Erik G. Learned-Miller

发表

Sign Classification using Local and Meta-Features

Allen R. Hanson, Marwan A. Mattar, Erik G. Learned-Miller, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Self-Supervised Relative Depth Learning for Urban Scene Understanding

Gregory Shakhnarovich, Huaizu Jiang, Michael Maire, 2017, ECCV.

It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos pdf

Erik G. Learned-Miller, Pia Bideau, E. Learned-Miller, 2016, ECCV.

A Framework for Dexterous Manipulation

Julia Badger, Li Yang Ku, Jonathan Rogers, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Face Identification with Bilinear CNNs pdf

Subhransu Maji, Erik G. Learned-Miller, Tsung-Yu Lin, 2015, ArXiv.

Bounding the Probability of Error for High Precision Recognition pdf

Erik G. Learned-Miller, Gary B. Huang, Andrew Kae, 2009, ArXiv.

Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment

Laura Sevilla-Lara, Erik G. Learned-Miller, Benjamin Mears, 2013, BMVC.

Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery

Subhransu Maji, Erik G. Learned-Miller, Daniel Sheldon, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The Aspect Transition Graph: An Affordance-Based Model

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2014, ECCV Workshops.

Nonparametric curve alignment

Marwan A. Mattar, Erik G. Learned-Miller, Michael G. Ross, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood

Erik G. Learned-Miller, Vidit Jain, 2005, IPMI.

ICA Using Spacings Estimates of Entropy

John W. Fisher, Erik G. Learned-Miller, E. Learned-Miller, 2003, J. Mach. Learn. Res..

Cryptogram Decoding for OCR Using Numerization Strings

Andrew McCallum, Erik G. Learned-Miller, Gary B. Huang, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Efficient Population Registration of 3D Data

W. Eric L. Grimson, William M. Wells, Erik G. Learned-Miller, 2005, CVBIA.

Learning class-specific image transformations with higher-order Boltzmann machines

Erik G. Learned-Miller, Gary B. Huang, E. Learned-Miller, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Erik G. Learned-Miller, David L. Smith, Jacqueline L. Feild, 2011, CVPR 2011.

Pixel-Adaptive Convolutional Neural Networks

Hang Su, Jan Kautz, Varun Jampani, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The Shape-Time Random Field for Semantic Video Labeling

Benjamin M. Marlin, Erik G. Learned-Miller, Andrew Kae, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised Joint Alignment of Complex Images

Erik G. Learned-Miller, Gary B. Huang, Vidit Jain, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Learning to Align from Scratch

Honglak Lee, Marwan A. Mattar, Erik G. Learned-Miller, 2012, NIPS.

Introduction to the Special Section on Real-World Face Recognition

Gang Hua, David J. Kriegman, Thomas S. Huang, 2011, IEEE Trans. Pattern Anal. Mach. Intell..

Background modeling using adaptive pixelwise kernel variances in a hybrid feature space

Allen R. Hanson, Erik G. Learned-Miller, Manjunath Narayana, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Combining Local and Global Image Features for Object Class Recognition

Matthew B. Blaschko, Marwan A. Mattar, Erik G. Learned-Miller, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Associating Grasping with Convolutional Neural Network Features pdf

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2016, ArXiv.

Learning on the fly: a font-free approach toward multilingual OCR

David A. Smith, Erik G. Learned-Miller, Andrew Kae, 2011, International Journal on Document Analysis and Recognition (IJDAR).

Improving Recognition of Novel Input with Similarity

Erik G. Learned-Miller, Jerod J. Weinman, E. Learned-Miller, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Towards unconstrained face recognition

Erik G. Learned-Miller, Gary B. Huang, Manjunath Narayana, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Forensic Triage for Mobile Phones with DEC0DE

Brian Neil Levine, Erik G. Learned-Miller, Robert J. Walls, 2011, USENIX Security Symposium.

Optical Flow Estimation with Channel Constancy

Michael J. Black, Deqing Sun, Laura Sevilla-Lara, 2014, ECCV.

Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense

Hang Su, Li Hong, Huaizu Jiang, 2019, CVPR Workshops.

Scene Text Segmentation via Inverse Rendering

Rui Wang, Erik G. Learned-Miller, Jacqueline L. Feild, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Distribution fields for tracking

Laura Sevilla-Lara, Erik G. Learned-Miller, E. Learned-Miller, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Associating grasp configurations with hierarchical features in convolutional neural networks

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Detailed Rubric for Motion Segmentation pdf

Erik G. Learned-Miller, Pia Bideau, E. Learned-Miller, 2016, ArXiv.

One-to-many face recognition with bilinear CNNs

Subhransu Maji, Erik G. Learned-Miller, Tsung-Yu Lin, 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

MoA-Net: Self-supervised Motion Segmentation

Erik G. Learned-Miller, Pia Bideau, Rakesh R. Menon, 2018, ECCV Workshops.

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification pdf

Heesung Kwon, Benjamin M. Marlin, Erik G. Learned-Miller, 2019, ArXiv.

Improving state-of-the-art OCR through high-precision document-specific modeling

Erik G. Learned-Miller, Carl Doersch, Gary B. Huang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Bounding the Probability of Error for High Precision Optical Character Recognition

Erik G. Learned-Miller, Carl Doersch, Gary B. Huang, 2012, J. Mach. Learn. Res..

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

Jan Kautz, Varun Jampani, Deqing Sun, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Joint MRI Bias Removal Using Entropy Minimization Across Images

Parvez Ahammad, Erik G. Learned-Miller, E. Learned-Miller, 2004, NIPS.

Improvements in Joint Domain-Range Modeling for Background Subtraction

Allen R. Hanson, Erik G. Learned-Miller, Manjunath Narayana, 2012, BMVC.

Unsupervised Hard Example Mining from Videos for Improved Object Detection pdf

Aditya Prasad, Huaizu Jiang, Erik G. Learned-Miller, 2018, ECCV.

Automatic Adaptation of Object Detectors to New Domains Using Self-Training

Liangliang Cao, Huaizu Jiang, Erik G. Learned-Miller, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminative Training of Hyper-feature Models for Object Identification

Erik G. Learned-Miller, Andras Ferencz, Vidit Jain, 2006, BMVC.

Self-Supervised Depth Learning for Urban Scene Understanding pdf

Gregory Shakhnarovich, Huaizu Jiang, Michael Maire, 2017, ArXiv.

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Andrew McCallum, Erik G. Learned-Miller, Haw-Shiuan Chang, 2017, NIPS.

Context-Sensitive Error Correction: Using Topic Models to Improve OCR

Michael L. Wick, Erik G. Learned-Miller, Michael G. Ross, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Learning to Use a Ratchet by Modeling Spatial Relations in Demonstrations

Julia Badger, Roderic A. Grupen, Li Yang Ku, 2018, ISER.

Half-Wits: Software Techniques for Low-Voltage Probabilistic Storage on Microcontrollers with NOR Flash Memory

Yue Wang, Anxiao Jiang, Kevin Fu, 2013, TECS.

Learning Hyper-Features for Visual Identification

Erik G. Learned-Miller, Jitendra Malik, Andras Ferencz, 2004, NIPS.

Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering

Christopher Joseph Pal, Erik G. Learned-Miller, David Kulp, 2007, BMC Bioinformatics.

Guest Editorial: Best of CVPR 2015

Andrew Zisserman, Antonio Torralba, Kristen Grauman, 2017, IEEE Trans. Pattern Anal. Mach. Intell..

People-LDA: Anchoring Topics to People using Face Recognition

Andrew McCallum, Erik G. Learned-Miller, Vidit Jain, 2007, 2007 IEEE 11th International Conference on Computer Vision.

End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering

Hang Su, Erik G. Learned-Miller, Chris Stauffer, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Background subtraction: separating the modeling and the inference

Allen R. Hanson, Erik G. Learned-Miller, Manjunath Narayana, 2013, Machine Vision and Applications.

Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics

Allen R. Hanson, Marwan A. Mattar, Erik G. Learned-Miller, 2012, UAI.

Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation

Allen R. Hanson, Erik G. Learned-Miller, Jerod J. Weinman, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling

Honglak Lee, Erik G. Learned-Miller, Kihyuk Sohn, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Locate Informative Features for Visual Identification

Erik G. Learned-Miller, Jitendra Malik, Andras Ferencz, 2008, International Journal of Computer Vision.

Face Detection with the Faster R-CNN

Huaizu Jiang, Erik G. Learned-Miller, E. Learned-Miller, 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Error detection and surprise in stochastic robot actions

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Turning Off GPS Is Not Enough: Cellular Location Leaks over the Internet

Brian Neil Levine, Erik G. Learned-Miller, Marc Liberatore, 2013, Privacy Enhancing Technologies.

Concentration Inequalities for Conditional Value at Risk

Philip S. Thomas, Erik G. Learned-Miller, P. Thomas, 2019, ICML.

Building a classification cascade for visual identification from one example

Erik G. Learned-Miller, Jitendra Malik, Andras Ferencz, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Data driven image models through continuous joint alignment

Erik G. Learned-Miller, E. Learned-Miller, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation

Erik G. Learned-Miller, Pia Bideau, Aruni RoyChowdhury, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations

Allen R. Hanson, Erik G. Learned-Miller, Manjunath Narayana, 2013, 2013 IEEE International Conference on Computer Vision.

Combinatorial Markov Random Fields

Erik G. Learned-Miller, Ron Bekkerman, Mehran Sahami, 2006, ECML.

Online domain adaptation of a pre-trained cascade of classifiers

Erik G. Learned-Miller, Vidit Jain, E. Learned-Miller, 2011, CVPR 2011.

Using a Probabilistic Syllable Model to Improve Scene Text Recognition

Erik G. Learned-Miller, David A. Smith, Jacqueline L. Feild, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Detecting Acromegaly: Screening for Disease with a Morphable Model

Qifeng Lu, Erik G. Learned-Miller, Volker Blanz, 2006, MICCAI.

Learning on the Fly: Font-Free Approaches to Difficult OCR Problems

Erik G. Learned-Miller, Andrew Kae, 2009, 2009 10th International Conference on Document Analysis and Recognition.

From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing

W. Bruce Croft, Jaap Kamps, Hamed Zamani, 2018, CIKM.

SENSE: A Shared Encoder Network for Scene-Flow Estimation

Jan Kautz, Varun Jampani, Deqing Sun, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot

Erik G. Learned-Miller, Jerod J. Weinman, David Walker Duhon, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

An aspect representation for object manipulation based on convolutional neural networks

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Modeling Objects as Aspect Transition Graphs to Support Manipulation

Roderic A. Grupen, Li Yang Ku, Erik G. Learned-Miller, 2015, ISRR.

A discriminative semi-Markov model for robust scene text recognition

Allen R. Hanson, Erik G. Learned-Miller, Jerod J. Weinman, 2008, 2008 19th International Conference on Pattern Recognition.

A New Confidence Interval for the Mean of a Bounded Random Variable pdf

Philip S. Thomas, Erik G. Learned-Miller, P. Thomas, 2019, ArXiv.

A Probabilistic Upper Bound on Differential Entropy

Erik G. Learned-Miller, Joseph DeStefano, E. Learned-Miller, 2005, IEEE Transactions on Information Theory.

Names and faces in the news

Yee Whye Teh, David A. Forsyth, Ryan White, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Improving Open-Vocabulary Scene Text Recognition

Erik G. Learned-Miller, Jacqueline L. Feild, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Exploiting Half-Wits: Smarter Storage for Low-Power Devices

Yue Wang, Anxiao Jiang, Kevin Fu, 2011, FAST.