Mingqi Gao

Mingqi Gao (高明琦)

Video Foundation Models, 3D Vision

Biography

Hi! I am Mingqi, a Postdoc Research Associate at the School of Computer Science, the University of Sheffield. I received my PhD degree from WMG, the University of Warwick in 2024, supervised by Prof. Jungong Han, Prof. Feng Zheng, and Prof. Giovanni Montana.

My research lies in Video Understanding (Awesome Works on ), 3D Vision (Awesome Works on ), and Multi-Modal Large Models.

News

[Jun-2025] - Win the 1st place in the EPIC-KITCHENS Challenge, Semi-Supervised VOS Track, CVPR 2025 (report)
[Jun-2024] - Win the 1st place in the PVUW Challenge, MeViS Track, CVPR 2024 (report, code)
[Jul-2023] - 1 paper on Referring Video Object Segmentation (paper, code) is accepted by ICCV 2023
[Jun-2023] - 2 papers on Referring (paper, code) and Visible-Thermal (paper, code) Video Object Segmentation are accepted by IEEE Transactions on Circuits, Systems for Video Technology

SELECTED PUBLICATIONS

Please see my full publication list from HERE or my Google Scholar Profile

Guanghui Li*, Mingqi Gao* (Equal Contribution), Heng Liu, Xiantong Zhen, Feng Zheng. Learning cross-modal affinity for referring video object segmentation targeting limited samples''. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [code]
Jinyu Yang*, Mingqi Gao* (Equal Contribution), Runmin Cong, Chengjie Wang, Feng Zheng, Aleš Leonardis. Unveiling the Power of Visible-Thermal Video Object Segmentation''. IEEE Transactions on Circuits, Systems for Video Technology, 2023. [code]
Mingqi Gao, Jinyu Yang, Jungong Han, Ke Lu, Feng Zheng, Giovanni Montana. Decoupling Multimodal Transformers for Referring Video Object Segmentation''. IEEE Transactions on Circuits, Systems for Video Technology, 2023. [code]
Mingqi Gao, Feng Zheng, James Yu, Caifeng Shan, Guiguang Ding, and Jungong Han. Deep learning for video object segmentation: a review. Artificial Intelligence Review, 2022. [project page]
Mingqi Gao, Jungong Han, Feng Zheng, James Yu, and Giovanni Montana. Video object segmentation using point-based memory matching network. Pattern Recognition, 2022.
Mingqi Gao, Hengxin Chen, Shenhai Zheng, and Bin Fang. Feature fusion and non-negative matrix factorization based active contours for texture segmentation. Signal Processing, 2019.
Mingqi Gao, Hengxin Chen, Shenhai Zheng, and Bin Fang. A factorization based active contour model for texture segmentation''. IEEE International Conference on Image Processing (ICIP), 2016. [project page], [code]

RESEARCH

My research lies in computer vision, pattern recognition and deep learning. I have been working on the following research topics:

Active Contour / Level Set based Image Segmentation

An iterative method for image segmentation where region boundary is achieved by evolving a closed and smooth contour (red curve).

Typical ACMs and codes

My research work (FACM)

Deep Learning-based Video Object Segmentation

Under construction.

MISCELLANEOUS

Honors and Awards

1st Place in the EPIC-KITCHENS Challenge on Semi-Supervised Video Object Segmentation, CVPR 2025 (report).
1st Place in the PVUW Challenge on Motion Expressions-guided Video Segmentation, CVPR 2024 (report), (code).
National Scholarship for Graduate Students (top 2%), Ministry of Education, China, 2016.

Academic Services

Technical Programme Chair: BMVC 2025.
Journal Reviewer: IEEE Transactions on Image Processing; IEEE Transactions on Circuits, Systems for Video Technology; Journal of Visual Communication and Image Representation; Pattern Recognition Letters; IET Image Processing.