Weifu Fu — accepted AI-conference papers

2026

PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training

Weifu Fu, Jinyang Li, Bin-Bin Gao, Jialin Li, Yuhuan Lin, Hanqiu Deng +3

CVPR 2026

Open-Set Object Detection (OSOD) enables recognition of novel categories beyond fixed classes but faces challenges in aligning text representations with complex visual concepts and the scarcity of image-text pairs for rare categories. This results in suboptimal performance in specialized domains or

Cited by 0 Source ↗code ↗Scholar ↗

2024

LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking

Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu +1

CVPR 2024highlight

Deep learning models particularly those based on transformers often employ numerous stacked structures which possess identical architectures and perform similar functions. While effective this stacking paradigm leads to a substantial increase in the number of parameters pos- ing challenges for pract…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗