no code implementations • 18 Mar 2024 • Tom Wehrbein, Bodo Rosenhahn, Iain Matthews, Carsten Stoll
To address this issue, we propose to construct dense correspondences between initial human model estimates and the corresponding images that can be used to refine the initial predictions.
no code implementations • CVPR 2022 • Salvador Medina, Denis Tome, Carsten Stoll, Mark Tiede, Kevin Munhall, Alexander G. Hauptmann, Iain Matthews
In this work, we introduce a large-scale speech and mocap dataset that focuses on capturing tongue, jaw, and lip motion.
no code implementations • CVPR 2020 • Thomas Nestmeyer, Jean-François Lalonde, Iain Matthews, Andreas M. Lehrmann
Relighting is an essential step in realistically transferring objects from a captured image into another environment.
no code implementations • CVPR 2017 • Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, Greg Mori
Matrix and tensor factorization methods are often used for finding underlying low-dimensional patterns from noisy data.
39 code implementations • CVPR 2017 • Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh
The method is used to train a hand keypoint detector for single images.
1 code implementation • 9 Dec 2016 • Hanbyul Joo, Tomas Simon, Xulong Li, Hao liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space large enough to host a social group; (3) human appearance and configuration variation is immense; and (4) attaching markers to the body may prime the nature of interactions.
no code implementations • ICCV 2015 • Paulo F. U. Gotardo, Tomas Simon, Yaser Sheikh, Iain Matthews
This paper proposes photogeometric scene flow (PGSF) for high-quality dynamic 3D reconstruction.
no code implementations • ICCV 2015 • Hanbyul Joo, Hao liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
We present an approach to capture the 3D structure and motion of a group of people engaged in a social interaction.
no code implementations • CVPR 2013 • Patrick Lucey, Alina Bialkowski, Peter Carr, Stuart Morgan, Iain Matthews, Yaser Sheikh
In this paper, we describe a method to represent and discover adversarial group behavior in a continuous domain.
no code implementations • NeurIPS 2011 • Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain Matthews, Rob Fergus
We present a type of Temporal Restricted Boltzmann Machine that defines a probability distribution over an output sequence conditional on an input sequence.