Learned-Miller, Erik G.

39 publications

CVPRW 2025 E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera Zhipeng Tang, Shifan Zhu, Zezhou Cheng, Donghyun Kim, Erik G. Learned-Miller

CVPRW 2025 Improving Open-World Object Localization by Discovering Background Ashish Singh, Michael Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller

CVPRW 2024 Tracklet-Based Explainable Video Anomaly Localization Ashish Singh, Michael J. Jones, Erik G. Learned-Miller

CVPR 2023 EVAL: Explainable Video Anomaly Localization Ashish Singh, Michael J. Jones, Erik G. Learned-Miller

CVPR 2023 Mod-SQuAD: Designing Mixtures of Experts as Modular Multi-Task Learners Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan

CVPRW 2022 Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente

CVPRW 2021 Shot in the Dark: Few-Shot Learning with No Base-Class Labels Zitian Chen, Subhransu Maji, Erik G. Learned-Miller

CVPRW 2020 Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin

CVPRW 2019 Automatic Adaptation of Object Detectors to New Domains Using Self-Training Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller

CVPRW 2019 Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense Ashish Singh, Hang Su, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, Rosie Cowell

ECCVW 2018 MoA-Net: Self-Supervised Motion Segmentation Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller

CVPRW 2016 Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller

ECCV 2016 It's Moving! a Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos Pia Bideau, Erik G. Learned-Miller

WACV 2016 One-to-Many Face Recognition with Bilinear CNNs Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller

ECCV 2014 Optical Flow Estimation with Channel Constancy Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black

ECCVW 2014 The Aspect Transition Graph: An Affordance-Based Model Li Yang Ku, Shiraj Sen, Erik G. Learned-Miller, Roderic A. Grupen

CVPR 2012 Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller

CVPR 2012 Distribution Fields for Tracking Laura Sevilla-Lara, Erik G. Learned-Miller

CVPR 2012 Learning Hierarchical Representations for Face Verification with Convolutional Deep Belief Networks Gary B. Huang, Honglak Lee, Erik G. Learned-Miller

NeurIPS 2012 Learning to Align from Scratch Gary Huang, Marwan Mattar, Honglak Lee, Erik G. Learned-miller

UAI 2012 Unsupervised Joint Alignment and Clustering Using Bayesian Nonparametrics Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller

CVPR 2011 Enforcing Similarity Constraints with Integer Programming for Better Scene Text Recognition David L. Smith, Jacqueline L. Feild, Erik G. Learned-Miller

CVPR 2011 Online Domain Adaptation of a Pre-Trained Cascade of Classifiers Vidit Jain, Erik G. Learned-Miller

CVPR 2010 Improving State-of-the-Art OCR Through High-Precision Document-Specific Modeling Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller

CVPRW 2010 Learning Class-Specific Image Transformations with Higher-Order Boltzmann Machines Gary B. Huang, Erik G. Learned-Miller

CVPRW 2008 Towards Unconstrained Face Recognition Gary B. Huang, Manjunath Narayana, Erik G. Learned-Miller

ICCV 2007 People-LDA: Anchoring Topics to People Using Face Recognition Vidit Jain, Erik G. Learned-Miller, Andrew McCallum

ICCV 2007 Unsupervised Joint Alignment of Complex Images Gary B. Huang, Vidit Jain, Erik G. Learned-Miller

ECML-PKDD 2006 Combinatorial Markov Random Fields Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller

CVPR 2006 Improving Recognition of Novel Input with Similarity Jerod J. Weinman, Erik G. Learned-Miller

ICCV 2005 Building a Classification Cascade for Visual Identification from One Example Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik

CVPR 2005 Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Erik G. Learned-Miller, Mark C. Benfield

CVPRW 2005 Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Erik G. Learned-Miller, Mark C. Benfield

CVPR 2005 Sign Classification Using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller

CVPRW 2005 Sign Classification Using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller

NeurIPS 2004 Joint MRI Bias Removal Using Entropy Minimization Across Images Erik G. Learned-miller, Parvez Ahammad

NeurIPS 2004 Learning Hyper-Features for Visual Identification Andras D. Ferencz, Erik G. Learned-miller, Jitendra Malik

CVPR 2004 Names and Faces in the News Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth

JMLR 2003 ICA Using Spacings Estimates of Entropy Erik G. Learned-Miller, John W. Fisher Iii