Nathan Silberman
Artaic (United States)(US)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Advanced Vision and Imaging, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Indoor Segmentation and Support Inference from RGBD Images(2012)5,533 cited
- → Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks(2017)1,620 cited
- Domain Separation Networks(2016)
- → Im2Calories: Towards an Automated Mobile Vision Food Diary(2015)489 cited
- → Indoor scene segmentation using a structured light sensor(2011)483 cited
- Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models(2009)
- → Learning From Noisy Labels by Regularized Estimation of Annotator Confusion(2019)237 cited
- → Instance Segmentation of Indoor Scenes Using a Coverage Loss(2014)87 cited