3 papers
cs.CV2026
Vision Transformer Ensembles for Panoramic Street Segmentation
Yunus Serhat Bıçakçı
Semantic segmentation of street panoramas can support detailed descriptions of urban environments, yet small datasets and unequal training costs make model selection difficult. Thi…
cs.CV2026
SigLIP2 for aerial fire risk classification
Yunus Serhat Bıçakçı
We examine the transfer of a pretrained SigLIP2 image encoder to seven class fire risk classification from aerial imagery. We introduce a reproducible partition of the public FireR…
cs.CV2025
Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation
Yunus Serhat Bicakci, Joseph Shingleton, Anahid Basiri
Street-level geolocalization from images is crucial for a wide range of essential applications and services, such as navigation, location-based recommendations, and urban planning.…