16 citations · 18 across the 3 of their papers we have counts for
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cs.CV2026
Detecting Defects that Matter: An Application-Driven Benchmark for Anomaly Detection in Manufacturing and Retail Logistics (VAND 4.0 Challenge)
Lars Heckler-Kram, Dorian Henning, Ashwin Vaidya +6
Existing Anomaly Detection benchmarks are saturated and often unrealistic. As part of the VAND 4.0 Challenge, we introduce a hidden-test, application-driven benchmark across two de…
cs.CV2014
Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects
Jonathan Balzer, Daniel Acevedo-Feliz, Stefano Soatto +3
We introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity. A key feature of our app…