Erik G. Learned-Miller

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 85

Top Venues

Publications

Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. Int. J. Comput. Vis. 132 (1) (2024)
Huaizu Jiang, Erik G. Learned-Miller
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. WACV (2023)
Bruce Levin, Erik G. Learned-Miller
Log-Concavity of Multinomial Likelihood Functions Under Interval Censoring Constraints on Frequencies or Their Partial Sums. CoRR (2023)
Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. MICCAI (7) (2023)
Shifan Zhu, Zhipeng Tang, Michael Yang, Erik G. Learned-Miller, Donghyun Kim
Event Camera-Based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface. IROS (2023)
Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. ICCV (2023)
Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR (2023)
Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. CoRR (2023)
Shifan Zhu, Zhipeng Tang, Michael Yang, Erik G. Learned-Miller, Donghyun Kim
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface. CoRR (2023)
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, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR (2023)
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, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160 (2023)
Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. CoRR (2023)
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR (2023)
Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
EVAL: Explainable Video Anomaly Localization. CVPR (2023)
Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP (2023)
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CVPR Workshops (2022)
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CoRR (2022)
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR (2022)
Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
EVAL: Explainable Video Anomaly Localization. CoRR (2022)
Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR (2022)
Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41 (5) (2022)
Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR (2022)
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller
Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR (2021)
Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
Universal Off-Policy Evaluation. CoRR (2021)
My Phan, Philip Thomas, Erik G. Learned-Miller
Towards Practical Mean Bounds for Small Samples. ICML (2021)
Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR (2021)
Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. ICCV (2021)
Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III
Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. 69 (2021)
Huaizu Jiang, Erik G. Learned-Miller
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. CoRR (2021)
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller
Passage Retrieval for Outside-Knowledge Visual Question Answering. SIGIR (2021)
Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
Universal Off-Policy Evaluation. NeurIPS (2021)
Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. CoRR (2021)
Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
Shot in the Dark: Few-Shot Learning With No Base-Class Labels. CVPR Workshops (2021)
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR (2020)
Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops (2020)
Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
Shot in the Dark: Few-Shot Learning with No Base-Class Labels. CoRR (2020)
Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik G. Learned-Miller
C-14: assured timestamps for drone videos. MobiCom (2020)
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
In Defense of Grid Features for Visual Question Answering. CVPR (2020)
Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan
SID-NISM: A Self-supervised Low-light Image Enhancement Framework. CoRR (2020)
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik G. Learned-Miller
Cross-Supervised Object Detection. CoRR (2020)
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) (2020)
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) (2020)
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR (2020)
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
In Defense of Grid Features for Visual Question Answering. CoRR (2020)
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
Automatic adaptation of object detectors to new domains using self-training. CVPR Workshops (2019)
Erik G. Learned-Miller, Philip S. Thomas
A New Confidence Interval for the Mean of a Bounded Random Variable. CoRR (2019)
Philip S. Thomas, Erik G. Learned-Miller
Concentration Inequalities for Conditional Value at Risk. ICML (2019)
Keen Sung, Joydeep Biswas, Erik G. Learned-Miller, Brian Neil Levine, Marc Liberatore
Server-Side Traffic Analysis Reveals Mobile Location Information over the Internet. IEEE Trans. Mob. Comput. 18 (6) (2019)
Ashish Singh, Hang Su, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, Rosie Cowell
Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense. CVPR Workshops (2019)
Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller
Nonparametric Curve Alignment. CoRR (2019)
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz
SENSE: A Shared Encoder Network for Scene-Flow Estimation. ICCV (2019)
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
Automatic Adaptation of Object Detectors to New Domains Using Self-Training. CVPR (2019)
Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. CoRR (2019)
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz
SENSE: a Shared Encoder Network for Scene-flow Estimation. CoRR (2019)
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
Automatic adaptation of object detectors to new domains using self-training. CoRR (2019)
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz
Pixel-Adaptive Convolutional Neural Networks. CoRR (2019)
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz
Pixel-Adaptive Convolutional Neural Networks. CVPR (2019)
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
Unsupervised Hard Example Mining from Videos for Improved Object Detection. ECCV (13) (2018)
Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller
MoA-Net: Self-supervised Motion Segmentation. ECCV Workshops (6) (2018)
Li Yang Ku, Scott Jordan, Julia Badger, Erik G. Learned-Miller, Rod Grupen
Learning to Use a Ratchet by Modeling Spatial Relations in Demonstrations. ISER (2018)
Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. CVPR (2018)
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
Unsupervised Hard Example Mining from Videos for Improved Object Detection. CoRR (2018)
Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller
Self-Supervised Relative Depth Learning for Urban Scene Understanding. ECCV (11) (2018)
Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. CIKM (2018)
Li Yang Ku, Jonathan Rogers, Philip Strawser, Julia Badger, Erik G. Learned-Miller, Rod Grupen
A Framework for Dexterous Manipulation. IROS (2018)
Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan
Citation Worthiness of Sentences in Scientific Reports. SIGIR (2018)
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CVPR (2018)
Huaizu Jiang, Erik G. Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich
Self-Supervised Depth Learning for Urban Scene Understanding. CoRR (2017)
Kristen Grauman, Erik G. Learned-Miller, Antonio Torralba, Andrew Zisserman
Guest Editorial: Best of CVPR 2015. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
An aspect representation for object manipulation based on convolutional neural networks. ICRA (2017)
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CoRR (2017)
Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples. CoRR (2017)
Sou-Young Jin, Hang Su, Chris Stauffer, Erik G. Learned-Miller
End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering. CoRR (2017)
Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
Associating grasp configurations with hierarchical features in convolutional neural networks. IROS (2017)
Huaizu Jiang, Erik G. Learned-Miller
Face Detection with the Faster R-CNN. FG (2017)
Sou-Young Jin, Hang Su, Chris Stauffer, Erik G. Learned-Miller
End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering. ICCV (2017)
Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. NIPS (2017)
Pia Bideau, Erik G. Learned-Miller
A Detailed Rubric for Motion Segmentation. CoRR (2016)
Pia Bideau, Erik G. Learned-Miller
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. ECCV (8) (2016)
Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller
Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. CVPR Workshops (2016)
Huaizu Jiang, Erik G. Learned-Miller
Face Detection with the Faster R-CNN. CoRR (2016)
Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics (2016)
Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller
One-to-many face recognition with bilinear CNNs. WACV (2016)
Pia Bideau, Erik G. Learned-Miller
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. CoRR (2016)
Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
Associating Grasping with Convolutional Neural Network Features. CoRR (2016)
Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller
Multi-view Convolutional Neural Networks for 3D Shape Recognition. ICCV (2015)
Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
Modeling Objects as Aspect Transition Graphs to Support Manipulation. ISRR (2) (2015)
Li Yang Ku, Dirk Ruiken, Erik G. Learned-Miller, Roderic A. Grupen
Error detection and surprise in stochastic robot actions. Humanoids (2015)
Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
Background subtraction - separating the modeling and the inference. CoRR (2015)
Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space. CoRR (2015)
Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller
Face Identification with Bilinear CNNs. CoRR (2015)
Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations. CoRR (2015)
Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller
Multi-view Convolutional Neural Networks for 3D Shape Recognition. CoRR (2015)
Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black
Optical Flow Estimation with Channel Constancy. ECCV (1) (2014)
Li Yang Ku, Shiraj Sen, Erik G. Learned-Miller, Roderic A. Grupen
The Aspect Transition Graph: An Affordance-Based Model. ECCV Workshops (2) (2014)
Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
Background subtraction: separating the modeling and the inference. Mach. Vis. Appl. 25 (5) (2014)
Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller
The Shape-Time Random Field for Semantic Video Labeling. CVPR (2014)
Mastooreh Salajegheh, Yue Wang, Anxiao Jiang, Erik G. Learned-Miller, Kevin Fu
Half-Wits: Software Techniques for Low-Voltage Probabilistic Storage on Microcontrollers with NOR Flash Memory. ACM Trans. Embed. Comput. Syst. 12 (2s) (2013)
Jacqueline L. Feild, Erik G. Learned-Miller
Improving Open-Vocabulary Scene Text Recognition. ICDAR (2013)
Hamed Soroush, Keen Sung, Erik G. Learned-Miller, Brian Neil Levine, Marc Liberatore
Turning Off GPS Is Not Enough: Cellular Location Leaks over the Internet. Privacy Enhancing Technologies (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erik G. Learned-Miller