Andrew Kae

According to our database, Andrew Kae authored at least 10 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Image to Video Domain Adaptation Using Web Supervision.

Andrew Kae, Yale Song

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Toward Realistic Image Compositing With Adversarial Learning.

Bor-Chun Chen, Andrew Kae

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling.

Eric Dodds, Huy Nguyen, Simao Herdade, Jack Culpepper, Andrew Kae, Pierre Garrigues

CoRR, 2018

2014

The Shape-Time Random Field for Semantic Video Labeling.

Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling.

Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Bounding the Probability of Error for High Precision Optical Character Recognition.

Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller

J. Mach. Learn. Res., 2012

2011

Learning on the fly: a font-free approach toward multilingual OCR.

Andrew Kae, David A. Smith, Erik G. Learned-Miller

Int. J. Document Anal. Recognit., 2011

2010

Improving state-of-the-art OCR through high-precision document-specific modeling.

Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Bounding the Probability of Error for High Precision Recognition

Andrew Kae, Gary B. Huang, Erik G. Learned-Miller

CoRR, 2009

Learning on the Fly: Font-Free Approaches to Difficult OCR Problems.

Andrew Kae, Erik G. Learned-Miller

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009