| Indoor segmentation and support inference from rgbd images N Silberman, D Hoiem, P Kohli, R Fergus European conference on computer vision, 746-760, 2012 | 4312 | 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 | 1421 | 2017 |
| Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan Advances in neural information processing systems 29, 2016 | 1136 | 2016 |
| Indoor scene segmentation using a structured light sensor N Silberman, R Fergus 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 589 | 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 | 406 | 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 | 307 | 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 | 111 | 2019 |
| Instance segmentation of indoor scenes using a coverage loss N Silberman, D Sontag, R Fergus European conference on computer vision, 616-631, 2014 | 102 | 2014 |
| 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 | 81 | 2017 |
| Contour completion for augmenting surface reconstructions L Shapira, R Gal, E Ofek, P Kohli, N Silberman US Patent 9,171,403, 2015 | 81 | 2015 |
| Case for automated detection of diabetic retinopathy N Silberman, K Ahrlich, R Fergus, L Subramanian 2010 AAAI spring symposium series, 2010 | 81 | 2010 |
| TensorFlow-Slim image classification model library N Silberman, S Guadarrama Github repository, https://github. com/tensorflow/models/tree/master …, 2016 | 60 | 2016 |
| A contour completion model for augmenting surface reconstructions N Silberman, L Shapira, R Gal, P Kohli European Conference on Computer Vision, 488-503, 2014 | 60 | 2014 |
| 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 | 47 | 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 | 27 | 2018 |
| Methods and apparatuses for identifying gestures based on ultrasound data JM Rothberg, TS Ralston, N Silberman US Patent 11,048,334, 2021 | 16 | 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 | 12 | 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 | 9 | 2021 |
| 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 | 6 | 2009 |
| Methods and apparatuses for generating and displaying ultrasound images using an explaining model N Silberman, P Samangouei US Patent App. 16/352,424, 2019 | 5 | 2019 |
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
