Scholar
Mingqi Gao
Google Scholar ID: ECCd0hwAAAAJ
Research Associate, University of Sheffield
Video Segmentation
Multi-Modal Large Models
3D Vision
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Citations & Impact
All-time
Citations
905
H-index
13
i10-index
14
Publications
20
Co-authors
0
Contact
Email
im.mingqi@gmail.com
GitHub
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Publications
2 items
UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation
2026
Cited
0
Re-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW MOSE Track
2026
Cited
0
Resume (English only)
Academic Achievements
1st Place, EPIC-KITCHENS Challenge (Semi-Supervised VOS Track), CVPR 2025
1st Place, LSVOS Challenge on Complex Video Object Segmentation (MOSEv2), ICCV 2025
1st Place, PVUW Challenge (MeViS Track), CVPR 2024
1 paper on Referring Video Object Segmentation accepted by ICCV 2023
2 papers on Referring and Visible-Thermal Video Object Segmentation published in IEEE TCSVT 2023
Survey paper on video object segmentation published in Artificial Intelligence Review, 2022
Paper on point-based memory matching network for VOS published in Pattern Recognition, 2022
Work on texture segmentation using feature fusion and NMF published in Signal Processing, 2019
Factorization-based active contour model for texture segmentation presented at ICIP 2016
Released open-source project Track-Anything (6869+ stars on GitHub)
Co-authors
0 total
Co-authors: 0 (list not available)
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