Mingqi Gao

Orcid: 0000-0002-8688-8228

Affiliations:
  • Southern University of Science and Technology, Shenzhen, China
  • University of Warwick, Coventry, UK


According to our database1, Mingqi Gao authored at least 19 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Few-Shot Referring Video Single- and Multi-Object Segmentation Via Cross-Modal Affinity with Instance Sequence Matching.
Int. J. Comput. Vis., August, 2025

Unlocking the Potential of Diffusion Priors in Blind Face Restoration.
CoRR, August, 2025

Refine Any Object in Any Scene.
CoRR, June, 2025

LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization.
CoRR, June, 2025

THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation.
CoRR, June, 2025

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking.
CoRR, May, 2025

2024
Weakly-Supervised RGBD Video Object Segmentation.
IEEE Trans. Image Process., 2024

Unveiling the Power of Visible-Thermal Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2024

1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation.
CoRR, 2024

Place Anything into Any Video.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024


2023
Decoupling Multimodal Transformers for Referring Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks.
Neurocomputing, April, 2023

Video Object Segmentation using Point-based Memory Network.
Pattern Recognit., 2023

Caption Anything: Interactive Image Description with Diverse Multimodal Controls.
CoRR, 2023

Track Anything: Segment Anything Meets Videos.
CoRR, 2023

Deep learning for video object segmentation: a review.
Artif. Intell. Rev., 2023

Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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