Publications

Found 159 results
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A
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.
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.
Yaman, S., Tur G., Vergyri D., Hakkani-Tür D., Harper M. P., & Wang W. (2009).  Anchored Speech Recognition for Question Answering. 265-268.
Yu, S. X. (2012).  Angular Embedding: A Robust Quadratic Criterion. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 34(1), 158-173.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Huebsch, R., Chun B., Hellerstein J. M., Loo B. Thau, Maniatis P., Roscoe T., et al. (2005).  The Architecture of PIER: An Internet-Scale Query Processor. Proceedings of Second Biennial Conference on Innovative Data Systems Research (CIDR 2005). 28-43.
Livescu, K., etin Ö. Ç., Hasegawa-Johnson M., King S., Bartels C., Borges N., et al. (2007).  Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 Jhu Summer Workshop.
B
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.
C
Tur, G., Stolcke A., Voss L., Peters S., Hakkani-Tür D., Dowding J., et al. (2010).  The CALO Meeting Assistant System. IEEE Transactions on Audio. 18(6), 1601-1611.
Tur, G., Stolcke A., Voss L., Dowding J., Favre B., Fernández R., et al. (2008).  The CALO Meeting Speech Recognition and Understanding System. 69-72.
Yu, S. X., & Lisin D. (2013).  Change Blindness Reveals Distinctive Featural Processing in Size, Color, and Orientation.
Pang, R., Yegneswaran V., Barford P., Paxson V., & Peterson L. (2004).  Characteristics of Internet Background Radiation. Proceedings of the 2004 Internet Measurement Conference (IMC 2004).
Radoslavov, P., Tangmunarunkit H., Yu H., Govindan R., Shenker S., & Estrin D. (2000).  On Characterizing Network Topologies and Analyzing Their Impact on Protocol Design.
Yaman, S., Hakkani-Tür D., Tur G., Grishman R., Harper M. P., McKeown K. R., et al. (2009).  Classification-Based Strategies for Combining Multiple 5-W Question Answering Systems. 2703-2706.
Popa, L., Yu M., Ko S.. Y., Ratnasamy S., & Stoica I. (2010).  CloudPolice: Taking Access Control out of the Network.
Wang, Z., Hormozdiari F., Yang W-Y., Halperin E., & Eskin E. (2012).  CNVeM: Copy Number Variation Detection Using Uncertainty of Read Mapping. 326-340.
Yaman, S., Hakkani-Tür D., & Tur G. (2009).  Combining Semantic and Syntactic Information Sources for 5-W Question Answering. 2707-2710.
Yaman, S., & Lee C-H. (2008).  A Comparison of Single- and Multi-Objective Programming Approaches to Problems with Multiple Design Objectives. Journal of Signal Processing Systems.
Fiat, A., Karp R. M., Luby M., McGeoch L.. A., Sleator D.. D., & Young N.. E. (1991).  Competitive paging algorithms. Journal of Algorithms. 12(4), 685-699.
Blum, M. E., Karp R. M., Vornberger O.., Papadimitriou C. H., & Yannakakis M.. (1981).  The Complexity of Testing Whether a Graph is a Superconcentrator. 13(4-5), 164-167.
Hung, H., Friedland G., & Yeo C. (2010).  Computationally Efficient Clustering of Audio-Visual Meeting Data. 25-59.
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Bertasius, G., Torresani L., Yu S. X., & Shi J. (2016).  Convolutional Random Walk Networks for Semantic Image Segmentation.

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