Hello, there. 👋 We are a research group from Fudan University, led by Prof. Henghui Ding. Our research focuses on computer vision and machine learning. For more details about our work and team members, please visit here.
FudanCVL
A research group at Fudan University focusing on Computer Vision and Learning.
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Repositories
Showing 10 of 10 repositories
- OmniAVS Public
[ICCV 2025] Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation
FudanCVL/OmniAVS’s past year of commit activity - SynFMC Public
[ICCV 2025] Free-Form Motion Control: A Synthetic Video Generation Dataset with Controllable Camera and Object Motions
FudanCVL/SynFMC’s past year of commit activity - .github Public
FudanCVL/.github’s past year of commit activity - MeViS Public Forked from henghuiding/MeViS
[ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
FudanCVL/MeViS’s past year of commit activity - MOSE-api Public Forked from henghuiding/MOSE-api
[ICCV 2023] MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
FudanCVL/MOSE-api’s past year of commit activity - ReLA Public Forked from henghuiding/ReLA
[CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation
FudanCVL/ReLA’s past year of commit activity - gRefCOCO Public Forked from henghuiding/gRefCOCO
A benchmark dataset for GRES and GREC [CVPR2023 Highlight]
FudanCVL/gRefCOCO’s past year of commit activity
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