Lars Heckler
Lars Heckler
PhD Student, MVTec Software GmbH & Technical University of Munich (TUM)
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Cited by
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Efficientad: Accurate visual anomaly detection at millisecond-level latencies
K Batzner, L Heckler, R König
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
Registration strategy of point clouds based on region-specific projections and virtual structures for robot-based inspection systems
P Bauer, L Heckler, M Worack, A Magańa, G Reinhart
Measurement 185, 109963, 2021
Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization
L Heckler, R König, P Bergmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Supplementary Material
K Batzner, L Heckler, R König
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