Erik Learned-Miller

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Gary B. HuangJanelia Farm Research Campus, HHMI; University of Massachusetts, AmherstVerified email at cs.umass.edu
Huaizu JiangAssistant Professor, Northeastern UniversityVerified email at northeastern.edu
Subhransu MajiUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Aruni RoyChowdhuryApplied Scientist, AWS AIVerified email at cs.umass.edu
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Hang SuNVIDIA ResearchVerified email at nvidia.com
Deqing SunResearch Scientist, GoogleVerified email at google.com
Varun JampaniResearcher, Google ResearchVerified email at google.com
Evangelos KalogerakisAssociate Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Laura Sevilla-LaraLecturer at University of EdinburghVerified email at ed.ac.uk
Jerod J. WeinmanAssociate Professor of Computer Science, Grinnell CollegeVerified email at grinnell.edu
Andrew KaeGraduate Student, University of Massachusetts AmherstVerified email at cs.umass.edu
Pia BideauPostdoctoral researcher, TU BerlinVerified email at tu-berlin.de
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
Manjunath NarayanaUniversity of Massachusetts AmherstVerified email at cs.umass.edu
SouYoung JinMassachusetts Institute of Technology (MIT)Verified email at mit.edu
Li Yang KuPhD student of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Alexander C BergProfessor of Computer Science, University of North Carolina at California IrvineVerified email at uci.edu

Erik Learned-Miller

Professor of Computer Science, University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Computer Vision Machine Learning Statistics Probability Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments GB Huang, M Ramesh, T Berg, E Learned-Miller	6031	2008
Multi-view convolutional neural networks for 3d shape recognition H Su, S Maji, E Kalogerakis, E Learned-Miller Proceedings of the IEEE international conference on computer vision, 945-953, 2015	2506	2015
FDDB: A benchmark for face detection in unconstrained settings V Jain, EG Learned-Miller UMass Amherst Technical Report, 2010	1088	2010
Distribution fields for tracking L Sevilla-Lara, E Learned-Miller 2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012	701	2012
Face Detection with the Faster R-CNN H Jiang, E Learned-Miller Automatic Face and Gesture Recognition, 2017	679	2017
Names and faces in the news TL Berg, AC Berg, J Edwards, M Maire, R White, YW Teh, ... Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	517	2004
Learning hierarchical representations for face verification with convolutional deep belief networks GB Huang, H Lee, E Learned-Miller 2012 IEEE conference on computer vision and pattern recognition, 2518-2525, 2012	485	2012
Labeled faces in the wild: A survey E Learned-Miller, GB Huang, A RoyChowdhury, H Li, G Hua Advances in face detection and facial image analysis, 189-248, 2016	471	2016
Super slomo: High quality estimation of multiple intermediate frames for video interpolation H Jiang, D Sun, V Jampani, MH Yang, E Learned-Miller, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2018	457	2018
Learning from one example through shared densities on transforms EG Miller, NE Matsakis, PA Viola Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000	438	2000
Unsupervised joint alignment of complex images GB Huang, V Jain, E Learned-Miller 2007 IEEE 11th international conference on computer vision, 1-8, 2007	410	2007
ICA using spacings estimates of entropy EG Learned-Miller, JW Fisher III The Journal of Machine Learning Research 4, 1271-1295, 2003	350	2003
Data driven image models through continuous joint alignment EG Learned-Miller IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2), 236-250, 2005	345	2005
Apparatus for neurosurgical stereotactic procedures M Carol, JL Day, EG Miller, RJ Riker US Patent 5,695,501, 1997	345	1997
Learning to align from scratch G Huang, M Mattar, H Lee, E Learned-Miller Advances in neural information processing systems 25, 2012	339	2012
Labeled faces in the wild: Updates and new reporting procedures GB Huang, E Learned-Miller Dept. Comput. Sci., Univ. Massachusetts Amherst, Amherst, MA, USA, Tech. Rep …, 2014	291	2014
Combining local and global image features for object class recognition DA Lisin, MA Mattar, MB Blaschko, EG Learned-Miller, MC Benfield 2005 IEEE computer society conference on computer vision and pattern …, 2005	271	2005
Scene text recognition using similarity and a lexicon with sparse belief propagation JJ Weinman, E Learned-Miller, AR Hanson IEEE Transactions on pattern analysis and machine intelligence 31 (10), 1733 …, 2009	243	2009
Active bias: Training more accurate neural networks by emphasizing high variance samples HS Chang, E Learned-Miller, A McCallum Advances in Neural Information Processing Systems 30, 2017	231	2017
Online domain adaptation of a pre-trained cascade of classifiers V Jain, E Learned-Miller CVPR 2011, 577-584, 2011	207	2011

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