no code implementations • 7 Dec 2023 • Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
We study how to narrow the gap in optimization performance between methods that calculate exact gradients and those that use directional derivatives.
1 code implementation • ICCV 2023 • Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
However, too much or too little invariance can hurt, and the correct amount is unknown a priori and dependent on the instance.
no code implementations • 21 Nov 2022 • Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite
Multi-spectral imagery is invaluable for remote sensing due to different spectral signatures exhibited by materials that often appear identical in greyscale and RGB imagery.
no code implementations • CVPR 2022 • Utkarsh Singhal, Yifei Xing, Stella X. Yu
We study complex-valued scaling as a type of symmetry natural and unique to complex-valued measurements and representations.
no code implementations • 1 Jan 2021 • Utkarsh Singhal, Yifei Xing, Stella Yu
SurReal complex-valued networks adopt a manifold view of complex numbers and derive a distance metric that is invariant to complex scaling.
13 code implementations • NeurIPS 2020 • Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains.