Ambiguity and Constraint in Mathematical Expression Recognition. - Erik G. Miller; Paul A. Viola (AAAI/IAAI, 1998)

Alternative Tilings for Improved Surface Area Estimates by Local Counting Algorithms. - Erik G. Miller (Comput. Vis. Image Underst., 1999)

Learning from One Example through Shared Densities on Transforms. - Erik G. Miller; Nicholas E. Matsakis; Paul A. Viola (CVPR, 2000)

Color Eigenflows: Statistical Modeling of Joint Color Changes. - Erik G. Miller; Kinh Tieu (ICCV, 2001)

A Binary Entropy Measure to Assess Nonrigid Registration Algorithms. - Simon K. Warfield; Jan Rexilius; Petra S. Huppi; Terrie E. Inder; Erik G. Miller; William M. Wells III; Gary P. Zientara; Ferenc A. Jolesz; Ron Kikinis (MICCAI, 2001)

Transform-invariant Image Decomposition with Similarity Templates. - Chris Stauffer; Erik G. Miller; Kinh Tieu (NIPS, 2001)

Unsupervised Color Constancy. - Kinh Tieu; Erik G. Miller (NIPS, 2002)

Learning from one example in machine vision by sharing probability densities. - Erik Gundersen Miller (2002)

Practical Non-parametric Density Estimation on a Transformation Group for Vision. - Erik G. Miller; Christophe Chefd'Hotel (CVPR (2), 2003)

A new class of entropy estimators for multi-dimensional densities. - Erik G. Miller (ICASSP (3), 2003)

ICA Using Spacings Estimates of Entropy. - Erik G. Learned-Miller; John W. Fisher III (J. Mach. Learn. Res., 2003)

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 (CVPR (2), 2004)

Learning Hyper-Features for Visual Identification. - Andras Ferencz; Erik G. Learned-Miller; Jitendra Malik (NIPS, 2004)

Joint MRI Bias Removal Using Entropy Minimization Across Images. - Erik G. Learned-Miller; Parvez Ahammad (NIPS, 2004)

Efficient Population Registration of 3D Data. - Lilla Zöllei; Erik G. Learned-Miller; W. Eric L. Grimson; William M. Wells III (CVBIA, 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 Workshops, 2005)

Sign Classification using Local and Meta-Features. - Marwan A. Mattar; Allen R. Hanson; Erik G. Learned-Miller (CVPR Workshops, 2005)

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

Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood. - Erik G. Learned-Miller; Vidit Jain (IPMI, 2005)

Discriminative Training of Hyper-feature Models for Object Identification. - Vidit Jain; Andras Ferencz; Erik G. Learned-Miller (BMVC, 2006)

Improving Recognition of Novel Input with Similarity. - Jerod J. Weinman; Erik G. Learned-Miller (CVPR (1), 2006)

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

Detecting Acromegaly: Screening for Disease with a Morphable Model. - Erik G. Learned-Miller; Qifeng Lu; Angela Paisley; Peter Trainer; Volker Blanz; Katrin Dedden; Ralph Miller (MICCAI (2), 2006)

Data Driven Image Models through Continuous Joint Alignment. - Erik G. Learned-Miller (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Unsupervised Joint Alignment of Complex Images. - Gary B. Huang; Vidit Jain; 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)

Cryptogram Decoding for OCR Using Numerization Strings. - Gary B. Huang; Erik G. Learned-Miller; Andrew McCallum (ICDAR, 2007)

Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation. - Jerod J. Weinman; Erik G. Learned-Miller; Allen R. Hanson (ICDAR, 2007)

Context-Sensitive Error Correction: Using Topic Models to Improve OCR. - Michael L. Wick; Michael G. Ross; Erik G. Learned-Miller (ICDAR, 2007)

Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot. - David Walker Duhon; Jerod J. Weinman; Erik G. Learned-Miller (ICRA, 2007)

Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. - Manjunatha Jagalur; Chris Pal; Erik G. Learned-Miller; R. Thomas Zoeller; David Kulp (BMC Bioinform., 2007)

Towards unconstrained face recognition. - Gary B. Huang; Manjunath Narayana; Erik G. Learned-Miller (CVPR Workshops, 2008)

A discriminative semi-Markov model for robust scene text recognition. - Jerod J. Weinman; Erik G. Learned-Miller; Allen R. Hanson (ICPR, 2008)

Learning to Locate Informative Features for Visual Identification. - Andras Ferencz; Erik G. Learned-Miller; Jitendra Malik (Int. J. Comput. Vis., 2008)

A Probabilistic Upper Bound on Differential Entropy. - Erik G. Learned-Miller; Joseph DeStefano (IEEE Trans. Inf. Theory, 2008)

Nonparametric curve alignment. - Marwan A. Mattar; Michael G. Ross; Erik G. Learned-Miller (ICASSP, 2009)

Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. - Andrew Kae; Erik G. Learned-Miller (ICDAR, 2009)

Bounding the Probability of Error for High Precision Recognition - Andrew Kae; Gary B. Huang; Erik G. Learned-Miller (CoRR, 2009)

Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation. - Jerod J. Weinman; Erik G. Learned-Miller; Allen R. Hanson (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Reverse engineering for mobile systems forensics with Ares. - John Tuttle; Robert J. Walls; Erik G. Learned-Miller; Brian Neil Levine (Insider Threats@CCS, 2010)

Learning class-specific image transformations with higher-order Boltzmann machines. - Gary B. Huang; Erik G. Learned-Miller (CVPR Workshops, 2010)

Improving state-of-the-art OCR through high-precision document-specific modeling. - Andrew Kae; Gary B. Huang; Carl Doersch; Erik G. Learned-Miller (CVPR, 2010)

Online domain adaptation of a pre-trained cascade of classifiers. - Vidit Jain; 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)

Exploiting Half-Wits: Smarter Storage for Low-Power Devices. - Mastooreh Salajegheh; Yue Wang; Kevin Fu; Anxiao Jiang; Erik G. Learned-Miller (FAST, 2011)

Forensic Triage for Mobile Phones with DEC0DE. - Robert J. Walls; Erik G. Learned-Miller; Brian Neil Levine (USENIX Security Symposium, 2011)

Learning on the fly: a font-free approach toward multilingual OCR. - Andrew Kae; David A. Smith; Erik G. Learned-Miller (Int. J. Document Anal. Recognit., 2011)

Introduction to the Special Section on Real-World Face Recognition. - Gang Hua 001; Ming-Hsuan Yang 001; Erik G. Learned-Miller; Yi Ma 001; Matthew Turk 001; David J. Kriegman; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Improvements in Joint Domain-Range Modeling for Background Subtraction. - Manjunath Narayana; Allen R. Hanson; Erik G. Learned-Miller (BMVC, 2012)

Learning hierarchical representations for face verification with convolutional deep belief networks. - Gary B. Huang; Honglak Lee; Erik G. Learned-Miller (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 to Align from Scratch. - Gary B. Huang; Marwan A. Mattar; Honglak Lee; Erik G. Learned-Miller (NIPS, 2012)

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

Bounding the Probability of Error for High Precision Optical Character Recognition. - Gary B. Huang; Andrew Kae; Carl Doersch; Erik G. Learned-Miller (J. Mach. Learn. Res., 2012)

Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment. - Benjamin Mears; Laura Sevilla-Lara; Erik G. Learned-Miller (BMVC, 2013)

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. - Andrew Kae; Kihyuk Sohn; Honglak Lee; Erik G. Learned-Miller (CVPR, 2013)

Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations. - Manjunath Narayana; Allen R. Hanson; Erik G. Learned-Miller (ICCV, 2013)

Improving Open-Vocabulary Scene Text Recognition. - Jacqueline L. Feild; Erik G. Learned-Miller (ICDAR, 2013)

Using a Probabilistic Syllable Model to Improve Scene Text Recognition. - Jacqueline L. Feild; Erik G. Learned-Miller; David A. Smith (ICDAR, 2013)

Scene Text Segmentation via Inverse Rendering. - Yahan Zhou; Jacqueline L. Feild; Erik G. Learned-Miller; Rui Wang 003 (ICDAR, 2013)

Turning Off GPS Is Not Enough: Cellular Location Leaks over the Internet. - Hamed Soroush; Keen Sung; Erik G. Learned-Miller; Brian Neil Levine; Marc Liberatore (Privacy Enhancing Technologies, 2013)

Half-Wits: Software Techniques for Low-Voltage Probabilistic Storage on Microcontrollers with NOR Flash Memory. - Mastooreh Salajegheh; Yue Wang; Anxiao Jiang; Erik G. Learned-Miller; Kevin Fu (ACM Trans. Embed. Comput. Syst., 2013)

The Shape-Time Random Field for Semantic Video Labeling. - Andrew Kae; Benjamin M. Marlin; Erik G. Learned-Miller (CVPR, 2014)

The Aspect Transition Graph: An Affordance-Based Model. - Li Yang Ku; Shiraj Sen; Erik G. Learned-Miller; Roderic A. Grupen (ECCV Workshops (2), 2014)

Optical Flow Estimation with Channel Constancy. - Laura Sevilla-Lara; Deqing Sun; Erik G. Learned-Miller; Michael J. Black (ECCV (1), 2014)

Background subtraction: separating the modeling and the inference. - Manjunath Narayana; Allen R. Hanson; Erik G. Learned-Miller (Mach. Vis. Appl., 2014)

Error detection and surprise in stochastic robot actions. - Li Yang Ku; Dirk Ruiken; Erik G. Learned-Miller; Roderic A. Grupen (Humanoids, 2015)

Multi-view Convolutional Neural Networks for 3D Shape Recognition. - Hang Su 005; Subhransu Maji; Evangelos Kalogerakis; Erik G. Learned-Miller (ICCV, 2015)

Modeling Objects as Aspect Transition Graphs to Support Manipulation. - Li Yang Ku; Erik G. Learned-Miller; Roderic A. Grupen (ISRR (2), 2015)

Face Identification with Bilinear CNNs. - Aruni RoyChowdhury; Tsung-Yu Lin; Subhransu Maji; Erik G. Learned-Miller (CoRR, 2015)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Masaki Aono; Baoquan Chen; Daniel Cohen-Or; Weihong Deng; Hang Su 005; Song Bai 001; Xiang Bai; Noa Fish; Jiajie Han; et al. (3DOR@Eurographics, 2016)

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

It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. - Pia Bideau; Erik G. Learned-Miller (ECCV (8), 2016)

One-to-many face recognition with bilinear CNNs. - Aruni Roy Chowdhury; Tsung-Yu Lin; Subhransu Maji; Erik G. Learned-Miller (WACV, 2016)

A Detailed Rubric for Motion Segmentation. - Pia Bideau; Erik G. Learned-Miller (CoRR, 2016)

Associating Grasping with Convolutional Neural Network Features. - Li Yang Ku; Erik G. Learned-Miller; Roderic A. Grupen (CoRR, 2016)

Face Detection with the Faster R-CNN. - Huaizu Jiang; Erik G. Learned-Miller (FG, 2017)

End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering. - Sou-Young Jin; Hang Su 005; Chris Stauffer; Erik G. Learned-Miller (ICCV, 2017)

An aspect representation for object manipulation based on convolutional neural networks. - Li Yang Ku; Erik G. Learned-Miller; Roderic A. Grupen (ICRA, 2017)

Associating grasp configurations with hierarchical features in convolutional neural networks. - Li Yang Ku; Erik G. Learned-Miller; Roderic A. Grupen (IROS, 2017)

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. - Haw-Shiuan Chang; Erik G. Learned-Miller; Andrew McCallum (NIPS, 2017)

Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples. - Haw-Shiuan Chang; Erik G. Learned-Miller; Andrew McCallum (CoRR, 2017)

Self-Supervised Depth Learning for Urban Scene Understanding. - Huaizu Jiang; Erik G. Learned-Miller; Gustav Larsson; Michael Maire; Greg Shakhnarovich (CoRR, 2017)

Guest Editorial: Best of CVPR 2015. - Kristen Grauman; Erik G. Learned-Miller; Antonio Torralba 001; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. - Hamed Zamani; Mostafa Dehghani 001; W. Bruce Croft; Erik G. Learned-Miller; Jaap Kamps (CIKM, 2018)

The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. - Pia Bideau; Aruni RoyChowdhury; Rakesh R. Menon; Erik G. Learned-Miller (CVPR, 2018)

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. - Huaizu Jiang; Deqing Sun; Varun Jampani; Ming-Hsuan Yang 001; Erik G. Learned-Miller; Jan Kautz (CVPR, 2018)

MoA-Net: Self-supervised Motion Segmentation. - Pia Bideau; Rakesh R. Menon; Erik G. Learned-Miller (ECCV Workshops (6), 2018)

Self-Supervised Relative Depth Learning for Urban Scene Understanding. - Huaizu Jiang; Gustav Larsson; Michael Maire; Greg Shakhnarovich; Erik G. Learned-Miller (ECCV (11), 2018)

Unsupervised Hard Example Mining from Videos for Improved Object Detection. - SouYoung Jin; Aruni RoyChowdhury; Huaizu Jiang; Ashish Singh; Aditya Prasad; Deep Chakraborty; Erik G. Learned-Miller (ECCV (13), 2018)

A Framework for Dexterous Manipulation. - Li Yang Ku; Jonathan Rogers; Philip Strawser; Julia Badger; Erik G. Learned-Miller; Rod Grupen (IROS, 2018)

Learning to Use a Ratchet by Modeling Spatial Relations in Demonstrations. - Li Yang Ku; Scott Michael Jordan; Julia Badger; Erik G. Learned-Miller; Rod Grupen (ISER, 2018)

Citation Worthiness of Sentences in Scientific Reports. - Hamed R. Bonab; Hamed Zamani; Erik G. Learned-Miller; James Allan (SIGIR, 2018)

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 (CVPR, 2019)

Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense. - Ashish Singh; Hang Su 005; SouYoung Jin; Huaizu Jiang; Chetan Manjesh; Geng Luo; Ziwei He; Li Hong; Erik G. Learned-Miller; Rosie Cowell (CVPR Workshops, 2019)

Pixel-Adaptive Convolutional Neural Networks. - Hang Su 005; Varun Jampani; Deqing Sun; Orazio Gallo; Erik G. Learned-Miller; Jan Kautz (CVPR, 2019)

SENSE: A Shared Encoder Network for Scene-Flow Estimation. - Huaizu Jiang; Deqing Sun; Varun Jampani; Zhaoyang Lv; Erik G. Learned-Miller; Jan Kautz (ICCV, 2019)

Concentration Inequalities for Conditional Value at Risk. - Philip S. Thomas; Erik G. Learned-Miller (ICML, 2019)

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. - Colin Samplawski; Heesung Kwon; Erik G. Learned-Miller; Benjamin M. Marlin (CoRR, 2019)

A New Confidence Interval for the Mean of a Bounded Random Variable. - Erik G. Learned-Miller; Philip S. Thomas (CoRR, 2019)

Server-Side Traffic Analysis Reveals Mobile Location Information over the Internet. - Keen Sung; Joydeep Biswas; Erik G. Learned-Miller; Brian Neil Levine; Marc Liberatore (IEEE Trans. Mob. Comput., 2019)

In Defense of Grid Features for Visual Question Answering. - Huaizu Jiang; Ishan Misra; Marcus Rohrbach; Erik G. Learned-Miller; Xinlei Chen (CVPR, 2020)

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

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. - Matheus Gadelha; Aruni RoyChowdhury; Gopal Sharma; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (ECCV (10), 2020)

Improving Face Recognition by Clustering Unlabeled Faces in the Wild. - Aruni RoyChowdhury; Xiang Yu 002; Kihyuk Sohn; Erik G. Learned-Miller; Manmohan Chandraker (ECCV (24), 2020)

C-14: assured timestamps for drone videos. - Zhipeng Tang; Fabien Delattre; Pia Bideau; Mark D. Corner; Erik G. Learned-Miller (MobiCom, 2020)

Cross-Supervised Object Detection. - Zitian Chen; Zhiqiang Shen; Jiahui Yu; Erik G. Learned-Miller (CoRR, 2020)

SID-NISM: A Self-supervised Low-light Image Enhancement Framework. - Lijun Zhang 005; Xiao Liu 030; Erik G. Learned-Miller; Hui Guan 001 (CoRR, 2020)

Shot in the Dark: Few-Shot Learning With No Base-Class Labels. - Zitian Chen; Subhransu Maji; Erik G. Learned-Miller (CVPR Workshops, 2021)

The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. - Cheng Gu; Erik G. Learned-Miller; Daniel Sheldon; Guillermo Gallego 002; Pia Bideau (ICCV, 2021)

Towards Practical Mean Bounds for Small Samples. - My Phan; Philip S. Thomas; Erik G. Learned-Miller (ICML, 2021)

Universal Off-Policy Evaluation. - Yash Chandak; Scott Niekum; Bruno C. da Silva 001; Erik G. Learned-Miller; Emma Brunskill; Philip S. Thomas (NeurIPS, 2021)

Passage Retrieval for Outside-Knowledge Visual Question Answering. - Chen Qu 001; Hamed Zamani; Liu Yang 005; W. Bruce Croft; Erik G. Learned-Miller (SIGIR, 2021)

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. - Gopal Sharma; Bidya Dash; Matheus Gadelha; Aruni RoyChowdhury; Marios Loizou; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (CoRR, 2021)

Image registration: Maximum likelihood, minimum entropy and deep learning. - Alireza Sedghi; Lauren J. O'Donnell; Tina Kapur; Erik G. Learned-Miller; Parvin Mousavi; William M. Wells III (Medical Image Anal., 2021)

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 (CVPR Workshops, 2022)

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. - Gopal Sharma; Bidya Dash; Aruni Roy Chowdhury; Matheus Gadelha; Marios Loizou; Liangliang Cao; Rui Wang 003; Erik G. Learned-Miller; Subhransu Maji; Evangelos Kalogerakis (Comput. Graph. Forum, 2022)

Inv-SENnet: Invariant Self Expression Network for clustering under biased data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (CoRR, 2022)

Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan 001 (CoRR, 2022)

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 001 (CVPR, 2023)

EVAL: Explainable Video Anomaly Localization. - Ashish Singh; Michael J. Jones 001; Erik G. Learned-Miller (CVPR, 2023)

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (ICASSP, 2023)

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. - Fabien Delattre; David Dirnfeld; Phat Nguyen; Stephen Scarano; Michael J. Jones 001; Pedro Miraldo; Erik G. Learned-Miller (ICCV, 2023)

Event Camera-Based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface. - Shifan Zhu; Zhipeng Tang; Michael Yang; Erik G. Learned-Miller; Donghyun Kim 002 (IROS, 2023)

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. - Ke Xiao; Erik G. Learned-Miller; Evangelos Kalogerakis; James Priest; Madalina Fiterau (MICCAI (7), 2023)

DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. - Huaizu Jiang; Erik G. Learned-Miller (WACV, 2023)

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. - Zitian Chen; Mingyu Ding; Yikang Shen; Wei Zhan; Masayoshi Tomizuka; Erik G. Learned-Miller; Chuang Gan 001 (CoRR, 2023)

Log-Concavity of Multinomial Likelihood Functions Under Interval Censoring Constraints on Frequencies or Their Partial Sums. - Bruce Levin; Erik G. Learned-Miller (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

Tracklet-based Explainable Video Anomaly Localization. - Ashish Singh; Michael J. Jones 001; Erik G. Learned-Miller (CVPR Workshops, 2024)

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)

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. - Deep Chakraborty; Yann LeCun; Tim G. J. Rudner; Erik G. Learned-Miller (AISTATS, 2025)

Improving Open-World Object Localization by Discovering Background. - Ashish Singh; Michael Jones 002; Kuan-Chuan Peng; Anoop Cherian; Moitreya Chatterjee; Erik G. Learned-Miller (CVPR Workshops, 2025)

E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera. - Zhipeng Tang; Shifan Zhu; Zezhou Cheng; Donghyun Kim 002; Erik G. Learned-Miller (CVPR Workshops, 2025)