Erik G. Learned-Miller

162 papers A* 33A 20B 2Misc 3Journal 67Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FLIGHT: Fibonacci Lattice-based Inference for Geometric Heading in real-Time. CoRR David Dirnfeld, Fabien Delattre, Pedro Miraldo, Erik G. Learned-Miller
2026	J	`jnl`	Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization. CoRR Yilun Kuang, Yash Dagade, Deep Chakraborty, Erik G. Learned-Miller, Randall Balestriero, Tim G. J. Rudner, Yann LeCun
2026	J	`jnl`	Toward Unified Expertise: Learning a Single Vision Model From Diverse Perception. IEEE Trans. Pattern Anal. Mach. Intell. Zitian Chen, Mingyu Ding, Yikang Shen, Erik G. Learned-Miller, Chuang Gan
2025	—	`conf`	E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera. CVPR Workshops Zhipeng Tang, Shifan Zhu, Zezhou Cheng, Donghyun Kim, Erik G. Learned-Miller
2025	Misc	`conf`	FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. RANLP 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
2025	—	`conf`	Improving Open-World Object Localization by Discovering Background. CVPR Workshops Ashish Singh, Michael Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller
2025	J	`jnl`	Improving Open-World Object Localization by Discovering Background. CoRR Ashish Singh, Michael J. Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller
2025	A	`conf`	Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. AISTATS Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller
2024	J	`jnl`	Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization. CoRR Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller
2024	J	`jnl`	The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. Int. J. Comput. Vis. Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari
2024	—	`conf`	Tracklet-based Explainable Video Anomaly Localization. CVPR Workshops Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR 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 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
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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 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
2023	J	`jnl`	An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan
2023	A	`conf`	DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. WACV Huaizu Jiang, Erik G. Learned-Miller
2023	A*	`conf`	EVAL: Explainable Video Anomaly Localization. CVPR Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2023	A	`conf`	Event Camera-Based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface. IROS Shifan Zhu, Zhipeng Tang, Michael Yang, Erik G. Learned-Miller, Donghyun Kim
2023	J	`jnl`	Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface. CoRR Shifan Zhu, Zhipeng Tang, Michael Yang, Erik G. Learned-Miller, Donghyun Kim
2023	Misc	`conf`	Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2023	J	`jnl`	Log-Concavity of Multinomial Likelihood Functions Under Interval Censoring Constraints on Frequencies or Their Partial Sums. CoRR Bruce Levin, Erik G. Learned-Miller
2023	—	`conf`	Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. MICCAI (7) Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
2023	J	`jnl`	Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. CoRR Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
2023	A*	`conf`	Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
2023	A*	`conf`	Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. ICCV Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
2023	J	`jnl`	Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. CoRR Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
2022	J	`jnl`	EVAL: Explainable Video Anomaly Localization. CoRR Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2022	J	`jnl`	Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2022	J	`jnl`	Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
2022	J	`jnl`	PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis
2022	—	`conf`	Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CVPR Workshops Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
2022	J	`jnl`	Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CoRR Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
2022	J	`jnl`	The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari
2021	J	`jnl`	DCVNet: Dilated Cost Volume Networks for Fast Optical Flow. CoRR Huaizu Jiang, Erik G. Learned-Miller
2021	J	`jnl`	Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III
2021	A*	`conf`	Passage Retrieval for Outside-Knowledge Visual Question Answering. SIGIR Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller
2021	J	`jnl`	Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller
2021	—	`conf`	Shot in the Dark: Few-Shot Learning With No Base-Class Labels. CVPR Workshops Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
2021	J	`jnl`	SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2021	A*	`conf`	The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. ICCV Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau
2021	J	`jnl`	The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. CoRR Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau
2021	A*	`conf`	Towards Practical Mean Bounds for Small Samples. ICML My Phan, Philip S. Thomas, Erik G. Learned-Miller
2021	A*	`conf`	Universal Off-Policy Evaluation. NeurIPS Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
2021	J	`jnl`	Universal Off-Policy Evaluation. CoRR Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
2020	A*	`conf`	C-14: assured timestamps for drone videos. MobiCom Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik G. Learned-Miller
2020	J	`jnl`	Cross-Supervised Object Detection. CoRR Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik G. Learned-Miller
2020	—	`conf`	Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
2020	J	`jnl`	Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker
2020	A*	`conf`	In Defense of Grid Features for Visual Question Answering. CVPR Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
2020	J	`jnl`	In Defense of Grid Features for Visual Question Answering. CoRR Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
2020	—	`conf`	Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2020	J	`jnl`	Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2020	J	`jnl`	SID-NISM: A Self-supervised Low-light Image Enhancement Framework. CoRR Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan
2020	J	`jnl`	Shot in the Dark: Few-Shot Learning with No Base-Class Labels. CoRR Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
2020	—	`conf`	Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
2019	J	`jnl`	A New Confidence Interval for the Mean of a Bounded Random Variable. CoRR Erik G. Learned-Miller, Philip S. Thomas
2019	A*	`conf`	Automatic Adaptation of Object Detectors to New Domains Using Self-Training. CVPR Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
2019	—	`conf`	Automatic adaptation of object detectors to new domains using self-training. CVPR Workshops Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
2019	J	`jnl`	Automatic adaptation of object detectors to new domains using self-training. CoRR Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller
2019	A*	`conf`	Concentration Inequalities for Conditional Value at Risk. ICML Philip S. Thomas, Erik G. Learned-Miller
2019	—	`conf`	Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense. CVPR Workshops Ashish Singh, Hang Su, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, Rosie Cowell
2019	J	`jnl`	Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. CoRR Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin
2019	J	`jnl`	Nonparametric Curve Alignment. CoRR Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller
2019	A*	`conf`	Pixel-Adaptive Convolutional Neural Networks. CVPR Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz
2019	J	`jnl`	Pixel-Adaptive Convolutional Neural Networks. CoRR Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz
2019	A*	`conf`	SENSE: A Shared Encoder Network for Scene-Flow Estimation. ICCV Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz
2019	J	`jnl`	SENSE: a Shared Encoder Network for Scene-flow Estimation. CoRR Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz
2019	J	`jnl`	Server-Side Traffic Analysis Reveals Mobile Location Information over the Internet. IEEE Trans. Mob. Comput. Keen Sung, Joydeep Biswas, Erik G. Learned-Miller, Brian Neil Levine, Marc Liberatore
2018	A	`conf`	A Framework for Dexterous Manipulation. IROS Li Yang Ku, Jonathan Rogers, Philip Strawser, Julia Badger, Erik G. Learned-Miller, Rod Grupen
2018	A*	`conf`	Citation Worthiness of Sentences in Scientific Reports. SIGIR Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan
2018	A	`conf`	From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. CIKM Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps
2018	—	`conf`	Learning to Use a Ratchet by Modeling Spatial Relations in Demonstrations. ISER Li Yang Ku, Scott Michael Jordan, Julia Badger, Erik G. Learned-Miller, Rod Grupen
2018	—	`conf`	MoA-Net: Self-supervised Motion Segmentation. ECCV Workshops (6) Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller
2018	—	`conf`	Self-Supervised Relative Depth Learning for Urban Scene Understanding. ECCV (11) Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller
2018	A*	`conf`	Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CVPR Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz
2018	A*	`conf`	The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. CVPR Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller
2018	—	`conf`	Unsupervised Hard Example Mining from Videos for Improved Object Detection. ECCV (13) SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
2018	J	`jnl`	Unsupervised Hard Example Mining from Videos for Improved Object Detection. CoRR SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
2017	—	`conf`	Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. NIPS Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
2017	J	`jnl`	Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples. CoRR Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
2017	A*	`conf`	An aspect representation for object manipulation based on convolutional neural networks. ICRA Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
2017	A	`conf`	Associating grasp configurations with hierarchical features in convolutional neural networks. IROS Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
2017	A*	`conf`	End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering. ICCV Sou-Young Jin, Hang Su, Chris Stauffer, Erik G. Learned-Miller
2017	J	`jnl`	End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering. CoRR Sou-Young Jin, Hang Su, Chris Stauffer, Erik G. Learned-Miller
2017	B	`conf`	Face Detection with the Faster R-CNN. FG Huaizu Jiang, Erik G. Learned-Miller
2017	J	`jnl`	Guest Editorial: Best of CVPR 2015. IEEE Trans. Pattern Anal. Mach. Intell. Kristen Grauman, Erik G. Learned-Miller, Antonio Torralba, Andrew Zisserman
2017	J	`jnl`	Self-Supervised Depth Learning for Urban Scene Understanding. CoRR Huaizu Jiang, Erik G. Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich
2017	J	`jnl`	Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CoRR Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz
2016	J	`jnl`	A Detailed Rubric for Motion Segmentation. CoRR Pia Bideau, Erik G. Learned-Miller
2016	J	`jnl`	Associating Grasping with Convolutional Neural Network Features. CoRR Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
2016	—	`conf`	Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. CVPR Workshops Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller
2016	J	`jnl`	Face Detection with the Faster R-CNN. CoRR Huaizu Jiang, Erik G. Learned-Miller
2016	—	`conf`	It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. ECCV (8) Pia Bideau, Erik G. Learned-Miller
2016	J	`jnl`	It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. CoRR Pia Bideau, Erik G. Learned-Miller
2016	—	`conf`	Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 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
2016	A	`conf`	One-to-many face recognition with bilinear CNNs. WACV Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller
2015	J	`jnl`	Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space. CoRR Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2015	J	`jnl`	Background subtraction - separating the modeling and the inference. CoRR Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2015	J	`jnl`	Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations. CoRR Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2015	—	`conf`	Error detection and surprise in stochastic robot actions. Humanoids Li Yang Ku, Dirk Ruiken, Erik G. Learned-Miller, Roderic A. Grupen
2015	J	`jnl`	Face Identification with Bilinear CNNs. CoRR Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller
2015	—	`conf`	Modeling Objects as Aspect Transition Graphs to Support Manipulation. ISRR (2) Li Yang Ku, Erik G. Learned-Miller, Roderic A. Grupen
2015	A*	`conf`	Multi-view Convolutional Neural Networks for 3D Shape Recognition. ICCV Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller
2015	J	`jnl`	Multi-view Convolutional Neural Networks for 3D Shape Recognition. CoRR Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller
2014	J	`jnl`	Background subtraction: separating the modeling and the inference. Mach. Vis. Appl. Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2014	—	`conf`	Optical Flow Estimation with Channel Constancy. ECCV (1) Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black
2014	—	`conf`	The Aspect Transition Graph: An Affordance-Based Model. ECCV Workshops (2) Li Yang Ku, Shiraj Sen, Erik G. Learned-Miller, Roderic A. Grupen
2014	A*	`conf`	The Shape-Time Random Field for Semantic Video Labeling. CVPR Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller
2013	A*	`conf`	Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. CVPR Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller
2013	A*	`conf`	Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations. ICCV Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2013	A	`conf`	Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment. BMVC Benjamin Mears, Laura Sevilla-Lara, Erik G. Learned-Miller
2013	J	`jnl`	Half-Wits: Software Techniques for Low-Voltage Probabilistic Storage on Microcontrollers with NOR Flash Memory. ACM Trans. Embed. Comput. Syst. Mastooreh Salajegheh, Yue Wang, Anxiao Jiang, Erik G. Learned-Miller, Kevin Fu
2013	A	`conf`	Improving Open-Vocabulary Scene Text Recognition. ICDAR Jacqueline L. Feild, Erik G. Learned-Miller
2013	A	`conf`	Scene Text Segmentation via Inverse Rendering. ICDAR Yahan Zhou, Jacqueline L. Feild, Erik G. Learned-Miller, Rui Wang
2013	A	`conf`	Turning Off GPS Is Not Enough: Cellular Location Leaks over the Internet. Privacy Enhancing Technologies Hamed Soroush, Keen Sung, Erik G. Learned-Miller, Brian Neil Levine, Marc Liberatore
2013	A	`conf`	Using a Probabilistic Syllable Model to Improve Scene Text Recognition. ICDAR Jacqueline L. Feild, Erik G. Learned-Miller, David A. Smith
2012	A*	`conf`	Background modeling using adaptive pixelwise kernel variances in a hybrid feature space. CVPR Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2012	J	`jnl`	Bounding the Probability of Error for High Precision Optical Character Recognition. J. Mach. Learn. Res. Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller
2012	A*	`conf`	Distribution fields for tracking. CVPR Laura Sevilla-Lara, Erik G. Learned-Miller
2012	A	`conf`	Improvements in Joint Domain-Range Modeling for Background Subtraction. BMVC Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller
2012	A*	`conf`	Learning hierarchical representations for face verification with convolutional deep belief networks. CVPR Gary B. Huang, Honglak Lee, Erik G. Learned-Miller
2012	—	`conf`	Learning to Align from Scratch. NIPS Gary B. Huang, Marwan A. Mattar, Honglak Lee, Erik G. Learned-Miller
2012	J	`jnl`	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics CoRR Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller
2012	A	`conf`	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. UAI Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller
2011	A*	`conf`	Enforcing similarity constraints with integer programming for better scene text recognition. CVPR David L. Smith, Jacqueline L. Feild, Erik G. Learned-Miller
2011	A	`conf`	Exploiting Half-Wits: Smarter Storage for Low-Power Devices. FAST Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao Jiang, Erik G. Learned-Miller
2011	A*	`conf`	Forensic Triage for Mobile Phones with DEC0DE. USENIX Security Symposium Robert J. Walls, Erik G. Learned-Miller, Brian Neil Levine
2011	J	`jnl`	Introduction to the Special Section on Real-World Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew Turk, David J. Kriegman, Thomas S. Huang
2011	J	`jnl`	Learning on the fly: a font-free approach toward multilingual OCR. Int. J. Document Anal. Recognit. Andrew Kae, David A. Smith, Erik G. Learned-Miller
2011	A*	`conf`	Online domain adaptation of a pre-trained cascade of classifiers. CVPR Vidit Jain, Erik G. Learned-Miller
2010	A*	`conf`	Improving state-of-the-art OCR through high-precision document-specific modeling. CVPR Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller
2010	—	`conf`	Learning class-specific image transformations with higher-order Boltzmann machines. CVPR Workshops Gary B. Huang, Erik G. Learned-Miller
2010	—	`conf`	Reverse engineering for mobile systems forensics with Ares. Insider Threats@CCS John Tuttle, Robert J. Walls, Erik G. Learned-Miller, Brian Neil Levine
2009	J	`jnl`	Bounding the Probability of Error for High Precision Recognition CoRR Andrew Kae, Gary B. Huang, Erik G. Learned-Miller
2009	A	`conf`	Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. ICDAR Andrew Kae, Erik G. Learned-Miller
2009	Misc	`conf`	Nonparametric curve alignment. ICASSP Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller
2009	J	`jnl`	Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation. IEEE Trans. Pattern Anal. Mach. Intell. Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson
2008	J	`jnl`	A Probabilistic Upper Bound on Differential Entropy. IEEE Trans. Inf. Theory Erik G. Learned-Miller, Joseph DeStefano
2008	B	`conf`	A discriminative semi-Markov model for robust scene text recognition. ICPR Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson
2008	J	`jnl`	Learning to Locate Informative Features for Visual Identification. Int. J. Comput. Vis. Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
2008	—	`conf`	Towards unconstrained face recognition. CVPR Workshops Gary B. Huang, Manjunath Narayana, Erik G. Learned-Miller
2007	J	`jnl`	Analyzing BMC Bioinform. Manjunatha Jagalur, Chris Pal, Erik G. Learned-Miller, R. Thomas Zoeller, David Kulp
2007	A	`conf`	Context-Sensitive Error Correction: Using Topic Models to Improve OCR. ICDAR Michael L. Wick, Michael G. Ross, Erik G. Learned-Miller
2007	A	`conf`	Cryptogram Decoding for OCR Using Numerization Strings. ICDAR Gary B. Huang, Erik G. Learned-Miller, Andrew McCallum
2007	A	`conf`	Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation. ICDAR Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson
2007	A*	`conf`	People-LDA: Anchoring Topics to People using Face Recognition. ICCV Vidit Jain, Erik G. Learned-Miller, Andrew McCallum
2007	A*	`conf`	Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot. ICRA David Walker Duhon, Jerod J. Weinman, Erik G. Learned-Miller
2007	A*	`conf`	Unsupervised Joint Alignment of Complex Images. ICCV Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
2006	—	`conf`	Combinatorial Markov Random Fields. ECML Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller
2006	J	`jnl`	Data Driven Image Models through Continuous Joint Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Erik G. Learned-Miller
2006	—	`conf`	Detecting Acromegaly: Screening for Disease with a Morphable Model. MICCAI (2) Erik G. Learned-Miller, Qifeng Lu, Angela Paisley, Peter Trainer, Volker Blanz, Katrin Dedden, Ralph Miller
2006	A	`conf`	Discriminative Training of Hyper-feature Models for Object Identification. BMVC Vidit Jain, Andras Ferencz, Erik G. Learned-Miller
2006	—	`conf`	Improving Recognition of Novel Input with Similarity. CVPR (1) Jerod J. Weinman, Erik G. Learned-Miller
2005	J	`jnl`	A Probabilistic Upper Bound on Differential Entropy CoRR Joseph DeStefano, Erik G. Learned-Miller
2005	A*	`conf`	Building a Classification Cascade for Visual Identification from One Example. ICCV Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
2005	—	`conf`	Combining Local and Global Image Features for Object Class Recognition. CVPR Workshops Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Erik G. Learned-Miller, Mark C. Benfield
2005	—	`conf`	Efficient Population Registration of 3D Data. CVBIA Lilla Zöllei, Erik G. Learned-Miller, W. Eric L. Grimson, William M. Wells III
2005	—	`conf`	Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood. IPMI Erik G. Learned-Miller, Vidit Jain
2005	—	`conf`	Sign Classification using Local and Meta-Features. CVPR Workshops Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller
2004	—	`conf`	Joint MRI Bias Removal Using Entropy Minimization Across Images. NIPS Erik G. Learned-Miller, Parvez Ahammad
2004	—	`conf`	Learning Hyper-Features for Visual Identification. NIPS Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
2004	—	`conf`	Names and Faces in the News. CVPR (2) Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth
2003	J	`jnl`	ICA Using Spacings Estimates of Entropy. J. Mach. Learn. Res. Erik G. Learned-Miller, John W. Fisher III