Publications

Found 175 results
Author Title Type [ Year(Desc)]
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2014
Maire, M., Yu S. X., & Perona P. (2014).  Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
2015
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Narihira, T., Maire M., & Yu S. X. (2015).  Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. Proceedings of International Conference on Computer Vision.
Friedman, E., Young K., Tremper G., Liang J., Landsberg A. S., & Schuff N. (2015).  Directed Network Motifs in Alzheimer’s Disease and Mild Cognitive Impairment. PLoS ONE.
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
Zhou, T., Lee Y. Jae, Yu S. X., & Efros A. A. (2015).  FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences.
Yang, J., Rübel O., Prabhat, Mahoney M., & Bowen B. P. (2015).  Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions. Analytical Chemistry. 87(9), 4658-4666.
Yang, J., Meng X., & Mahoney M. (2015).  Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Narihira, T., Borth D., Yu S. X., Ni K., & Darrell T. (2015).  Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets.
Zhu, R., Ma P., Mahoney M., & Yu B. (2015).  Optimal Subsampling Approaches for Large Sample Linear Regression.
Beijbom, O., Hoffman J., Yao E., Darrell T., Rodriguez-Ramirez A., Gonzalez-Rivero M., et al. (2015).  Quantification in-the-wild: data-sets and baselines. CoRR. abs/1510.04811,
Yang, J., Chow Y-L., Re C., & Mahoney M. (2015).  Weighted SGD for ℓp Regression with Randomized Preconditioning. Proceedings of the 27th Annual SODA Conference. 558-569.
2016
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.
Yuan, A., Luther K., Krause M., Vennix S. Isabel, Dow S. P., & Hartmann B. (2016).  Almost an expert: The effects of rubrics and expertise on perceived value of crowdsourced design critiques. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. 1005-1017.
Bertasius, G., Yu S. X., Park H. Soo, & Shi J. (2016).  Am I a Baller? Basketball Skill Assessment using First-Person Cameras.
Bertasius, G., Torresani L., Yu S. X., & Shi J. (2016).  Convolutional Random Walk Networks for Semantic Image Segmentation.
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.
Bertasius, G., Yu S. X., & Shi J. (2016).  Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels.
Yang, J., Mahoney M., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
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.
Bertasius, G., Park H. Soo, Yu S. X., & Shi J. (2016).  First Person Action-Object Detection with EgoNet.
Amirshahi, S. Ali, Pedersen M., & Yu S. X. (2016).  Image Quality Assessment by Comparing CNN Features Between Images. Journal of Imaging Science and Technology.
Shi, J., Dong Y., Su H., & Yu S. X. (2016).  Learning Non-Lambertian Object Intrinsics across ShapeNet Categories.
Gittens, A., Devarakonda A., Racah E., Ringenburg M., Gerhardt L., Kottalam J., et al. (2016).  Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.

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