3 papers
cs.CV2026
EdgeFM: Efficient Edge Inference for Vision-Language Models
Mengling Deng, Yuanpeng Chen, Sheng Yang +12
Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for determin…
cs.CV2025
Fast-BEV++: Fast by Algorithm, Deployable by Design
Yuanpeng Chen, Hui Song, Sheng Yang +5
The advancement of vision-only BEV (Bird's-Eye-View) perception is hindered by the fundamental trade-off between perception accuracy and deployment efficiency. We introduce Fast-BE…
cs.CV2025
ZonUI-3B: A Lightweight Vision-Language Model for Cross-Resolution GUI Grounding
ZongHan Hsieh, Tzer-Jen Wei, ShengJing Yang
In this paper, we present ZonUI-3B, a lightweight Vision-Language Model (VLM) that can be fully trained on a single consumer-grade GPU (RTX 4090) while delivering performance compa…