
About
Domen Tabernik is a researcher at the Visual Cognitive Systems Laboratory. His work focuses on advanced computer vision and deep learning applications, particularly in robotics, textile inspection, and multimodal image analysis for anomaly detection.
- Current projects include RTFM (Robot Textile/Fabric Inspection), RoDEO (Robust Deep Learning for Earth Observation), and MUXAD (Multimodal Image Understanding).
- Past projects span computer vision for content-based retrieval, factory automation tools (GOSTOP), and deep learning for visual data inconsistency detection.
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