Nathan Silberman
Nathan Silberman
Butterfly Network
Verified email at cs.nyu.edu - Homepage
TitleCited byYear
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
European Conference on Computer Vision, 746-760, 2012
20782012
Unsupervised pixel-level domain adaptation with generative adversarial networks
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5102017
Indoor scene segmentation using a structured light sensor
N Silberman, R Fergus
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
4372011
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
Advances in neural information processing systems, 343-351, 2016
4152016
Efficient large-scale distributed training of conditional maximum entropy models
R Mcdonald, M Mohri, N Silberman, D Walker, GS Mann
Advances in Neural Information Processing Systems, 1231-1239, 2009
2352009
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
Instance segmentation of indoor scenes using a coverage loss
N Silberman, D Sontag, R Fergus
European Conference on Computer Vision, 616-631, 2014
662014
Case for automated detection of diabetic retinopathy
N Silberman, K Ahrlich, R Fergus, L Subramanian
2010 AAAI Spring Symposium Series, 2010
532010
Contour completion for augmenting surface reconstructions
L Shapira, R Gal, E Ofek, P Kohli, N Silberman
US Patent 9,171,403, 2015
502015
A contour completion model for augmenting surface reconstructions
N Silberman, L Shapira, R Gal, P Kohli
European Conference on Computer Vision, 488-503, 2014
422014
The devil is in the decoder
Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ...
arXiv preprint arXiv:1707.05847, 2017
362017
The Devil is in the Decoder: Classification, Regression and GANs
Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ...
International Journal of Computer Vision, 1-13, 2019
52019
On the rise and fall of ISPs
A Sharma, N Silberman, L Subramanian, N Economides
Proceedings of Netecon 09: Workshop on the Economics of Networks, Systems …, 2009
52009
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
arXiv preprint arXiv:1902.03680, 2019
42019
Contour completion for augmenting surface reconstructions
L Shapira, R Gal, E Ofek, P Kohli, N Silberman
US Patent App. 14/867,915, 2016
22016
TF-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow
N Silberman
Georgia Institute of Technology, 2017
12017
Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps
D Eigen
New York University, 2015
12015
Methods and apparatus for configuring an ultrasound system with imaging parameter values
N Silberman, A Rothberg, I Malkin, K Thiele, TS Ralston, C Meyer
US Patent App. 16/379,498, 2019
2019
Transforming source domain images into target domain images
K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan
US Patent App. 16/442,365, 2019
2019
Methods and apparatuses for generating and displaying ultrasound images using an explaining model
N Silberman, P Samangouei
US Patent App. 16/352,424, 2019
2019
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