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Andrew Kae
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2020 – today
2010 – 2019
- 2019
- [c5]Bor-Chun Chen, Andrew Kae:
Toward Realistic Image Compositing With Adversarial Learning. CVPR 2019: 8415-8424 - [i3]Andrew Kae, Yale Song:
Image to Video Domain Adaptation Using Web Supervision. CoRR abs/1908.01449 (2019) - 2018
- [i2]Eric Dodds, Huy Nguyen, Simao Herdade, Jack Culpepper, Andrew Kae, Pierre Garrigues:
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling. CoRR abs/1810.04652 (2018) - 2014
- [c4]Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller:
The Shape-Time Random Field for Semantic Video Labeling. CVPR 2014: 272-279 - 2013
- [c3]Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller:
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. CVPR 2013: 2019-2026 - 2012
- [j2]Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller:
Bounding the Probability of Error for High Precision Optical Character Recognition. J. Mach. Learn. Res. 13: 363-387 (2012) - 2011
- [j1]Andrew Kae, David A. Smith, Erik G. Learned-Miller:
Learning on the fly: a font-free approach toward multilingual OCR. Int. J. Document Anal. Recognit. 14(3): 289-301 (2011) - 2010
- [c2]Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller:
Improving state-of-the-art OCR through high-precision document-specific modeling. CVPR 2010: 1935-1942
2000 – 2009
- 2009
- [c1]Andrew Kae, Erik G. Learned-Miller:
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. ICDAR 2009: 571-575 - [i1]Andrew Kae, Gary B. Huang, Erik G. Learned-Miller:
Bounding the Probability of Error for High Precision Recognition. CoRR abs/0907.0418 (2009)
Coauthor Index
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