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Husnain Mushtaq - IEEE Xplore Author Profile
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Husnain Mushtaq

Publications
2
Citations
1
Publications by Year
20242025
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Husnain Mushtaq

Affiliation

School of Computer Science and Engineering and Shenzhen Institute
Central South University
Changsha, China

Publication Topics

Biography

Husnain Mushtaq received the master’s degree in software engineering from The University of Lahore, Lahore, Pakistan, in 2019. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Central South University, China. He was a Lecturer with The University of Lahore, Gujrat Campus, Pakistan, from August 2019 to November 2022. He was a Software Engineer in a reputed software firm. His research interests include machine learning, natural language processing, and computer vision.(Based on document published on 31 December 2024).
Publications
2
Citations
1
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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GFA-SMT: Geometric Feature Aggregation and Self-Attention in a Multi-Head Transformer for 3D Object Detection in Autonomous Vehicles

Husnain Mushtaq;Xiaoheng Deng;Ping Jiang;Shaohua Wan;Mubashir Ali;Irshad Ullah

IEEE Transactions on Intelligent Transportation Systems
Year: 2025 | Volume: 26, Issue: 3 | Journal Article |
3D object detection by autonomous vehicles is integral to intelligent transportation. Existing systems often compromise essential foreground point features and local spatial interactions through random down-sampling, focusing primarily on local feature extraction. However, this neglects interactions among distant yet significant points, limiting semantic information and detection performance due t...Show More

GFA-SMT: Geometric Feature Aggregation and Self-Attention in a Multi-Head Transformer for 3D Object Detection in Autonomous Vehicles

Husnain Mushtaq;Xiaoheng Deng;Ping Jiang;Shaohua Wan;Mubashir Ali;Irshad Ullah

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Channelwise and Spatially Guided Multimodal Feature Fusion Network for 3-D Object Detection in Autonomous Vehicles

Muhammad Uzair;Jian Dong;Ronghua Shi;Husnain Mushtaq;Irshad Ullah

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Cited by: Papers (1)
Accurate 3-D object detection is vital in autonomous driving. Traditional LiDAR models struggle with sparse point clouds. We propose a novel approach integrating LiDAR and camera data to maximize sensor strengths while overcoming individual limitations for enhanced 3-D object detection. Our research introduces the channelwise and spatially guided multimodal feature fusion network (CSMNET) for 3-D ...Show More

Channelwise and Spatially Guided Multimodal Feature Fusion Network for 3-D Object Detection in Autonomous Vehicles

Muhammad Uzair;Jian Dong;Ronghua Shi;Husnain Mushtaq;Irshad Ullah

Year: 2024 | Volume: 62 | Journal Article |

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