Erik Learned-Miller

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Gary B. HuangJanelia Farm Research Campus, HHMI; University of Massachusetts, AmherstVerified email at cs.umass.edu
Subhransu MajiUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Huaizu JiangAssistant Professor, Northeastern UniversityVerified email at northeastern.edu
Aruni RoyChowdhuryComputer Vision, MathWorks Inc.Verified email at cs.umass.edu
Evangelos KalogerakisAssociate Professor, UMass Amherst | Research Affiliate, CYENSVerified 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, Google DeepMindVerified email at google.com
Varun JampaniVice President of Research, Stability AIVerified email at stability.ai
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Pia BideauResearcher, INRIA GrenobleVerified email at inria.fr
Laura Sevilla-LaraReader at University of EdinburghVerified email at ed.ac.uk
Jerod J. WeinmanProfessor of Computer Science, Grinnell CollegeVerified email at grinnell.edu
Andrew KaeGraduate Student, University of Massachusetts AmherstVerified email at cs.umass.edu
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
Manjunath NarayanaUniversity of Massachusetts AmherstVerified email at cs.umass.edu
SouYoung JinDartmouth CollegeVerified email at dartmouth.edu
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk

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	8131	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	4210	2015
FDDB: A benchmark for face detection in unconstrained settings V Jain, EG Learned-Miller UMass Amherst Technical Report, 2010	1357	2010
Face Detection with the Faster R-CNN H Jiang, E Learned-Miller Automatic Face and Gesture Recognition, 2017	1013	2017
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	913	2018
Distribution fields for tracking L Sevilla-Lara, E Learned-Miller 2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012	735	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	728	2016
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	565	2000
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	550	2012
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	536	2004
Unsupervised joint alignment of complex images GB Huang, V Jain, E Learned-Miller 2007 IEEE 11th international conference on computer vision, 1-8, 2007	456	2007
Learning to align from scratch G Huang, M Mattar, H Lee, E Learned-Miller Advances in neural information processing systems 25, 2012	415	2012
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	409	2017
In defense of grid features for visual question answering H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	402	2020
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	399	2014
ICA using spacings estimates of entropy EG Learned-Miller, JW Fisher III The Journal of Machine Learning Research 4, 1271-1295, 2003	390	2003
Pixel Adaptive Convolutional Neural Networks. JK Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller Computer Vision and Pattern Recognition, 2019	386*	2019
Data driven image models through continuous joint alignment EG Learned-Miller IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2), 236-250, 2005	376	2005
Apparatus for neurosurgical stereotactic procedures M Carol, JL Day, EG Miller, RJ Riker US Patent 5,695,501, 1997	361	1997
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	311	2005

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