Indoor segmentation and support inference from rgbd images N Silberman, D Hoiem, P Kohli, R Fergus Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 6248 | 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 | 1868 | 2017 |
Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan Advances in neural information processing systems 29, 2016 | 1669 | 2016 |
Indoor scene segmentation using a structured light sensor N Silberman, R Fergus 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 644 | 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 | 541 | 2015 |
Efficient large-scale distributed training of conditional maximum entropy models R Mcdonald, M Mohri, N Silberman, D Walker, G Mann Advances in neural information processing systems 22, 2009 | 356 | 2009 |
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 | 253 | 2019 |
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, 1694-1706, 2019 | 163 | 2019 |
Instance segmentation of indoor scenes using a coverage loss N Silberman, D Sontag, R Fergus Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 115 | 2014 |
Contour completion for augmenting surface reconstructions L Shapira, R Gal, E Ofek, P Kohli, N Silberman US Patent 9,171,403, 2015 | 111 | 2015 |
Case for automated detection of diabetic retinopathy N Silberman, K Ahrlich, R Fergus, L Subramanian 2010 AAAI spring symposium series, 2010 | 99 | 2010 |
TensorFlow-Slim image classification model library N Silberman, S Guadarrama Github repository, https://github. com/tensorflow/models/tree/master …, 2016 | 70 | 2016 |
A contour completion model for augmenting surface reconstructions N Silberman, L Shapira, R Gal, P Kohli Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 65 | 2014 |
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 | 53 | 2018 |
Automatically determining orientation and position of medically invasive devices via image processing G Fine, N Silberman US Patent 10,529,088, 2020 | 48 | 2020 |
Methods and apparatuses for identifying gestures based on ultrasound data JM Rothberg, TS Ralston, N Silberman US Patent 11,048,334, 2021 | 46 | 2021 |
Transforming source domain images into target domain images K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan US Patent 10,991,074, 2021 | 30 | 2021 |
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 | 26 | 2019 |
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 | 25 | 2021 |
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 | 18 | 2019 |