no code implementations • 17 Apr 2023 • Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides
Additionally, the toolflow can achieve a throughput matching the same baseline with as low as $46\%$ of the resources the baseline requires.
no code implementations • 14 Apr 2023 • Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems.
Ranked #4 on 3D Human Shape Estimation on SSP-3D
no code implementations • 18 Oct 2022 • Benjamin Biggs, James McMahon, Philip Baldoni, Daniel J. Stilwell
We provide theoretical bounds on the worst case performance of the greedy algorithm in seeking to maximize a normalized, monotone, but not necessarily submodular objective function under a simple partition matroid constraint.
no code implementations • NeurIPS 2020 • Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny
We consider the problem of obtaining dense 3D reconstructions of humans from single and partially occluded views.
2 code implementations • ECCV 2020 • Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla
We introduce an automatic, end-to-end method for recovering the 3D pose and shape of dogs from monocular internet images.
no code implementations • 14 Nov 2018 • Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, Roberto Cipolla
We present a system to recover the 3D shape and motion of a wide variety of quadrupeds from video.