint arXiv:2204.01278, 2022 | 6 | 2022 |
| I Luk Kim IL Kim Wireless Personal Communications 8, A2c, 2017 | 4 | 2017 |
| SimpleCut: A simple and strong 2D model for multi-person pose estimation TL Munea, C Yang, C Huang, MAM Elhassan, Q Zhen Computer Vision and Image Understanding 222, 103509, 2022 | 3 | 2022 |
| Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation MAM Elhassan, C Yang, C Huang, TL Munea arXiv preprint arXiv:2204.01278, 2022 | 1 | 2022 |
| S\textsuperscript {2}-fpn: Scale-ware strip attention guided feature pyramid network for real-time semantic segmentation MAM Elhassan, C Yang, C Huang, TL Munea, X Hong arXiv preprint arXiv:2206.07298, 2022 | | 2022 |
| Mod-Fuzz: A Fuzz-Testing Framework for Network Protocol Implementation on File Transfer Protocol TL MUNEA The Graduate School, Ajou University, 2015 | | 2015 |
Mohammed A. M. ElhassanZhejiang Normal University在 zjnu.edu.cn 的电子邮件经过验证
