Publications
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
Computer Vision and Pattern Recognition, 2017
Domain Separation Networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
Neural Information Processing Systems, 2016
Im2Calories: towards an automated mobile vision food diary
Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P Murphy
International Conference on Computer Vision, 2015
PhD Thesis, New York University, 2015
Nathan Silberman
Instance Segmentation of Indoor Scenes using a Coverage Loss
Nathan Silberman, David Sontag, Rob Fergus
European Conference on Computer Vision, 2014
A Contour Completion Model for Augmenting Surface Reconstructions
Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli
European Conference on Computer Vision, 2014
Indoor Segmentation and Support Inference from RGBD Images (Oral)
Nathan Silberman, Derek Hoiem, Pushmeet Kohli and Rob Fergus
European Conference on Computer Vision, 2012
Indoor Scene Segmentation using a Structured Light Sensor
Nathan Silberman and Rob Fergus
International Conference on Computer Vision – Workshop on 3D Representation and Recognition, 2011
Case for Automated Detection of Diabetic Retinopathy
Nathan Silberman, Kristy Ahrlich, Rob Fergus and Lakshminarayanan Subramanian
AAAI-Development Spring Symposium, 2010
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, and Daniel Walker
Neural Information Processing Systems (NIPS), 2009.