Modeling Uncertainty with Hedged Instance Embeddings

no code implementations • ICLR 2019 • Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher

Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering.

Clustering Metric Learning +1

Modeling Uncertainty with Hedged Instance Embedding

1 code implementation • 30 Sep 2018 • Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew Gallagher

Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering.

Clustering Metric Learning +1

Inferring 3D Layout of Building Facades From a Single Image

no code implementations • CVPR 2015 • Jiyan Pan, Martial Hebert, Takeo Kanade

In this paper, we propose a novel algorithm that infers the 3D layout of building facades from a single 2D image of an urban scene.