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Eyke Hullermeier

2 accepted papers

2021

Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model

CVPR 2021poster

In many real-world applications, the relative depth of objects in an image is crucial for scene understanding. Recent approaches mainly tackle the problem of depth prediction in monocular images by treating the problem as a regression task. Yet, being interested in an order relation in the first pla…

Cited by 20PDFcodeScholar
2016

Extreme F-measure Maximization using Sparse Probability Estimates

ICML 2016poster

We consider the problem of (macro) F-measure maximization in the context of extreme multi-label classification (XMLC), i.e., multi-label classification with extremely large label spaces. We investigate several approaches based on recent results on the maximization of complex performance measures in…