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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…
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
Jiankang Deng, Shiyang Cheng, Niannan Xue +2
Recently proposed robust 3D face alignment methods establish either dense or sparse correspondence between a 3D face model and a 2D facial image. The use of these methods presents…
4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications
Shiyang Cheng, Irene Kotsia, Maja Pantic +1
The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collectin…
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…
Joint Multi-view Face Alignment in the Wild
Jiankang Deng, George Trigeorgis, Yuxiang Zhou +1
The de facto algorithm for facial landmark estimation involves running a face detector with a subsequent deformable model fitting on the bounding box. This encompasses two basic pr…
The Unconstrained Ear Recognition Challenge
Žiga Emeršič, Dejan Štepec, Vitomir Štruc +11
In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear i…
Deep Face Deblurring
Grigorios G. Chrysos, Stefanos Zafeiriou
Blind deblurring consists a long studied task, however the outcomes of generic methods are not effective in real world blurred images. Domain-specific methods for deblurring target…
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou +2
Automatic affect recognition is a challenging task due to the various modalities emotions can be expressed with. Applications can be found in many domains including multimedia retr…
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…