Nathan Silberman
Nathan Silberman
Butterfly Network
Verified email at - Homepage
Cited by
Cited by
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
European conference on computer vision, 746-760, 2012
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
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
Advances in neural information processing systems 29, 343-351, 2016
Indoor scene segmentation using a structured light sensor
N Silberman, R Fergus
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
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
Efficient large-scale distributed training of conditional maximum entropy models
G Mann, R McDonald, M Mohri, N Silberman, D Walker IV
Instance segmentation of indoor scenes using a coverage loss
N Silberman, D Sontag, R Fergus
European Conference on Computer Vision, 616-631, 2014
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
Case for automated detection of diabetic retinopathy
N Silberman, K Ahrlich, R Fergus, L Subramanian
2010 AAAI Spring Symposium Series, 2010
Contour completion for augmenting surface reconstructions
L Shapira, R Gal, E Ofek, P Kohli, N Silberman
US Patent 9,171,403, 2015
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
A contour completion model for augmenting surface reconstructions
N Silberman, L Shapira, R Gal, P Kohli
European Conference on Computer Vision, 488-503, 2014
TensorFlow-Slim image classification model library
N Silberman, S Guadarrama
URL https://github. com/tensorflow/models/tree/master/research/slim, 2016
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
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
Methods and apparatuses for identifying gestures based on ultrasound data
JM Rothberg, TS Ralston, N Silberman
US Patent 11,048,334, 2021
Automatically determining orientation and position of medically invasive devices via image processing
G Fine, N Silberman
US Patent 10,529,088, 2020
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
Transforming source domain images into target domain images
K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan
US Patent 10,991,074, 2021
Display panel or portion thereof with graphical user interface
D Elgena, M De Jonge, C Shin, N Silberman, A Howell
US Patent App. 29/702,060, 2021
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