4 papers
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…
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…
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…
A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
Ali Nazeri, Shashank Mishra, Achim Wagner +3
Quality control is a critical aspect of manufacturing, particularly in ensuring the proper assembly of small components in production lines. Existing solutions often rely on single…