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! The second Reconstruction Meets Recognition Challenge will be a part of ECCV 2014. Stay tuned for challenge details!

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.