Brian Kulis

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon在 cs.utexas.edu 的電子郵件地址已通過驗證
Kate SaenkoBoston University在 bu.edu 的電子郵件地址已通過驗證
Trevor DarrellProfessor of Computer Science, U.C. Berkeley在 eecs.berkeley.edu 的電子郵件地址已通過驗證
Prateek JainGoogle Research India在 google.com 的電子郵件地址已通過驗證
Kristen GraumanProfessor of Computer Science, University of Texas at Austin在 cs.utexas.edu 的電子郵件地址已通過驗證
Suvrit SraTUM and MIT在 mit.edu 的電子郵件地址已通過驗證
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland University在 cispa.de 的電子郵件地址已通過驗證
Xide XiaResearch Scientist, Meta GenAI在 fb.com 的電子郵件地址已通過驗證
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的電子郵件地址已通過驗證
Bart SelmanProfessor of Computer Science, Cornell University在 cs.cornell.edu 的電子郵件地址已通過驗證
John HopcroftCornell University在 cs.cornell.edu 的電子郵件地址已通過驗證
Ali SiahkamariPhD, Boston University在 bu.edu 的電子郵件地址已通過驗證
Raymond MooneyProfessor of Computer Science, University of Texas at Austin在 cs.utexas.edu 的電子郵件地址已通過驗證
Sugato BasuDistinguished Scientist at Google在 google.com 的電子郵件地址已通過驗證
Judy HoffmanAssistant Professor, Georgia Tech在 gatech.edu 的電子郵件地址已通過驗證
Matyas A SustikUniversity of Texas at Austin在 cs.utexas.edu 的電子郵件地址已通過驗證
Venkatesh SaligramaAI Professor and Amazon Scholar在 bu.edu 的電子郵件地址已通過驗證
Jiawen ChenResearch Scientist at Adobe在 adobe.com 的電子郵件地址已通過驗證
Tianfan XueInformation Engineering Department, The Chinese University of Hong Kong在 ie.cuhk.edu.hk 的電子郵件地址已通過驗證
Kun HeResearch Scientist, Reality Labs @ Meta在 meta.com 的電子郵件地址已通過驗證

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Brian Kulis

Associate Professor at Boston University & Amazon Scholar

在 bu.edu 的電子郵件地址已通過驗證 - 首頁

Machine Learning Artificial Intelligence Computer Vision


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	3441	2010
Information-theoretic metric learning JV Davis, B Kulis, P Jain, S Sra, IS Dhillon Proceedings of the 24th international conference on Machine learning, 209-216, 2007	2665	2007
Kernel k-means: spectral clustering and normalized cuts IS Dhillon, Y Guan, B Kulis Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1688	2004
Weighted graph cuts without eigenvectors a multilevel approach IS Dhillon, Y Guan, B Kulis IEEE transactions on pattern analysis and machine intelligence 29 (11), 1944 …, 2007	1334	2007
Metric learning: A survey B Kulis Foundations and Trends® in Machine Learning 5 (4), 287-364, 2013	1186	2013
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009	1130	2009
Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems 22, 2009	1032	2009
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms B Kulis, K Saenko, T Darrell CVPR 2011, 1785-1792, 2011	898	2011
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005	673	2005
Revisiting k-means: New algorithms via Bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011	477	2011
Tracking evolving communities in large linked networks J Hopcroft, O Khan, B Kulis, B Selman Proceedings of the National Academy of Sciences 101 (suppl_1), 5249-5253, 2004	467	2004
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011	423	2011
Fast image search for learned metrics P Jain, B Kulis, K Grauman 2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008	357	2008
W-net: A deep model for fully unsupervised image segmentation X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017	329	2017
Deep metric learning to rank F Cakir, K He, X Xia, B Kulis, S Sclaroff Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	328	2019
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	324	2009
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009	315	2009
A unified view of kernel k-means, spectral clustering and graph cuts IS Dhillon, Y Guan, B Kulis Computer Science Department, University of Texas at Austin, 2004	289	2004
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	261	2008
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006	244	2006

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