Articles with public access mandates - George PapandreouLearn more
Available somewhere: 8
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848, 2018
Mandates: US Department of Defense, European Commission
Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G Papandreou, LC Chen, KP Murphy, AL Yuille
Proceedings of the IEEE international conference on computer vision, 1742-1750, 2015
Mandates: US National Institutes of Health
Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform
LC Chen, JT Barron, G Papandreou, K Murphy, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Mandates: US National Institutes of Health
Perturbations, optimization, and statistics
T Hazan, G Papandreou, D Tarlow
MIT Press, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Modeling image patches with a generic dictionary of mini-epitomes
G Papandreou, LC Chen, AL Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Mandates: US National Institutes of Health
Learning a dictionary of shape epitomes with applications to image labeling
LC Chen, G Papandreou, AL Yuille
Proceedings of the IEEE International Conference on Computer Vision, 337-344, 2013
Mandates: US National Institutes of Health
BLSM: A bone-level skinned model of the human mesh
H Wang, RA Güler, I Kokkinos, G Papandreou, S Zafeiriou
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mandates: UK Engineering and Physical Sciences Research Council
Understanding neural representations in early visual areas using convolutional neural networks
Y Zhang, C Massot, T Zhi, G Papandreou, A Yuille, TS Lee
Neuroscience (SfN) 1, 2016
Mandates: US National Institutes of Health
Publication and funding information is determined automatically by a computer program