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.CV2026
Fast-BEV++: Fast by Algorithm, Deployable by Design
Yuanpeng Chen, Hui Song, Sheng Yang +5
The advancement of vision-only Bird's-Eye-View (BEV) perception, a core paradigm for cost-effective autonomous driving, is hindered by the long-standing fundamental trade-off betwe…
cs.CV2024
Precise Drive with VLM: First Prize Solution for PRCV 2024 Drive LM challenge
Bin Huang, Siyu Wang, Yuanpeng Chen +8
This technical report outlines the methodologies we applied for the PRCV Challenge, focusing on cognition and decision-making in driving scenarios. We employed InternVL-2.0, a pion…