Erik G. Learned-Miller
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
21
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*CVPR30 papers
- A*ICCV9 papers
- A*ECCV8 papers
- AICDAR7 papers
- AWACV3 papers
- AIROS3 papers
- ABMVC3 papers
- MulticonferenceICASSP2 papers
- AMICCAI2 papers
- A*ICML2 papers
- A*SIGIR2 papers
- A*ICRA2 papers
- AAISTATS1 paper
- NationalRANLP1 paper
- A*MOBICOM1 paper
- ACIKM1 paper
- CISRR1 paper
- AUAI1 paper
- AFAST1 paper
- A*CCS1 paper
- BICPR1 paper
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Human Pose Aggregation for Multi-View Temporal Video Alignment. | Fabien Delattre, Tsung-Wei Huang, Guan-Ming Su, Erik G. Learned-Miller |
| 2025 | AISTATS | Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. | Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller |
| 2025 | CVPR | Improving Open-World Object Localization by Discovering Background. | Ashish Singh, Michael Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller |
| 2025 | CVPR | E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera. | Zhipeng Tang, Shifan Zhu, Zezhou Cheng, Donghyun Kim, Erik G. Learned-Miller |
| 2025 | RANLP | FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. | Ashish Singh, Ashutosh Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Soares Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik G. Learned-Miller, Franck Dernoncourt, Ryan A. Rossi |
| 2024 | CVPR | Tracklet-based Explainable Video Anomaly Localization. | Ashish Singh, Michael J. Jones, Erik G. Learned-Miller |
| 2023 | CVPR | 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 |
| 2023 | CVPR | EVAL: Explainable Video Anomaly Localization. | Ashish Singh, Michael J. Jones, Erik G. Learned-Miller |
| 2023 | ICASSP | 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 |
| 2023 | ICCV | Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. | Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller |
| 2023 | IROS | 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 |
| 2023 | MICCAI | Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. | Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau |
| 2023 | WACV | DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. | Huaizu Jiang, Erik G. Learned-Miller |
| 2022 | CVPR | 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 |
| 2021 | CVPR | Shot in the Dark: Few-Shot Learning With No Base-Class Labels. | Zitian Chen, Subhransu Maji, Erik G. Learned-Miller |
| 2021 | ICCV | 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, Pia Bideau |
| 2021 | ICML | Towards Practical Mean Bounds for Small Samples. | My Phan, Philip S. Thomas, Erik G. Learned-Miller |
| 2021 | SIGIR | Passage Retrieval for Outside-Knowledge Visual Question Answering. | Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller |
| 2020 | CVPR | In Defense of Grid Features for Visual Question Answering. | Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen |
| 2020 | CVPR | Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. | Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin |
| 2020 | ECCV | 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, Subhransu Maji |
| 2020 | ECCV | Improving Face Recognition by Clustering Unlabeled Faces in the Wild. | Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker |
| 2020 | MOBICOM | C-14: assured timestamps for drone videos. | Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik G. Learned-Miller |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2019 | CVPR | Pixel-Adaptive Convolutional Neural Networks. | Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz |
| 2019 | ICCV | SENSE: A Shared Encoder Network for Scene-Flow Estimation. | Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz |
| 2019 | ICML | Concentration Inequalities for Conditional Value at Risk. | Philip S. Thomas, Erik G. Learned-Miller |
| 2018 | CIKM | From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. | Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. | Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz |
| 2018 | ECCV | MoA-Net: Self-supervised Motion Segmentation. | Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller |
| 2018 | ECCV | Self-Supervised Relative Depth Learning for Urban Scene Understanding. | Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller |
| 2018 | ECCV | 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 |
| 2018 | IROS | A Framework for Dexterous Manipulation. | Li Yang Ku, Jonathan Rogers, Philip Strawser, Julia Badger, Erik G. Learned-Miller, Rod Grupen |
| 2018 | SIGIR | Citation Worthiness of Sentences in Scientific Reports. | Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan |
| 2017 | ICCV | End-to-End Face Detection and Cast Grouping in Movies Using Erds-Rnyi Clustering. | Sou-Young Jin, Hang Su, Chris Stauffer, Erik G. Learned-Miller |
| 2017 | ICRA | An aspect representation for object manipulation based on convolutional neural networks. | Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen |
| 2017 | IROS | Associating grasp configurations with hierarchical features in convolutional neural networks. | Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen |
| 2016 | CVPR | Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. | Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller |
| 2016 | ECCV | It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. | Pia Bideau, Erik G. Learned-Miller |
| 2016 | WACV | One-to-many face recognition with bilinear CNNs. | Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller |
| 2015 | ICCV | Multi-view Convolutional Neural Networks for 3D Shape Recognition. | Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller |
| 2015 | ISRR | Modeling Objects as Aspect Transition Graphs to Support Manipulation. | Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen |
| 2014 | CVPR | The Shape-Time Random Field for Semantic Video Labeling. | Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller |
| 2014 | ECCV | The Aspect Transition Graph: An Affordance-Based Model. | Li Yang Ku, Shiraj Sen, Erik G. Learned-Miller, Roderic A. Grupen |
| 2014 | ECCV | Optical Flow Estimation with Channel Constancy. | Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black |
| 2013 | BMVC | Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment. | Benjamin Mears, Laura Sevilla-Lara, Erik G. Learned-Miller |
| 2013 | CVPR | Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. | Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller |
| 2013 | ICCV | Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations. | Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller |
| 2013 | ICDAR | Improving Open-Vocabulary Scene Text Recognition. | Jacqueline L. Feild, Erik G. Learned-Miller |
| 2013 | ICDAR | Using a Probabilistic Syllable Model to Improve Scene Text Recognition. | Jacqueline L. Feild, Erik G. Learned-Miller, David A. Smith |
| 2013 | ICDAR | Scene Text Segmentation via Inverse Rendering. | Yahan Zhou, Jacqueline L. Feild, Erik G. Learned-Miller, Rui Wang |
| 2012 | BMVC | Improvements in Joint Domain-Range Modeling for Background Subtraction. | Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller |
| 2012 | CVPR | Learning hierarchical representations for face verification with convolutional deep belief networks. | Gary B. Huang, Honglak Lee, Erik G. Learned-Miller |
| 2012 | CVPR | Background modeling using adaptive pixelwise kernel variances in a hybrid feature space. | Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller |
| 2012 | CVPR | Distribution fields for tracking. | Laura Sevilla-Lara, Erik G. Learned-Miller |
| 2012 | UAI | Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. | Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller |
| 2011 | CVPR | Online domain adaptation of a pre-trained cascade of classifiers. | Vidit Jain, Erik G. Learned-Miller |
| 2011 | CVPR | Enforcing similarity constraints with integer programming for better scene text recognition. | David L. Smith, Jacqueline L. Feild, Erik G. Learned-Miller |
| 2011 | FAST | Exploiting Half-Wits: Smarter Storage for Low-Power Devices. | Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao Jiang, Erik G. Learned-Miller |
| 2010 | CCS | Reverse engineering for mobile systems forensics with Ares. | John Tuttle, Robert J. Walls, Erik G. Learned-Miller, Brian Neil Levine |
| 2010 | CVPR | Learning class-specific image transformations with higher-order Boltzmann machines. | Gary B. Huang, Erik G. Learned-Miller |
| 2010 | CVPR | Improving state-of-the-art OCR through high-precision document-specific modeling. | Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller |
| 2009 | ICASSP | Nonparametric curve alignment. | Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller |
| 2009 | ICDAR | Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. | Andrew Kae, Erik G. Learned-Miller |
| 2008 | CVPR | Towards unconstrained face recognition. | Gary B. Huang, Manjunath Narayana, Erik G. Learned-Miller |
| 2008 | ICPR | A discriminative semi-Markov model for robust scene text recognition. | Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson |
| 2007 | ICCV | Unsupervised Joint Alignment of Complex Images. | Gary B. Huang, Vidit Jain, Erik G. Learned-Miller |
| 2007 | ICCV | People-LDA: Anchoring Topics to People using Face Recognition. | Vidit Jain, Erik G. Learned-Miller, Andrew McCallum |
| 2007 | ICDAR | Cryptogram Decoding for OCR Using Numerization Strings. | Gary B. Huang, Erik G. Learned-Miller, Andrew McCallum |
| 2007 | ICDAR | Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation. | Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson |
| 2007 | ICDAR | Context-Sensitive Error Correction: Using Topic Models to Improve OCR. | Michael L. Wick, Michael G. Ross, Erik G. Learned-Miller |
| 2007 | ICRA | Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot. | David Walker Duhon, Jerod J. Weinman, Erik G. Learned-Miller |
| 2006 | BMVC | Discriminative Training of Hyper-feature Models for Object Identification. | Vidit Jain, Andras Ferencz, Erik G. Learned-Miller |
| 2006 | CVPR | Improving Recognition of Novel Input with Similarity. | Jerod J. Weinman, Erik G. Learned-Miller |
| 2006 | MICCAI | 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 |
| 2005 | CVPR | 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 |
| 2005 | CVPR | Sign Classification using Local and Meta-Features. | Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller |
| 2005 | ICCV | Building a Classification Cascade for Visual Identification from One Example. | Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik |
| 2004 | CVPR | 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 |