Articles with public access mandates - Erik Learned-MillerLearn more
Available somewhere: 41
Face Detection with the Faster R-CNN
H Jiang, E Learned-Miller
Automatic Face and Gesture Recognition, 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Super slomo: High quality estimation of multiple intermediate frames for video interpolation
H Jiang, D Sun, V Jampani, MH Yang, E Learned-Miller, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandates: US National Science Foundation
Labeled faces in the wild: A survey
E Learned-Miller, GB Huang, A RoyChowdhury, H Li, G Hua
Advances in face detection and facial image analysis, 189-248, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Active bias: Training more accurate neural networks by emphasizing high variance samples
HS Chang, E Learned-Miller, A McCallum
Advances in Neural Information Processing Systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
In defense of grid features for visual question answering
H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US Department of Defense
Scene text recognition using similarity and a lexicon with sparse belief propagation
JJ Weinman, E Learned-Miller, AR Hanson
IEEE Transactions on pattern analysis and machine intelligence 31 (10), 1733 …, 2009
Mandates: US National Institutes of Health
From neural re-ranking to neural ranking: Learning a sparse representation for inverted indexing
H Zamani, M Dehghani, WB Croft, E Learned-Miller, J Kamps
Proceedings of the 27th ACM international conference on information and …, 2018
Mandates: US National Science Foundation, Netherlands Organisation for Scientific Research
Automatic adaptation of object detectors to new domains using self-training
A RoyChowdhury, P Chakrabarty, A Singh, SY Jin, H Jiang, L Cao, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US Department of Defense
Self-supervised relative depth learning for urban scene understanding
H Jiang, G Larsson, M Maire, G Shakhnarovich, E Learned-Miller
Computer Vision—ECCV 2018, 20-37, 2018
Mandates: US Department of Defense
Unsupervised hard example mining from videos for improved object detection
SY Jin, A RoyChowdhury, H Jiang, A Singh, A Prasad, D Chakraborty, ...
Proceedings of the European Conference on Computer Vision (ECCV), 307-324, 2018
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Sense: A shared encoder network for scene-flow estimation
H Jiang, D Sun, V Jampani, Z Lv, E Learned-Miller, J Kautz
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandates: US Department of Defense
Enforcing similarity constraints with integer programming for better scene text recognition
DL Smith, J Field, E Learned-Miller
CVPR 2011, 73-80, 2011
Mandates: US National Institutes of Health
Mod-squad: Designing mixtures of experts as modular multi-task learners
Z Chen, Y Shen, M Ding, Z Chen, H Zhao, EG Learned-Miller, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US Department of Defense
End-to-end face detection and cast grouping in movies using erdos-renyi clustering
SY Jin, H Su, C Stauffer, E Learned-Miller
Proceedings of the IEEE International Conference on Computer Vision, 5276-5285, 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Universal off-policy evaluation
Y Chandak, S Niekum, B da Silva, E Learned-Miller, E Brunskill, ...
Advances in Neural Information Processing Systems 34, 27475-27490, 2021
Mandates: US National Science Foundation, US Department of Defense
Label-efficient learning on point clouds using approximate convex decompositions
M Gadelha, A RoyChowdhury, G Sharma, E Kalogerakis, L Cao, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mandates: US National Science Foundation
Facial recognition technologies in the wild: A call for a federal office
E Learned-Miller, V Ordóñez, J Morgenstern, J Buolamwini
Mandates: John D. and Catherine T. MacArthur Foundation
A discriminative semi-Markov model for robust scene text recognition
JJ Weinman, E Learned-Miller, A Hanson
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, 1-5, 2008
Mandates: US National Institutes of Health
Image registration: Maximum likelihood, minimum entropy and deep learning
A Sedghi, LJ O’Donnell, T Kapur, E Learned-Miller, P Mousavi, ...
Medical image analysis 69, 101939, 2021
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
The spatio-temporal poisson point process: A simple model for the alignment of event camera data
C Gu, E Learned-Miller, D Sheldon, G Gallego, P Bideau
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandates: German Research Foundation
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