1 code implementation • 27 Jul 2022 • Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, Christian Holz
In this paper, we present AvatarPoser, the first learning-based method that predicts full-body poses in world coordinates using only motion input from the user's head and hands.
no code implementations • CVPR 2017 • Riza Alp Guler, Yuxiang Zhou, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos
We define the regression task in terms of the intrinsic, U-V coordinates of a 3D deformable model that is brought into correspondence with image instances at training time.
no code implementations • CVPR 2017 • George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou
In this work we pursue a data-driven approach to the problem of estimating surface normals from a single intensity image, focusing in particular on human faces.
no code implementations • CVPR 2017 • Mengjiao Wang, Yannis Panagakis, Patrick Snape, Stefanos Zafeiriou
To extract these modes of variations from visual data, several supervised methods, such as the TensorFaces, that rely on multilinear (tensor) decomposition (e. g., Higher Order SVD) have been developed.
no code implementations • CVPR 2017 • Riza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos
As such our network can provide useful correspondence information as a stand-alone system, while when used as an initialization for Statistical Deformable Models we obtain landmark localization results that largely outperform the current state-of-the-art on the challenging 300W benchmark.
no code implementations • CVPR 2016 • George Trigeorgis, Patrick Snape, Mihalis A. Nicolaou, Epameinondas Antonakos, Stefanos Zafeiriou
Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment.
1 code implementation • 18 Mar 2016 • Grigorios G. Chrysos, Epameinondas Antonakos, Patrick Snape, Akshay Asthana, Stefanos Zafeiriou
Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as "in-the-wild").
no code implementations • ICCV 2015 • Patrick Snape, Anastasios Roussos, Yannis Panagakis, Stefanos Zafeiriou
In this paper, we propose a method for the robust and efficient computation of multi-frame optical flow in an expressive sequence of facial images.
no code implementations • CVPR 2015 • Patrick Snape, Yannis Panagakis, Stefanos Zafeiriou
In this paper we propose a method to automatically recover a class specific low dimensional spherical harmonic basis from a set of in-the-wild facial images.
no code implementations • CVPR 2014 • Patrick Snape, Stefanos Zafeiriou
We propose a kernel-based framework for computing components from a set of surface normals.