Qi Ming (明奇)

I am currently an associate professor (Ph.D. Supervisor) with the College of Computer Science, Beijing University of Technology. 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 are focused on computer vision, remote sensing, IoT, edge computing, and LLM.

News

Sep 10, 2025	🎉 Joined Beijing University of Technology as an Associate Professor.
Aug 28, 2025	🎉 Serve as the Guest Editor for Remote Sensing (JCR Q1, IF=4.1).
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).

Selected Publications

IEEE TGRS

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

Bib HTML PDF Code

@article{ming2024gradient,
  author = {Ming, Qi and Miao, Lingjuan and Zhou, Zhiqiang and Song, Junjie and Pizurica, Aleksandra},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {Gradient Calibration Loss for Fast and Accurate Oriented Bounding Box Regression},
  year = {2024},
  volume = {62},
  number = {},
  pages = {1-15},
  publisher = {IEEE},
  keywords = {Object detection;Convergence;Remote sensing;Detectors;Training;Feature extraction;Proposals;Convolutional neural network;gradient analysis;loss function;oriented object detection},
}

IEEE TGRS

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

Bib HTML PDF

@article{ming2024not,
  author = {Ming, Qi and Miao, Lingjuan and Zhou, Zhiqiang and Vercheval, Nicolas and Pižurica, Aleksandra},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {Not All Boxes Are Equal: Learning to Optimize Bounding Boxes With Discriminative Distributions in Optical Remote Sensing Images},
  year = {2024},
  volume = {62},
  number = {},
  pages = {1-14},
  publisher = {IEEE},
  keywords = {Detectors;Remote sensing;Feature extraction;Object detection;Training;Optimization;Location awareness;Anchor refinement;bounding box regression;convolutional neural networks (CNNs);feature alignment;object detection},
}

ISPRS&RS

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

Bib HTML PDF Code | (ESI Highly Cited Paper)

@article{ming2023task,
  title = {Task Interleaving and Orientation Estimation for High-precision Oriented Object Detection in Aerial Images},
  author = {Ming, Qi and Miao, Lingjuan and Zhou, Zhiqiang and Song, Junjie and Dong, Yunpeng and Yang, Xue},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  volume = {196},
  pages = {241-255},
  year = {2023},
  publisher = {Elsevier},
  issn = {0924-2716},
}

CVPR

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

Bib HTML PDF Code Poster | (CCF-A)

@inproceedings{ming2023deep,
  title = {Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision},
  author = {Ming, Qi and Miao, Lingjuan and Ma, Zhe and Zhao, Lin and Zhou, Zhiqiang and Huang, Xuhui and Chen, Yuanpei and Guo, Yufei},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {5136--5145},
  year = {2023},
}

IEEE TGRS

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

Bib HTML PDF Code | (ESI Highly Cited Paper)

@article{ming2021cfc,
  title = {CFC-Net: A critical feature capturing network for arbitrary-oriented object detection in remote-sensing images},
  author = {Ming, Qi and Miao, Lingjuan and Zhou, Zhiqiang and Dong, Yunpeng},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {60},
  pages = {1--14},
  year = {2021},
  publisher = {IEEE},
}

AAAI

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

Bib HTML PDF Code Poster Slides | (CCF-A)

@inproceedings{ming2021dynamic,
  title = {Dynamic anchor learning for arbitrary-oriented object detection},
  author = {Ming, Qi and Zhou, Zhiqiang and Miao, Lingjuan and Zhang, Hongwei and Li, Linhao},
  booktitle = {Proceedings of the AAAI conference on artificial intelligence},
  volume = {35},
  number = {3},
  pages = {2355--2363},
  year = {2021},
}

NeurIPS

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

Bib HTML PDF Code | (CCF-A)

@article{yang2021learning,
  title = {Learning high-precision bounding box for rotated object detection via kullback-leibler divergence},
  author = {Yang, Xue and Yang, Xiaojiang and Yang, Jirui and Ming, Qi and Wang, Wentao and Tian, Qi and Yan, Junchi},
  journal = {Advances in Neural Information Processing Systems},
  volume = {34},
  pages = {18381--18394},
  year = {2021},
}

ICML

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

Bib HTML PDF Code | (CCF-A)

@inproceedings{yang2021rethinking,
  title = {Rethinking rotated object detection with gaussian wasserstein distance loss},
  author = {Yang, Xue and Yan, Junchi and Ming, Qi and Wang, Wentao and Zhang, Xiaopeng and Tian, Qi},
  booktitle = {International conference on machine learning},
  pages = {11830--11841},
  year = {2021},
  organization = {PMLR},
}

Academic Service

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