Brian Kulis

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	All	Since 2016
Citations	14611	7922
h-index	34	31
i10-index	40	38

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Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Kate SaenkoBoston University & MIT-IBM Watson AI LabVerified email at bu.edu
Yuqiang GuanWaymoVerified email at google.com
Suvrit SraMITVerified email at mit.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor, Saarland UniversityVerified email at cispa.saarland
Bart SelmanProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Xide XiaFacebook AIVerified email at bu.edu
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Matyas A SustikUniversity of Texas at AustinVerified email at cs.utexas.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Sugato BasuPrincipal Scientist at GoogleVerified email at google.com
Ali SiahkamariPhD Candidate, Boston UniversityVerified email at bu.edu
Rachel ManzelliBoston UniversityVerified email at bu.edu
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Trevor CampbellAssistant Professor, Statistics, UBCVerified email at stat.ubc.ca
Qichao QueFacebookVerified email at fb.com

Brian Kulis

Associate Professor, Boston University

Verified email at bu.edu - Homepage

Machine Learning Artificial Intelligence Computer Vision


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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	2327	2007
Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010	1714	2010
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	1302	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	983	2007
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009	957	2009
Learning to Hash with Binary Reconstructive Embeddings. B Kulis, T Darrell NIPS 22, 1042-1050, 2009	853	2009
Metric learning: A survey B Kulis Foundations and trends in machine learning 5 (4), 287-364, 2012	744	2012
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	727	2011
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	600	2009
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	395	2004
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011	365	2011
Revisiting k-means: New algorithms via Bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011	355	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	333	2008
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	294	2009
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009	252	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	241	2004
Online Metric Learning and Fast Similarity Search. P Jain, B Kulis, IS Dhillon, K Grauman NIPS 8, 761-768, 2008	235	2008
Metric and kernel learning using a linear transformation P Jain, B Kulis, JV Davis, IS Dhillon The Journal of Machine Learning Research 13, 519-547, 2012	203	2012
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006	199	2006
Natural communities in large linked networks J Hopcroft, O Khan, B Kulis, B Selman Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	182	2003

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