FDAN: Flow-guided deformable alignment network for video super-resolution J Lin, Y Huang, L Wang arXiv preprint arXiv:2105.05640, 2021 | 49 | 2021 |
Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects J Hu, J Lin, S Gong, W Cai Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12511 …, 2024 | 28 | 2024 |
Gridclip: One-stage object detection by grid-level clip representation learning J Lin, S Gong arXiv preprint arXiv:2303.09252, 2023 | 19 | 2023 |
Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation J Hu, J Lin, J Yan, S Gong Advances in Neural Information Processing Systems 37, 107171-107197, 2025 | 3 | 2025 |
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation J Lin, J Huang, J Hu, S Gong arXiv preprint arXiv:2410.11473, 2024 | | 2024 |