George Papandreou
George Papandreou
Co-founder and CTO, Ariel AI
Verified email at arielai.com - Homepage
TitleCited byYear
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
35532018
Semantic image segmentation with deep convolutional nets and fully connected crfs
LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
arXiv preprint arXiv:1412.7062, 2014
20582014
Encoder-decoder with atrous separable convolution for semantic image segmentation
LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam
Proceedings of the European conference on computer vision (ECCV), 801-818, 2018
9112018
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
8982017
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
5782015
Towards accurate multi-person pose estimation in the wild
G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2092017
Im2Calories: towards an automated mobile vision food diary
A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ...
Proceedings of the IEEE International Conference on Computer Vision, 1233-1241, 2015
2022015
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
1732016
Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models
G Papandreou, AL Yuille
Proc. ICCV, 2011
1262011
Multigrid geometric active contour models
G Papandreou, P Maragos
IEEE transactions on image processing 16 (1), 229-240, 2006
1122006
Modeling local and global deformations in deep learning: Epitomic convolution, multiple instance learning, and sliding window detection
G Papandreou, I Kokkinos, PA Savalle
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
972015
Adaptive and constrained algorithms for inverse compositional active appearance model fitting
G Papandreou, P Maragos
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
892008
Adaptive multimodal fusion by uncertainty compensation with application to audiovisual speech recognition
G Papandreou, A Katsamanis, V Pitsikalis, P Maragos
IEEE Transactions on Audio, Speech, and Language Processing 17 (3), 423-435, 2009
882009
Bayesian inference on multiscale models for Poisson intensity estimation: Applications to photon-limited image denoising
S Lefkimmiatis, P Maragos, G Papandreou
Image Processing, IEEE Transactions on 18 (8), 1724-1741, 2009
832009
11 adversarial perturbations of deep neural networks
D Warde-Farley, I Goodfellow
Perturbations, Optimization, and Statistics 311, 2016
782016
Masklab: Instance segmentation by refining object detection with semantic and direction features
LC Chen, A Hermans, G Papandreou, F Schroff, P Wang, H Adam
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
742018
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
Advances in Neural Information Processing Systems, 8699-8710, 2018
712018
Gaussian sampling by local perturbations
G Papandreou, AL Yuille
Advances in Neural Information Processing Systems, 1858-1866, 2010
642010
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy
Proceedings of the European Conference on Computer Vision (ECCV), 269-286, 2018
492018
Deformable part models with cnn features
PA Savalle, S Tsogkas, G Papandreou, I Kokkinos
472014
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Articles 1–20