Publications

Found 37 results
Author Title [ Type(Desc)] Year
Filters: Author is Stella X. Yu  [Clear All Filters]
Conference Paper
Hwang, J-J., Ke T-W., Shi J., & Yu S. X. (2019).  Adversarial Structure Matching for Structured Prediction Tasks. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Maire, M., Narihira T., & Yu S. X. (2016).  Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Yu, S. X. (2012).  Angular Embedding: A Robust Quadratic Criterion. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 34(1), 158-173.
Virtue, P., Yu S. X., & Lustig M. (2017).  Better than Real: Complex-valued Neural Networks for MRI Fingerprinting. Proceedings of the International Conference on Image Processing 2017.
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.
Narihira, T., Maire M., & Yu S. X. (2015).  Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. Proceedings of International Conference on Computer Vision.
Hornauer, S., Yellapragada B., Ranjbar A., & Yu S. X. (2019).  Driving Scene Retrieval by Example from Large-Scale Data. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition .
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
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.
Zhou, T., Lee Y. Jae, Yu S. X., & Efros A. A. (2015).  FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences.
Sun, B., Peng X., Yu S. X., & Saenko K. (2017).  Ground2Sky Label Transfer for Fine-grained Aerial Car Recognition. Proceedings of the International Conference on Image Processing 2017.
Maire, M., Yu S. X., & Perona P. (2013).  Hierarchical Scene Annotation.
Liu, Z., Miao Z., Zhan X., Wang J., Gong B., & Yu S. X. (2019).  Large-Scale Long-Tailed Recognition in An Open World. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Jiang, H., Yu S. X., & Martin D. R. (2011).  Linear Scale and Rotation Invariant Matching. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 33(7), 1339-1355.
Ke, T-W., Yu S. X., & Whitney D. (2017).  Mooney Face Classification and Prediction by Learning across Tone. Proceedings of the International Conference on Image Processing 2017.
Ke, T-W., Yu S. X., & Whitney D. (2017).  Mooney Faces from Photos. Proceedings of the Vision Sciences Society Annual Meeting.
Maire, M., Yu S. X., & Perona P. (2011).  Object Detection and Segmentation from Joint Embedding of Parts and Pixels. Proceedings of International Conference on Computer Vision.
Suchan, J., Bhatt M., & Yu S. X. (2016).  The Perception of Symmetry in the Moving Image -- Multi-Level Computational Analysis of Cinematographic Scene Structure and Its Visual Reception. Proceedings of ACM Symposium on Applied Perception.
Bernardis, E., & Yu S. X. (2011).  Pop Out Many Small Structures from a Very Large Microscopic Image. Medical Image Analysis. 690-707.
Zhang, W., Yu S. X., & Teng S-H. (2012).  Power SVM: Generalization with Exemplar Classification Uncertainty. 2144-2151.
Maire, M., & Yu S. X. (2013).  Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation.
Maire, M., Yu S. X., & Perona P. (2014).  Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
Hwang, J-J., Yu S. X., Shi J., Collins M. D., Yang T-J., Zhang X., et al. (2019).  SegSort: Segmentation by Discriminative Sorting of Segments. Proceedings of the International Conference on Computer Vision.
Chakraborty, R., Wang J., & Yu S. X. (2019).  SurReal: Fr'echet Mean and Distance Transform for Complex-Valued Deep Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

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