3 papers
cs.CV2026
JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas
Sandeep Inuganti, Hideaki Kanayama, Kanta Shimizu +4
Semantic segmentation across visual modalities such as 3D point clouds and panoramic images remains a challenging task, primarily due to the scarcity of annotated data and the limi…
cs.CV2026
BIMStruct3D: A Fully Automated Hybrid Learning Scan-to-BIM Pipeline with Integrated Topology Refinement
Mahdi Chamseddine, Fabian Kaufmann, Marius Schellen +3
Automatic generation of Building Information Models (BIM) from building scans is a key challenge in architecture and construction. We present a modular pipeline for generating IFC-…
cs.CV2026
PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion
Mahdi Chamseddine, Didier Stricker, Jason Rambach
Existing image foundation models are not optimized for spherical images having been trained primarily on perspective images. PanoSAMic integrates the pre-trained Segment Anything (…