activity
20142026
most citedPatterns for Learning with Side Information

16 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

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…

math.PR2023

Continuous-time mean field Markov decision models

Nicole Bäuerle, Sebastian Höfer

We consider a finite number of statistically equal agents, each moving on a finite set of states according to a continuous-time Markov Decision Process (MDP). Transition intens…

physics.optics2022★ 2 cited

Deflectometry for specular surfaces: an overview

Jan Burke, Alexey Pak, Sebastian Höfer +3

Deflectometry as a technical approach to assessing reflective surfaces has now existed for almost 40 years. Different aspects and variations of the method have been studied in mult…

cs.LG2015★ 16 cited

Patterns for Learning with Side Information

Rico Jonschkowski, Sebastian Höfer, Oliver Brock

Supervised, semi-supervised, and unsupervised learning estimate a function given input/output samples. Generalization of the learned function to unseen data can be improved by inco…

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…