Nathan Silberman
Nathan Silberman
Butterfly Network
Verified email at cs.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
European conference on computer vision, 746-760, 2012
30832012
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
9752017
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
arXiv preprint arXiv:1608.06019, 2016
7692016
Indoor scene segmentation using a structured light sensor
N Silberman, R Fergus
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
5132011
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
2832015
Efficient large-scale distributed training of conditional maximum entropy models
G Mann, R McDonald, M Mohri, N Silberman, D Walker IV
2812009
Instance segmentation of indoor scenes using a coverage loss
N Silberman, D Sontag, R Fergus
European Conference on Computer Vision, 616-631, 2014
902014
Case for Automated Detection of Diabetic Retinopathy.
N Silberman, K Ahrlich, R Fergus, L Subramanian
AAAI Spring Symposium: Artificial Intelligence for Development, 2010
712010
Contour completion for augmenting surface reconstructions
L Shapira, R Gal, E Ofek, P Kohli, N Silberman
US Patent 9,171,403, 2015
622015
The devil is in the decoder
Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ...
British Machine Vision Conference 2017, BMVC 2017, 1-13, 2017
572017
A contour completion model for augmenting surface reconstructions
N Silberman, L Shapira, R Gal, P Kohli
European Conference on Computer Vision, 488-503, 2014
562014
Learning from noisy labels by regularized estimation of annotator confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
302019
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 127 (11), 1694-1706, 2019
232019
Explaingan: Model explanation via decision boundary crossing transformations
P Samangouei, A Saeedi, L Nakagawa, N Silberman
Proceedings of the European Conference on Computer Vision (ECCV), 666-681, 2018
132018
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
62009
Methods and apparatuses for identifying gestures based on ultrasound data
JM Rothberg, TS Ralston, N Silberman
US Patent App. 16/229,765, 2019
52019
Automatically determining orientation and position of medically invasive devices via image processing
G Fine, N Silberman
US Patent 10,529,088, 2020
32020
Domain separation neural networks
K Bousmalis, N Silberman, D Krishnan, G Trigeorgis, D Erhan
US Patent App. 16/321,189, 2019
32019
Methods and apparatus for configuring an ultrasound device with imaging parameter values
B Gonyeau, K Thiele, N Silberman, C Meyer
US Patent App. 16/192,620, 2019
32019
TF-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow
N Silberman
Georgia Institute of Technology, 2017
32017
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