244 citations · 824 across the 56 of their papers we have counts for
8 papers · 1 filter
Multi-Attribute Robust Component Analysis for Facial UV Maps
Stylianos Moschoglou, Evangelos Ververas, Yannis Panagakis +2
Recently, due to the collection of large scale 3D face models, as well as the advent of deep learning, a significant progress has been made in the field of 3D face alignment "in-th…
GAGAN: Geometry-Aware Generative Adversarial Networks
Jean Kossaifi, Linh Tran, Yannis Panagakis +1
Deep generative models learned through adversarial training have become increasingly popular for their ability to generate naturalistic image textures. However, aside from their te…
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations
Mengjiao Wang, Zhixin Shu, Shiyang Cheng +3
Several factors contribute to the appearance of an object in a visual scene, including pose, illumination, and deformation, among others. Each factor accounts for a source of varia…
Informed Non-convex Robust Principal Component Analysis with Features
Niannan Xue, Jiankang Deng, Yannis Panagakis +1
We revisit the problem of robust principal component analysis with features acting as prior side information. To this aim, a novel, elegant, non-convex optimization approach is pro…
Side Information in Robust Principal Component Analysis: Algorithms and Applications
Niannan Xue, Yannis Panagakis, Stefanos Zafeiriou
Robust Principal Component Analysis (RPCA) aims at recovering a low-rank subspace from grossly corrupted high-dimensional (often visual) data and is a cornerstone in many machine l…
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Dictionary learning and component analysis are part of one of the most well-studied and active research fields, at the intersection of signal and image processing, computer vision,…
Non-Negative Matrix Factorizations for Multiplex Network Analysis
Vladimir Gligorijevic, Yannis Panagakis, Stefanos Zafeiriou
Networks have been a general tool for representing, analyzing, and modeling relational data arising in several domains. One of the most important aspect of network analysis is comm…
3D Face Morphable Models "In-the-Wild"
James Booth, Epameinondas Antonakos, Stylianos Ploumpis +3
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and among the state-of-the-art methods for reconstructing facial shape from single image…