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researcher

Lars Heckler

2 papers hereh-index 4386 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedEfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors

Guangyao Zhai, Yue Zhou, Xinyan Deng +3

Few-shot anomaly detection streamlines and simplifies industrial safety inspection. However, limited samples make accurate differentiation between normal and abnormal features chal…

cs.CV2023★ 8 cited

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Kilian Batzner, Lars Heckler, Rebecca König

Detecting anomalies in images is an important task, especially in real-time computer vision applications. In this work, we focus on computational efficiency and propose a lightweig…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.