36 citations · 70 across the 16 of their papers we have counts for
4 papers · 1 filter
Creatures great and SMAL: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon +1
We present a system to recover the 3D shape and motion of a wide variety of quadrupeds from video. The system comprises a machine learning front-end which predicts candidate 2D joi…
A Benchmark of Selected Algorithmic Differentiation Tools on Some Problems in Computer Vision and Machine Learning
Filip Šrajer, Zuzana Kukelova, Andrew Fitzgibbon
Algorithmic differentiation (AD) allows exact computation of derivatives given only an implementation of an objective function. Although many AD tools are available, a proper and e…
Efficient Differentiable Programming in a Functional Array-Processing Language
Amir Shaikhha, Andrew Fitzgibbon, Dimitrios Vytiniotis +2
We present a system for the automatic differentiation of a higher-order functional array-processing language. The core functional language underlying this system simultaneously sup…
QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision
Jan Svoboda, Thomas Cashman, Andrew Fitzgibbon
Embedded computer vision applications increasingly require the speed and power benefits of single-precision (32 bit) floating point. However, applications which make use of Levenbe…