2 papers
cs.CV2026
UrbanAlign: Post-hoc Semantic Calibration for VLM-Human Preference Alignment
Yecheng Zhang, Rong Zhao, Zhizhou Sha +10
Vision-language models (VLMs) can describe urban scenes in rich detail, yet consistently fail to produce reliable human preference labels in domain-specific tasks such as safety as…
cs.CV2025
Towards Interpretable Geo-localization: a Concept-Aware Global Image-GPS Alignment Framework
Furong Jia, Lanxin Liu, Ce Hou +3
Worldwide geo-localization involves determining the exact geographic location of images captured globally, typically guided by geographic cues such as climate, landmarks, and archi…