Automatic Differentiation, C++ Templates, and Photogrammetry

By Dan Piponi. 2004

49 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, 3D Vision & Pose, Numerical Methods & Scientific Computing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Lu Fang
2. Soumith Chintala
3. Luca Antiga
4. Zeming Lin
5. Sam Gross

In Computer Graphics and Computer-Aided Design

1. Francisco Massa
2. Lu Fang
3. Soumith Chintala
4. Luca Antiga
5. Sam Gross

In 3D Vision & Pose

1. Francisco Massa
2. Lu Fang

In Numerical Methods & Scientific Computing

1. Soumith Chintala

Citations in the corpus

• PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019, methodology): “PyTorch can be easily extended to perform forward-mode differentiation using array-level dual numbers [31, 32].”