Publications

Found 7 results
Author Title Type [ Year(Desc)]
Filters: Author is Stella X. Yu and Keyword is Deep Learning  [Clear All Filters]
2015
Narihira, T., Maire M., & Yu S. X. (2015).  Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. Proceedings of International Conference on Computer Vision.
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
2016
Yu, S. X., & Zipser K. (2016).  A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities. Poster at Vision Sciences Society Annual Meeting.
Peng, X., Hoffman J., Yu S. X., & Saenko K. (2016).  Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification. Proceedings of International Conference on Image Processing.
Shi, J., Dong Y., Su H., & Yu S. X. (2016).  Learning Non-Lambertian Object Intrinsics across ShapeNet Categories.
Ke, T-W., Maire M., & Yu S. X. (2016).  Neural Multigrid.
2021
Yeh, C-H., Yu S. X., & Lin M. C. (2021).  Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning. Translational Vision Science and Technology. 10(4),