Learned-Miller, Erik

19 publications

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

NeurIPSW 2024 Squeezing Water from a Stone: Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization Deep Chakraborty, Tim G. J. Rudner, Erik Learned-Miller

WACV 2023 DCVNet: Dilated Cost Volume Networks for Fast Optical Flow Huaizu Jiang, Erik Learned-Miller

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

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

ICML 2021 Towards Practical Mean Bounds for Small Samples My Phan, Philip Thomas, Erik Learned-Miller

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

ECCV 2020 Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker

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

ICML 2019 Concentration Inequalities for Conditional Value at Risk Philip Thomas, Erik Learned-Miller

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

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

NeurIPS 2017 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum

ICCV 2017 End-to-End Face Detection and Cast Grouping in Movies Using Erdos-Renyi Clustering SouYoung Jin, Hang Su, Chris Stauffer, Erik Learned-Miller

ICCV 2015 Multi-View Convolutional Neural Networks for 3D Shape Recognition Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller

CVPR 2014 The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller

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

ICCV 2013 Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations Manjunath Narayana, Allen Hanson, Erik Learned-Miller

JMLR 2012 Bounding the Probability of Error for High Precision Optical Character Recognition Gary B. Huang, Andrew Kae, Carl Doersch, Erik Learned-Miller