A machine-vision system for automated quality control of welded rings. - Niko Herakovic; Marko Simic; Francelj Trdic; Jure Skvarc (Mach. Vis. Appl., 2011)

Robotic Learning for Increased Productivity: Autonomously Improving Speed of Robotic Visual Quality Inspection. - Andrej Gams; Simon Rebersek; Bojan Nemec; Jure Skrabar; Rok Krhlikar; Jure Skvarc; Ales Ude (CASE, 2019)

Deep-Learning-Based Computer Vision System for Surface-Defect Detection. - Domen Tabernik; Samo Sela; Jure Skvarc; Danijel Skocaj (ICVS, 2019)

Segmentation-based deep-learning approach for surface-defect detection. - Domen Tabernik; Samo Sela; Jure Skvarc; Danijel Skocaj (J. Intell. Manuf., 2020)

Specifying and optimizing robotic motion for visual quality inspection. - Zvezdan Loncarevic; Andrej Gams; Simon Rebersek; Bojan Nemec; Jure Skrabar; Jure Skvarc; Ales Ude (Robotics Comput. Integr. Manuf., 2021)

Adaptive Visual Quality Inspection Based on Defect Prediction From Production Parameters. - Zvezdan Loncarevic; Simon Rebersek; Samo Sela; Jure Skvarc; Ales Ude; Andrej Gams (IEEE Access, 2024)