16 citations · 29 across the 26 of their papers we have counts for
28 papers
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-…
Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection
Shashank Mishra, Karan Patil, Cedric Schockaert +2
Root cause analysis (RCA) for time-series anomaly detection is critical for the reliable operation of complex real-world systems. Existing explanation methods often rely on unreali…
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…
Conditional Compatibility Learning for Context-Dependent Anomaly Detection
Shashank Mishra, Didier Stricker, Jason Rambach
Anomaly detection usually assumes that abnormality is an intrinsic property of an observation. A defect is a defect, and a rare object is rare, regardless of where it appears. Many…
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 (…
IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion
Shashank Mishra, Karan Patil, Didier Stricker +1
High-performance Radar-Camera 3D object detection can be achieved by leveraging knowledge distillation without using LiDAR at inference time. However, existing distillation methods…