I’m going to start an academic position. 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 work with Prof. Aleksandra Pizurica at Ghent University, Belgium. My research interest includes computer vision, remote sensing image interpretation, and AI4S.

I’m always open to academic collabs and partnerships!

News

• 2024.07:  🎉 Received the Outstanding Doctoral Dissertation Award from BIT.
• 2024.06:  🎉 Graduated with a doctorate from Beijing Institute of Technology (BIT).
• 2024.05:  🎉 Awarded the Excellent Doctoral Dissertation Seed Fund.
• 2024.05:  🎉 One paper is accepted by TGRS.
• 2024.02:  🎉 One paper is accepted by TGRS.

Publications

Journal Papers

TGRS 2024

Gradient Calibration Loss for Fast and Accurate Oriented Bounding Box Regression
Qi Ming , Lingjuan Miao , Zhiqiang Zhou , Junjie Song, Aleksandra Pižurica
IEEE Transactions on Geoscience and Remote Sensing(TGRS), (SCI Q1, Top, IF=8.2)

TGRS 2024

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 , Aleksandra Pižurica
IEEE Transactions on Geoscience and Remote Sensing(TGRS), (SCI Q1, Top, IF=8.2)

ISPRS 2023

Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images
Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Junjie Song, Yunpeng Dong, Xue Yang
ISPRS Journal of Photogrammetry and Remote Sensing(ISPRS&RS), (SCI Q1, Top, ESI Highly Cited, IF=12.7)

TGRS 2021

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote-Sensing Images
Qi Ming , Lingjuan Miao , Zhiqiang Zhou, Yunpeng Dong
IEEE Transactions on Geoscience and Remote Sensing(TGRS), (SCI Q1, Top, ESI Highly Cited, IF=8.2)

• Q. Ming, X. Xiao, “Towards Accurate Medical Image Segmentation with Gradient-optimized Dice Loss”, IEEE Signal Processing Letters (LSP), 2024, (SCI Q2, IF=3.9) [Url] [PDF] [BibTex]

• Q. Ming, L. Miao, Z. Zhou, X. Yang, Y. Dong, “Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss”, IEEE Geoscience and Remote Sensing Letters (LGRS), 2022, (SCI Q3, IF=4.8) [Url] [PDF] [Code] [BibTex]

• Q. Ming, L. Miao, Z. Zhou, J. Song, X. Yang, “Sparse Label Assignment for Oriented Object Detection in Aerial Images”, Remote Sensing (RS), 2021, (SCI Q2, IF=5.0), [Url] [PDF] [Code] [BibTex]

• Y. Qiao, L. Miao, Z. Zhou, Q. Ming, “A Novel Object Detector Based on High-quality Rotation Proposal Generation and Adaptive Angle Optimization”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023， (SCI Q1 Top, IF=8.2), [Url] [PDF] [Code] [BibTex]

• J. Song, L. Miao, Q. Ming, Z. Zhou, Y. Dong, “Fine-Grained Object Detection in Remote Sensing Images Via Adaptive Label Assignment and Refined-Balanced Feature Pyramid Network”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023, (SCI Q2, IF=5.5) [Url] [PDF] [BibTex]

• J. Song, L. Miao, Z. Zhou, Q. Ming, Y. Dong, “Optimized Point Set Representation for Oriented Object Detection in Remote Sensing Images”, IEEE Geoscience and Remote Sensing Letters (LGRS), 2023, (SCI Q3, IF=4.8), [Url] [PDF] [BibTex]

Conference Papers

CVPR 2023

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, Yufei Guo
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2023), (CCF-A)

AAAI 2021

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao,Hongwei Zhang, Linhao Li
Proceedings of the Thirty-Five AAAI Conference on Artificial Intelligence(AAAI 2021), (CCF-A, Oral)

ICML 2021

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
Proceedings of the 38th International Conference on Machine Learning(ICML 2021), (CCF-A)

NeurIPS 2021

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, Junchi Yan
Advances in Neural Information Processing Systems(NeurIPS 2021), (CCF-A)

Honors and Awards

• 2024, Outstanding Doctoral Dissertation Award from BIT
• 2024, Excellent Doctoral Dissertation Seed Fund
• 2022, Outstanding Doctoral Research Project Fund of the Navigation, Guidance and Control Engineering Center from BIT
• 2022, China Scholarship Council (CSC) scholarships
• 2022, National Scholarship
  
• 2021, Winner Prize in GaoFen Challenge on Automated High-Resolution Earth Observation Image Interpretation

Education

School of Automation, Beijing Institute of Technology (BIT)
Ph.D in School of Automation, 2018-2024
Supervisor: Prof. Lingjuan Miao.

Department of Telecommunications and Information Processing, Ghent University (UGent)
Visiting Ph.D in GAIM Group, 2022-2023
Supervisor: Prof. Aleksandra Pizurica.

School of Automation, Beijing Institute of Technology (BIT)
B.E. in School of Automation, 2014-2018

Activities

• Journal Reviewers: TPAMI, TIP, IJCV, ISPRS, TGRS, TCSVT, PR

• Conference Reviewers: CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI, ICLR

Contact

Address: Beijing, China
Email: chaser.ming (at) gmail.com
Phone: (+86) 18811028738