Search Results for author: Daniel Fährmann

Found 3 papers, 1 papers with code

MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

1 code implementation2 Dec 2020 Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

In this work, we propose MAADFace, a new face annotations database that is characterized by the large number of its high-quality attribute annotations.

Attribute Face Recognition

Learning to Predict the 3D Layout of a Scene

no code implementations19 Nov 2020 Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann

We extend the network head by a 3D detection head, which predicts every degree of freedom of a 3D bounding box via classification.

object-detection Object Detection +1

Beyond Identity: What Information Is Stored in Biometric Face Templates?

no code implementations21 Sep 2020 Philipp Terhörst, Daniel Fährmann, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

For evaluating the predictability of the attributes, we trained a massive attribute classifier that is additionally able to accurately state its prediction confidence.

Attribute Face Recognition +1

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