no code implementations • 31 Jan 2023 • Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym
Neural networks for point clouds, which respect their natural invariance to permutation and rigid motion, have enjoyed recent success in modeling geometric phenomena, from molecular dynamics to recommender systems.
no code implementations • 5 May 2022 • Nadav Dym, Steven J. Gortler
We show that when a continuous family of semi-algebraic separating invariants is available, separation can be obtained by randomly selecting $2D+1 $ of these invariants.
no code implementations • 19 Mar 2020 • Dor Verbin, Steven J. Gortler, Todd Zickler
We present a sufficient condition for recovering unique texture and viewpoints from unknown orthographic projections of a flat texture process.
no code implementations • CVPR 2015 • Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd Zickler
We introduce a multi-scale framework for low-level vision, where the goal is estimating physical scene values from image data---such as depth from stereo image pairs.
no code implementations • 10 Oct 2013 • Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd Zickler
We develop a framework for extracting a concise representation of the shape information available from diffuse shading in a small image patch.