Brian Kulis

Cited by

	All	Since 2018
Citations	18921	9157
h-index	37	30
i10-index	47	45

1700

850

425

1275

20062007200820092010201120122013201420152016201720182019202020212022202386 166 212 331 520 602 802 989 1185 1529 1498 1547 1562 1563 1622 1593 1556 1260

Public access

View all

8 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Kate SaenkoBoston UniversityVerified email at bu.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Suvrit SraTU Munich / MITVerified email at mit.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Xide XiaResearch Scientist, Meta GenAIVerified email at fb.com
Bart SelmanProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
John HopcroftCornell 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
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Ali SiahkamariPhD, Boston UniversityVerified email at bu.edu
Matyas A SustikUniversity of Texas at AustinVerified email at cs.utexas.edu
Rachel ManzelliBoston UniversityVerified email at bu.edu
Sugato BasuDistinguished Scientist at GoogleVerified email at google.com
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Jiawen ChenResearch Scientist at AdobeVerified email at adobe.com
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk

Brian Kulis

Associate Professor at Boston University & Amazon Scholar

Verified email at bu.edu - Homepage

Machine Learning Artificial Intelligence Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	3041	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	2628	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	1601	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	1251	2007
Metric learning: A survey B Kulis Foundations and Trends® in Machine Learning 5 (4), 287-364, 2013	1108	2013
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009	1101	2009
Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems 22, 2009	1011	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	860	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	655	2005
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	457	2004
Revisiting k-means: New algorithms via Bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011	455	2011
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011	415	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	351	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	314	2009
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009	296	2009
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	282	2019
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	280	2004
W-net: A deep model for fully unsupervised image segmentation X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017	278	2017
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	263	2008
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006	233	2006

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors