Dr. Muhammad Usman Maqbool BHUTTA

Roboticist | Entrepreneur
PhD in Robotics and AI (HKUST,HK)
Worked: 🇺🇸 🇨🇭 🇭🇰 🇵🇰
Email: usmanmaqbool(AT)outlook(DOT)com
I’m interested in: Visual Place Recognition, Multi-Agent SLAM, Collaborative 3D Mapping, Autonomous Robotics, AR/VR, Startups.

2025


  • Amir Etefaghi Daryani, M. Usman Maqbool Bhutta, Byron Hernandez, Henry Medeiros, CaMuViD: Calibration-Free Multi-View Detection, 2025 Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    : Project Website PDF BibTeX

    CaMuViD: Calibration-Free Multi-View Detection.

2022


  • Muhammad Husnain Haider, Zhonglai Wanga, Abdullah Aman Khan, Hub Ali, Hao Zheng, Shaban Usman, Rajesh Kumar, M. Usman Maqbool Bhutta, Pengpeng Zhi, Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion, 2022 Journal of King Saud University-Computer and Information Sciences.
    : PDF BibTeX


  • Zhen Feng, Yanning Guo, Qing Liang, M. Usman Maqbool Bhutta, Hengli Wang, Ming Liu, and Yuxiang Sun, MAFNet: Segmentation of Road Potholes with Multi-modal Attention Fusion Network for Autonomous Vehicles, 2022 IEEE Transactions on Instrumentation & Measurement.
    : PDF BibTeX


  • Muhammad Husnain Haider and Hub Ali and Abdullah Aman Khan and Hao Zheng and M. Usman Maqbool Bhutta and Shaban Usman and Pengpeng Zhi and Zhonglai Wang, Autonomous Mobile Robot Navigation using Adaptive Neuro Fuzzy Inference System, 2022 International Conference On Innovations And Development Of Information Technologies And Robotics (IDITR), 2022.
    : PDF BibTeX


  • M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau, Ming Liu, Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition, IEEE Robotics and Automation Letters (RA-L), ICRA, 2022.
    : Project Website Video arXiv BibTeX

    Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition.

2021


  • Wu, Rigen and Fan, Jiahe and Guo, Libo and Qiao, Lei and Bhutta, M. Usman Maqbool and Hosking, Brett and Vityazev, Sergey and Fan, Rui, Scale-Adaptive Pothole Detection and Tracking from 3-D Road Point Clouds, 2021 IEEE International Conference on Imaging Systems and Techniques (IST), 2021, pp. 1-5, doi: 10.1109/IST50367.2021.9651423.
    : PDF BibTeX

2020


  • M Usman Maqbool Bhutta, Manohar Kuse, Rui Fan, Yanan Liu, Ming Liu, Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large Scale Mapping, IEEE Transactions on Cybernetics.2020. (IF: 11+).
    : Project Website Video arXiv BibTeX

    Loop-box-bhutta


  • M Usman Maqbool Bhutta, Shoaib Aslam, Peng Yun, Jianhao JIAO, Ming Liu, Smart-Inspect: Micro Scale Localization and Classification of Smart Phone Glass Defects for Industrial Automation, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
    : Project Website Video arXiv BibTeX

    Smart-Inspect-bhutta

2018


  • M Usman Maqbool Bhutta, Ming Liu, PCR-Pro - 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), July 19-23, 2018, Tianjin, China.
    :trophy: Finalist for Best Student Paper Award
    : Project Website Video arXiv BibTeX

    PCR-pro-bhutta


  • Ma, Han, Yixin Ma, Jianhao Jiao, M. Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, and Rui Fan. Multiple lane detection algorithm based on optimised dense disparity map estimation. In 2018 IEEE International Conference on Imaging Systems and Techniques (IST), pp. 1-5. IEEE, 2018.
    : arXiv BibTeX

2015


  • Zoha Qamar, Bushra Yaseen, and Usman Maqbool, Efficient reset design techniques, Science International, ISSN 1013-5316, vol. 27, no. 2, pp. 1671–1674, 2015.

2014


  • M Usman Maqbool Bhutta, Hasan Mahmood, Hafiz Malik, An intelligent approach for robust detection and recognition of multiple color and font styles automobiles license plates: A feature-based algorithm, IEEE International Conference on Audio, Language and Image Processing (ICALIP), July 7-9, 2014,Shanghai, China.
    : PDF BibTeX