Erik Learned-Miller
机构: Professor of Computer Science, University of Massachusetts Amherst
主页: umass.edu
每年引用次数
引用次数
引用: 26,777
H-指数: 51
I10-指数 : 121
出版物: 204
A Framework for Dexterous Manipulation
Li Yang Ku , Jonathan Rogers , Philip Strawser , Julia Badger
intelligent robots and systems 4131 -4138
2018
Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
Marwan Mattar , Tamara Berg , Gary B. Huang , Eric Learned-Miller
Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition
6,545
2008
Guest Editorial: Best of CVPR 2015
Kristin Grauman , Eric Learned-Miller , Antonio Torralba , Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 ( 4) 625 -626
2017
LFW results using a combined Nowak plus MERL recognizer
Gary B Huang , Michael J Jones , Eric Learned-Miller
Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition
58
2008
Guest Editorial: Best of CVPR 2015
Kristin Grauman , Eric Learned-Miller , Antonio Torralba , Andrew Zisserman
IEEE Computer Architecture Letters 39 ( 04) 625 -626
2017
Learning Object-Independent Modes of Variation with Feature Flow Fields
Kinh Tieu , Chris P. Stauffer , Erik G. Miller
Massachusetts Institute of Technology, AI-Memo
1
2001
Learning from one example in machine vision by sharing probability densities
Paul A. Viola , Erik G. Miller
Massachusetts Institute of Technology
40
2002
Unsupervised Color Constancy
Kinh Tieu , Erik G. Miller
neural information processing systems 15 1327 -1334
9
2002
Computer-assisted coregistration of multislice SPECT and MR brain images by fixed external fiducials
Robert T. Malison , Erik G. Miller , Robin Greene , Gregory McCarthy
Journal of Computer Assisted Tomography 17 ( 6) 952 -960
52
1993
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
Simon K Warfield , Jan Rexilius , Petra S Huppi , Terrie E Inder
medical image computing and computer assisted intervention 266 -274
41
2001
Independent Components Analysis by Direct Entropy Minimization
Erik G. Miller , John W. Fisher III
UC Berkeley Technical Report
13
2003
Data driven image models through continuous joint alignment
E.G. Learned-Miller
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 ( 2) 236 -250
357
2006
Building a classification cascade for visual identification from one example
A. Ferencz , E.G. Learned-Miller , J. Malik
international conference on computer vision 1 286 -293
83
2005
Combining Local and Global Image Features for Object Class Recognition
D.A. Lisin , M.A. Mattar , M.B. Blaschko , E.G. Learned-Miller
computer vision and pattern recognition 47 -47
136
2005
Sign Classification using Local and Meta-Features
M.A. Mattar , A.R. Hanson , E.G. Learned-Miller
computer vision and pattern recognition 26 -26
11
2005
Discriminative training of hyper-feature models for object identification
V. Jain , A. Ferencz , E. G. Learned-Miller
british machine vision conference 1 357 -366
41
2006
PriFit: learning to fit primitives improves few shot point cloud segmentation
Gopal Sharma , Bidya Dash , Aruni RoyChowdhury , Matheus Gadelha
Smpte Journal 41 ( 5) 39 -50
2
2022
The UMass Mobile Manipulator UMan: An Experimental Platform for Autonomous Mobile Manipulation
Erik G Learned-Miller , Volodymyr Zhylkovskyy , Anna Grishkan , Emily Horrell
72
2006
FDDB: A benchmark for face detection in unconstrained settings
Erik G Learned-Miller , Vidit Jain
UMass Amherst Technical Report
1,186
2010
Hyperspacings and the estimation of information theoretic quantities
Erik G Learned-Miller
University of Massachusetts - Amherst Technical Report 04 ( 104)
14
2004