Mingqi Gao
Scholar

Mingqi Gao

Google Scholar ID: ECCd0hwAAAAJ
Research Associate, University of Sheffield
Video SegmentationMulti-Modal Large Models3D Vision
Citations & Impact
All-time
Citations
905
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
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)