Nathan Silberman

I am a fifth year PHD student at NYU studying computer vision with Rob Fergus in the VLG lab. My research interests lie in the realm of scene understanding. Specifically, I am interested in representations of scenes that are richer than pure object labeling in the image plane. Recently, I have been studying inference of physical support relations in indoor scenes.

Email: [my last name]@cs.nyu.edu


New! A Contour Completion Model for Augmenting Surface Reconstructions was accepted at ECCV 2014

New! Instance Segmentation of Indoor Scenes using a Coverage Loss was accepted at ECCV 2014

New! I'm helping to organize the Reconstruction Meets Recognition Challenge at ECCV 2014. The challange datasets are now available.

I'm helping to organize the Reconstruction Meets Recognition Challenge at ICCV 2013.

Code now available for Indoor Segmentation and Support Inference from RGBD Images.

Indoor Segmentation and Support Inference from RGBD Images accepted as an Oral at ECCV

NYU Depth V2 Released.