Qi Ming (明奇)

I am currently a tenure-track 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

Feb 21, 2026	🎉 One paper accepted to CVPR findings track.
Feb 10, 2026	🎉 One paper accepted to TVLSI.
Feb 10, 2026	🎉 One paper accepted to Chinese Journal of Electronics, thanks to Xudong Zhao and Liuqian Wang.
Nov 27, 2025	🎉 One paper accepted to TGRS, thanks to Xudong Zhao.
Nov 08, 2025	🎉 Two papers accepted to AAAI 2026, thanks to Liuqian Wang and Xiaohan Zhang.

Selected Publications

CVPR

CrossWeaver: Towards Efficient Cross-Modal Interweaving and Decoupling for Weakly-Aligned Multispectral Object Detection

Haitian Yang, Juan Fang, Yiren Zhu, Xudong Zhao, Yufei Guo, Xiaohan Zhang, Xiaoxing Hu, Xue Yang, and Qi Ming^*

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp., 2026

Bib HTML PDF Code Poster | (Findings track)

@inproceedings{yang2026crossweaver,
  title = {CrossWeaver: Towards Efficient Cross-Modal Interweaving and Decoupling for Weakly-Aligned Multispectral Object Detection},
  author = {Yang, Haitian and Fang, Juan and Zhu, Yiren and Zhao, Xudong and Guo, Yufei and Zhang, Xiaohan and Hu, Xiaoxing and Yang, Xue and Ming, Qi},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {},
  year = {2026},
}

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, Xiaohan Zhang, and 1 more author

In Proceedings of the AAAI conference on artificial intelligence, vol.40, no.10, pp.8071-8079, 2026

Bib HTML PDF Code Poster | (CCF-A)

@inproceedings{ming2026hilbert,
  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},
  volume = {40},
  number = {10},
  pages = {8071-8079},
  year = {2026},
  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 Huiliang Shen

In Proceedings of the AAAI conference on artificial intelligence, vol.40, no.15, pp.12843-12851, 2026

Bib HTML PDF | (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},
  volume = {40},
  number = {15},
  pages = {12843-12851},
  year = {2026},
  highlights = {(CCF-A)},
}

IEEE TGRS

Chirplet Fourier Analysis Network for Cross-Scene Classification of Multisource Remote Sensing Data

Xudong Zhao, Qi Ming^* , Yixiao Yang^*, Wenshuai Hu, Wei Li, and Ran Tao

IEEE Transactions on Geoscience and Remote Sensing, vol., no., pp.1-1, 2025

Bib HTML PDF | (SCI Q1 Top)

@article{zhao2025chirplet,
  title = {Chirplet Fourier Analysis Network for Cross-Scene Classification of Multisource Remote Sensing Data},
  author = {Zhao, Xudong and Ming, Qi and Yang, Yixiao and Hu, Wenshuai and Li, Wei and Tao, Ran},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
  volume = {},
  number = {},
  pages = {1-1},
  publisher = {IEEE},
}

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)},
}

Invited Talk

遥感图像目标检测：从方法演进到智能感知的范式探讨, 第六届图像、视觉和智能系统国际会议 (ICIVIS), 淮北, 2026.
遥感旋转目标检测的发展与大模型时代下的机遇与挑战, 第三届人工智能与遥感科学交叉论坛 (AIRS), 长沙, 2026.
From Modality-Specific to Modality-Universal: Rethinking the Vanishing Boundary in Remote Sensing Object Detection, Invited Seminar, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium, 2026.
遥感旋转目标检测: 研究进展综述与发展展望, 第二届人工智能遥感应用国际大会 (AIRSA), 郑州, 2026.

Awards

2025 - Chinese Society of Inertial Technology, Outstanding Doctoral Dissertation Award (中国惯性技术学会优博).
2024 - Beijing Institute of Technology, Outstanding Doctoral Dissertation Award (北京理工大学优博论文) .

Academic Service

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