| Indoor segmentation and support inference from rgbd images N Silberman, D Hoiem, P Kohli, R Fergus European conference on computer vision, 746-760, 2012 | 3309 | 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 | 1079 | 2017 |
| Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan arXiv preprint arXiv:1608.06019, 2016 | 831 | 2016 |
| Indoor scene segmentation using a structured light sensor N Silberman, R Fergus 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 526 | 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 | 313 | 2015 |
| Efficient large-scale distributed training of conditional maximum entropy models G Mann, R McDonald, M Mohri, N Silberman, D Walker IV | 289 | 2009 |
| Instance segmentation of indoor scenes using a coverage loss N Silberman, D Sontag, R Fergus European Conference on Computer Vision, 616-631, 2014 | 93 | 2014 |
| Case for Automated Detection of Diabetic Retinopathy. N Silberman, K Ahrlich, R Fergus, L Subramanian AAAI Spring Symposium: Artificial Intelligence for Development, 2010 | 74 | 2010 |
| Contour completion for augmenting surface reconstructions L Shapira, R Gal, E Ofek, P Kohli, N Silberman US Patent 9,171,403, 2015 | 64 | 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 | 59 | 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 | 56 | 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 | 41 | 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 (11), 1694-1706, 2019 | 30 | 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 | 14 | 2018 |
| Methods and apparatuses for identifying gestures based on ultrasound data JM Rothberg, TS Ralston, N Silberman US Patent App. 16/229,765, 2019 | 8 | 2019 |
| 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 |
| Domain separation neural networks K Bousmalis, N Silberman, D Krishnan, G Trigeorgis, D Erhan US Patent 10,970,589, 2021 | 3 | 2021 |
| Automatically determining orientation and position of medically invasive devices via image processing G Fine, N Silberman US Patent 10,529,088, 2020 | 3 | 2020 |
| 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 | 3 | 2019 |
| TF-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow N Silberman Georgia Institute of Technology, 2017 | 3 | 2017 |
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
