Qi Ming (明奇)

I am currently an associate professor (Ph.D. Supervisor) with the College of Computer Science, Beijing University of Technology (BJUT). 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, multimodality learning, VLM, and edge intelligence.

News

Nov 08, 2025	🎉 Two papers accepted to AAAI 2026, thanks Liuqian Wang and Xiaohan Zhang.
Nov 03, 2025	🎉 Awarded the CSIT Doctoral Dissertation Award (中国惯性技术学会优博).
Oct 09, 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.

Selected Publications

AAAI

Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping

Qi Ming^† , Liuqian Wang^†, Juan Fang, Xudong Zhao, Yucheng Xu, Ziyi Teng, Yue Zhou, Xiaoxi Hu, and 2 more authors

In Proceedings of the AAAI conference on artificial intelligence, 2025

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

@inproceedings{ming2025hilbert,
  title = {Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping},
  author = {Ming, Qi and Wang, Liuqian and Fang, Juan and Zhao, Xudong and Xu, Yucheng and Teng, Ziyi and Zhou, Yue and Hu, Xiaoxi and Zhang, Xiaohan and Guo, Yufei},
  booktitle = {Proceedings of the AAAI conference on artificial intelligence},
  year = {2025},
  highlights = {(CCF-A)},
}

AAAI

Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework

Xiaohan Zhang, Zhangkai Shen, Siyuan Cao, Xiaokai Bai, Yiming Li, Zheheng Han, Zhe Wu, Qi Ming , and 1 more author

In Proceedings of the AAAI conference on artificial intelligence, 2025

Bib HTML PDF Poster Slides | (CCF-A)

@inproceedings{zhang2025learning,
  title = {Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework},
  author = {Zhang, Xiaohan and Shen, Zhangkai and Cao, Siyuan and Bai, Xiaokai and Li, Yiming and Han, Zheheng and Wu, Zhe and Ming, Qi and Shen, Huiliang},
  booktitle = {Proceedings of the AAAI conference on artificial intelligence},
  year = {2025},
  highlights = {(CCF-A)},
}

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 | (SCI Q1 Top)

@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 | (SCI Q1 Top)

@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 Xue Yang

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},
  highlights = {(ESI Highly Cited Paper)},
}

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, Xuhui Huang, Yuanpei Chen, and Yufei Guo

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},
  highlights = {(CCF-A)},
}

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},
  highlights = {(ESI Highly Cited Paper)},
}

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},
  highlights = {(CCF-A)},
}

NeurIPS

Learning high-precision bounding box for rotated object detection via kullback-leibler divergence

Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming , Wentao Wang, Qi Tian, and Junchi Yan

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},
  highlights = {(CCF-A)},
}

ICML

Rethinking rotated object detection with gaussian wasserstein distance loss

Xue Yang, Junchi Yan, Qi Ming , Wentao Wang, Xiaopeng Zhang, and Qi Tian

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},
  highlights = {(CCF-A)},
}

Academic Service

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