Qi Ming (明奇)

Assistant Professor

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I’m going to join the College of Computer Science, Beijing University of Technology (BJUT) this year.

In 2024, I received the Ph.D. degree from Beijing Institute of Technology (BIT) under the guidance of Prof. Lingjuan Miao. I received the B.S. degree in Automation from BIT in 2018. From 2022 to 2023, I conducted research as a visiting scholar in the GAIM Group and worked with Prof. Aleksandra Pizurica at Ghent University (UGent), Belgium.

My research interests include computer vision, remote sensing, IoT, edge computing, LLM, VLM, and AI4S.

News

Aug 23, 2025 🎉 One co-authored paper accepted by TGRS, congrats to Yajun Qiao.
Jun 20, 2024 🎉 Graduated with a doctorate from Beijing Institute of Technology (BIT).
Jun 20, 2024 🎉 Received the Outstanding Doctoral Dissertation Award from BIT (校优秀博士学位论文).
May 30, 2024 🎉 Awarded the Excellent Doctoral Dissertation Seed Fund from BIT(优博育苗基金).
May 12, 2024 🎉 One paper accepted by TGRS.

Selected Publications

  1. Gradient Calibration Loss for Fast and Accurate Oriented Bounding Box Regression
    Qi Ming , Lingjuan Miao, Zhiqiang Zhou, Junjie Song, and Aleksandra Pizurica
    IEEE Transactions on Geoscience and Remote Sensing, vol.62, no., pp.1-15, 2024
  2. Not All Boxes Are Equal: Learning to Optimize Bounding Boxes With Discriminative Distributions in Optical Remote Sensing Images
    Qi Ming , Lingjuan Miao, Zhiqiang Zhou, Nicolas Vercheval, and Aleksandra Pižurica
    IEEE Transactions on Geoscience and Remote Sensing, vol.62, no., pp.1-14, 2024
  3. Task Interleaving and Orientation Estimation for High-precision Oriented Object Detection in Aerial Images
    Qi Ming , Lingjuan Miao, Zhiqiang Zhou, Junjie Song, Yunpeng Dong, and 1 more author
    ISPRS Journal of Photogrammetry and Remote Sensing, vol.196, pp.241-255, 2023
  4. Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision
    Qi Ming , Lingjuan Miao, Zhe Ma, Lin Zhao, Zhiqiang Zhou, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.5136–5145, 2023
  5. CFC-Net: A critical feature capturing network for arbitrary-oriented object detection in remote-sensing images
    Qi Ming , Lingjuan Miao, Zhiqiang Zhou, and Yunpeng Dong
    IEEE Transactions on Geoscience and Remote Sensing, vol.60, pp.1–14, 2021
  6. Dynamic anchor learning for arbitrary-oriented object detection
    Qi Ming , Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, and Linhao Li
    In Proceedings of the AAAI conference on artificial intelligence, vol.35, no.3, pp.2355–2363, 2021
  7. Learning high-precision bounding box for rotated object detection via kullback-leibler divergence
    Xue Yang, Xiaojiang Yang, Jirui Yang,  Qi Ming , Wentao Wang, and 2 more authors
    Advances in Neural Information Processing Systems, vol.34, pp.18381–18394, 2021
  8. Rethinking rotated object detection with gaussian wasserstein distance loss
    Xue Yang, Junchi Yan,  Qi Ming , Wentao Wang, Xiaopeng Zhang, and 1 more author
    In International conference on machine learning, pp.11830–11841, 2021

Academic Service

  • Guest Editor for Remote Sensing.
  • Journal Reviewer for TPAMI, TIP, IJCV, ISPRS R&S, TGRS, TCSVT, TII, PR.
  • Conference Reviewer for CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI, ICLR.