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Erik Learned-Miller
Full Professor, Computer Science, Manning College of Information and Computer Sciences, University of Massachusetts, Amherst
Joined
February 2017
Names
Erik Learned-Miller
(Preferred)
,
Eric Learned-Miller
,
Erik G. Learned-Miller
,
Erik Learned Miller
,
Erik G Learned-Miller
,
Erik Gundersen Miller
Emails
****@cs.umass.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@umass.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Full Professor
Computer Science,
Manning College of Information and Computer Sciences, University of Massachusetts, Amherst
(cs.umass.edu)
2016
–
Present
Associate Professor
Computer Science,
Department of Computer Science, University of Massachusetts at Amherst
(cs.umass.edu)
2010
–
2016
Assistant Professor
Computer Science,
Department of Computer Science, University of Massachusetts at Amherst
(cs.umass.edu)
2004
–
2010
Postdoc
Computer Science,
UC Berkeley, University of California, Berkeley
(cs.berkeley.edu)
2002
–
2004
PhD student
EECS,
Electrical Engineering & Computer Science, Massachusetts Institute of Technology
(eecs.mit.edu)
1995
–
2002
MS student
EECS,
Electrical Engineering & Computer Science, Massachusetts Institute of Technology
(eecs.mit.edu)
1995
–
1997
Undergrad student
Psychology,
Yale University
(yale.edu)
1984
–
1988
Advisors, Relations & Conflicts
Advisor
Paul Viola
Present
PhD Advisee
Huaizu Jiang
2016
–
2016
PhD Advisee
Pia Bideau
2016
–
2016
Coauthor
Tsung-yu Lin
2015
–
2016
Coauthor
Subhransu Maji
2015
–
2016
Coauthor
Andras Ferencz
2011
–
2016
Coauthor
Evangelos Kalogerakis
2015
–
2015
PhD Advisee
Aruni Roychowdhury
2015
–
2015
PhD Advisee
Hang Su
2015
–
2015
PhD Advisee
Manjunath Narayana
2008
–
2015
Coauthor
Allen Hanson
2005
–
2015
Coauthor
Benjamin Marlin
2014
–
2014
PhD Advisee
Laura Sevilla-lara
2014
–
2014
Coauthor
Honglak Lee
2011
–
2014
Coauthor
Kihyuk Sohn
2011
–
2014
Coauthor
Ming-hsuan Yang
2011
–
2014
Coauthor
Matthew Turk
2011
–
2014
Coauthor
Gang Hua
2011
–
2014
Coauthor
Thomas Huang
2011
–
2014
Coauthor
Yi Ma
2011
–
2014
Coauthor
Deqing Sun
2011
–
2014
Coauthor
David Kriegman
2011
–
2014
PhD Advisee
Jacqueline Feild
2011
–
2014
Coauthor
Carl Doersch
2010
–
2014
Coauthor
Andrew Kae
2009
–
2014
PhD Advisee
Gary Huang
2007
–
2014
PhD Advisee
Vidit Jain
2006
–
2014
PhD Advisee
Manjunath Narayana
2007
–
2013
PhD Advisee
Jerod Weinman
2006
–
2009
Coauthor
Jitendra Malik
2004
–
2008
Coauthor
Volker Blanz
2006
–
2006
Coauthor
Matthew Blaschko
2005
–
2005
Coauthor
Lilla Zollei
2005
–
2005
Coauthor
Alexander Berg
2004
–
2004
Coauthor
Yee Teh
2004
–
2004
Coauthor
Tamara Berg
2004
–
2004
Coauthor
Michael Maire
2004
–
2004
Coauthor
David Forsyth
2004
–
2004
Coauthor
Tamara Berg
2004
–
2004
Coauthor
Christophe Chefd'hotel
2003
–
2003
Coauthor
John Fisher iii
2003
–
2003
Coauthor
Kinh Tieu
2002
–
2002
Coauthor
Ron Kikinis
2001
–
2001
Coauthor
Ferenc Jolesz
2001
–
2001
Coauthor
Chris Stauffer
2001
–
2001
Coauthor
Simon Warfield
2001
–
2001
Coauthor
Jan Rexilius
2001
–
2001
Expertise
motion estimation
,
optical flow
2000
–
2022
self-supervised learning
,
unsupervised learning
2000
–
2022
event cameras
2000
–
2022
Publications
E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera
Zhipeng Tang
,
Shifan Zhu
,
Zezhou Cheng
,
Donghyun Kim
,
Erik Learned-Miller
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025
Readers:
Everyone
Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization
Yilun Kuang
,
Yash Dagade
,
Deep Chakraborty
,
Erik Learned-Miller
,
Randall Balestriero
,
Tim G. J. Rudner
,
Yann LeCun
NeurReps 2025 Poster
Readers:
Everyone
Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization
Yilun Kuang
,
Yash Dagade
,
Deep Chakraborty
,
Erik Learned-Miller
,
Randall Balestriero
,
Tim G. J. Rudner
,
Yann LeCun
UniReps2025
Readers:
Everyone
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
Deep Chakraborty
,
Yann LeCun
,
Tim G. J. Rudner
,
Erik Learned-Miller
AISTATS 2025 Poster
Readers:
Everyone
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
Ashish Singh
,
Prateek Agarwal
,
Zixuan Huang
,
Arpita Singh
,
Tong Yu
,
Sungchul Kim
,
Victor Bursztyn
,
Nesreen K. Ahmed
,
Erik Learned-Miller
,
Ryan A. Rossi
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
Squeezing Water from a Stone: Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization
Deep Chakraborty
,
Tim G. J. Rudner
,
Erik Learned-Miller
NeurIPS 2024 Workshop SSL
Readers:
Everyone
Eval: Explainable video anomaly localization
Ashish Singh
,
Michael Jeffrey Jones
,
Erik Learned-Miller
CVPR 2023
Readers:
Everyone
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields
Pia Bideau
,
Erik G. Learned-Miller
,
Cordelia Schmid
,
Karteek Alahari
Int. J. Comput. Vis. 2024
Readers:
Everyone
Tracklet-based Explainable Video Anomaly Localization
Ashish Singh
,
Michael J. Jones
,
Erik G. Learned-Miller
CVPR Workshops 2024
Readers:
Everyone
LegoNet: Piecing Together and Breaking Apart Sub-Networks for Scalable Multi-task Learning
Zitian Chen
,
Mingyu Ding
,
Yikang Shen
,
Wei Zhan
,
Erik Learned-Miller
,
Chuang Gan
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
View all 183 publications
Co-Authors
Abrar Rahman
Aditya Prasad
Alexander C. Berg
Alexander New
Alireza Sedghi
Allen R. Hanson
Andras Ferencz
Andrea Soltoggio
Andrew Kae
Andrew McCallum
Andrew P. Brna
Andrew Zisserman
Angel Yanguas-Gil
Angela Paisley
Antonio Torralba
Anurag Reddy Daram
Anxiao Jiang
Aria Masoomi
Arpita Singh
Aruni RoyChowdhury
Ashish Singh
Ashutosh Singh
Aswin Raghavan
Atsushi Tatsuma
Baoquan Chen
View all 271 co-authors