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Passage Retrieval for Outside-Knowledge Visual Question Answering


May 09, 2021
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik Learned-Miller

* Accepted to SIGIR'21 as a short paper 

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Universal Off-Policy Evaluation


Apr 26, 2021
Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik Learned-Miller, Emma Brunskill, Philip S. Thomas


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DCVNet: Dilated Cost Volume Networks for Fast Optical Flow


Mar 31, 2021
Huaizu Jiang, Erik Learned-Miller


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SID-NISM: A Self-supervised Low-light Image Enhancement Framework


Dec 16, 2020
Lijun Zhang, Xiao Liu, Erik Learned-Miller, Hui Guan

* 11 pages, 9 figures 

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Shot in the Dark: Few-Shot Learning with No Base-Class Labels


Oct 06, 2020
Zitian Chen, Subhransu Maji, Erik Learned-Miller


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Improving Face Recognition by Clustering Unlabeled Faces in the Wild


Jul 15, 2020
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker

* ECCV 2020 

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Cross-Supervised Object Detection


Jun 29, 2020
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik Learned-Miller


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Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions


Mar 30, 2020
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji

* 18 pages, 5 figures 

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In Defense of Grid Features for Visual Question Answering


Jan 10, 2020
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik Learned-Miller, Xinlei Chen


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SENSE: a Shared Encoder Network for Scene-flow Estimation


Oct 27, 2019
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz

* International Conference on Computer Vision 2019 
* ICCV 2019 Oral 

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A New Confidence Interval for the Mean of a Bounded Random Variable


May 15, 2019
Erik Learned-Miller, Philip S. Thomas


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Automatic adaptation of object detectors to new domains using self-training


Apr 15, 2019
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller

* Accepted at CVPR 2019 

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Pixel-Adaptive Convolutional Neural Networks


Apr 10, 2019
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz

* CVPR 2019. Video introduction: https://youtu.be/gsQZbHuR64o 

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Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification


Feb 14, 2019
Colin Samplawski, Heesung Kwon, Erik Learned-Miller, Benjamin M. Marlin


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Nonparametric Curve Alignment


Feb 02, 2019
Marwan Mattar, Michael Ross, Erik Learned-Miller

* 4 pages, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009 

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Unsupervised Hard Example Mining from Videos for Improved Object Detection


Aug 13, 2018
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik Learned-Miller

* 14 pages, 7 figures, accepted at ECCV 2018 

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Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation


Jul 13, 2018
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz

* CVPR 2018 
* CVPR 2018 version with minor revisions and supplementary material included. Project page http://jianghz.me/projects/superslomo 

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Self-Supervised Relative Depth Learning for Urban Scene Understanding


Apr 02, 2018
Huaizu Jiang, Erik Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich


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Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples


Jan 06, 2018
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum

* camera-ready version for NIPS 2017 

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End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering


Sep 07, 2017
SouYoung Jin, Hang Su, Chris Stauffer, Erik Learned-Miller

* to appear in ICCV 2017 (spotlight) 

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Associating Grasp Configurations with Hierarchical Features in Convolutional Neural Networks


Jul 26, 2017
Li Yang Ku, Erik Learned-Miller, Rod Grupen

* 8 pages, 9 figures, IROS 2017 

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A Detailed Rubric for Motion Segmentation


Oct 31, 2016
Pia Bideau, Erik Learned-Miller


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Face Detection with the Faster R-CNN


Jun 10, 2016
Huaizu Jiang, Erik Learned-Miller

* technical report 

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It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos


Apr 01, 2016
Pia Bideau, Erik Learned-Miller


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One-to-many face recognition with bilinear CNNs


Mar 28, 2016
Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, Erik Learned-Miller

* Published version at WACV 2016 

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Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space


Nov 05, 2015
Manjunath Narayana, Allen Hanson, Erik Learned-Miller

* 8 pages, 4 figures, CVPR 2012 conference paper in CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 

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Background subtraction - separating the modeling and the inference


Nov 05, 2015
Manjunath Narayana, Allen Hanson, Erik Learned-Miller

* Machine Vision and Applications July 2014, Volume 25, Issue 5, pp 1163-1174 
* 19 pages, 6 figures, Machine Vision and Applications journal 

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Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations


Nov 05, 2015
Manjunath Narayana, Allen Hanson, Erik Learned-Miller

* 8 pages, 5 figures, in 2013 IEEE International Conference on Computer Vision (ICCV) 

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Multi-view Convolutional Neural Networks for 3D Shape Recognition


Sep 27, 2015
Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller

* v1: Initial version. v2: An updated ModelNet40 training/test split is used; results with low-rank Mahalanobis metric learning are added. v3 (ICCV 2015): A second camera setup without the upright orientation assumption is added; some accuracy and mAP numbers are changed slightly because a small issue in mesh rendering related to specularities is fixed 

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Bounding the Probability of Error for High Precision Recognition


Jul 02, 2009
Andrew Kae, Gary B. Huang, Erik Learned-Miller


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