Yannis Panagakis

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Imperial College London

Lecturer at Middlesex University & Research Fellow at Imperial College London

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations

Deep generative models rely on their inductive bias to facilitate genera...
09/09/2020 ∙ by Markos Georgopoulos, et al. ∙ 15 ∙ share

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Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) are currently the method of c...
06/20/2020 ∙ by Grigorios Chrysos, et al. ∙ 66 ∙ share

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Enhancing Facial Data Diversity with Style-based Face Aging

A significant limiting factor in training fair classifiers relates to th...
06/06/2020 ∙ by Markos Georgopoulos, et al. ∙ 3 ∙ share

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Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study

Deep learning-based methods have pushed the limits of the state-of-the-a...
05/15/2020 ∙ by Markos Georgopoulos, et al. ∙ 14 ∙ share

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Π-nets: Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
03/08/2020 ∙ by Grigorios G. Chrysos, et al. ∙ 27 ∙ share

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Speech-driven facial animation using polynomial fusion of features

Speech-driven facial animation involves using a speech signal to generat...
12/12/2019 ∙ by Triantafyllos Kefalas, et al. ∙ 15 ∙ share

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PolyGAN: High-Order Polynomial Generators

Generative Adversarial Networks (GANs) have become the gold standard whe...
08/19/2019 ∙ by Grigorios Chrysos, et al. ∙ 9 ∙ share

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Efficient N-Dimensional Convolutions via Higher-Order Factorization

With the unprecedented success of deep convolutional neural networks cam...
06/14/2019 ∙ by Jean Kossaifi, et al. ∙ 3 ∙ share

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Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes

Recently, a multitude of methods for image-to-image translation has demo...
04/09/2019 ∙ by James Oldfield, et al. ∙ 12 ∙ share

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Stochastically Rank-Regularized Tensor Regression Networks

Over-parametrization of deep neural networks has recently been shown to ...
02/27/2019 ∙ by Arinbjörn Kolbeinsson, et al. ∙ 83 ∙ share

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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Natural human-computer interaction and audio-visual human behaviour sens...
01/09/2019 ∙ by Jean Kossaifi, et al. ∙ 8 ∙ share

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Modelling of Facial Aging and Kinship: A Survey

Computational facial models that capture properties of facial cues relat...
02/13/2018 ∙ by Markos Georgopoulos, et al. ∙ 0 ∙ share

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Visual Data Augmentation through Learning

The rapid progress in machine learning methods has been empowered by i) ...
01/20/2018 ∙ by Grigorios G. Chrysos, et al. ∙ 0 ∙ share

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Side Information for Face Completion: a Robust PCA Approach

Robust principal component analysis (RPCA) is a powerful method for lear...
01/20/2018 ∙ by Niannan Xue, et al. ∙ 0 ∙ share

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Robust Kronecker Component Analysis

Dictionary learning and component analysis models are fundamental in lea...
01/18/2018 ∙ by Mehdi Bahri, et al. ∙ 0 ∙ share

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Multi-Attribute Robust Component Analysis for Facial UV Maps

Recently, due to the collection of large scale 3D face models, as well a...
12/15/2017 ∙ by Stylianos Moschoglou, et al. ∙ 0 ∙ share

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GAGAN: Geometry-Aware Generative Adverserial Networks

Deep generative models learned through adversarial training have become ...
12/03/2017 ∙ by Jean Kossaifi, et al. ∙ 0 ∙ share

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An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations

Several factors contribute to the appearance of an object in a visual sc...
11/28/2017 ∙ by Mengjiao Wang, et al. ∙ 0 ∙ share

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Informed Non-convex Robust Principal Component Analysis with Features

We revisit the problem of robust principal component analysis with featu...
09/14/2017 ∙ by Niannan Xue, et al. ∙ 0 ∙ share

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Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling

Dictionary learning and component analysis are part of one of the most w...
03/22/2017 ∙ by Mehdi Bahri, et al. ∙ 0 ∙ share

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Side Information in Robust Principal Component Analysis: Algorithms and Applications

Robust Principal Component Analysis (RPCA) aims at recovering a low-rank...
02/02/2017 ∙ by Niannan Xue, et al. ∙ 0 ∙ share

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3D Face Morphable Models "In-the-Wild"

3D Morphable Models (3DMMs) are powerful statistical models of 3D facial...
01/19/2017 ∙ by James Booth, et al. ∙ 0 ∙ share

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Face frontalization for Alignment and Recognition

Recently, it was shown that excellent results can be achieved in both fa...
02/03/2015 ∙ by Christos Sagonas, et al. ∙ 0 ∙ share

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Yannis Panagakis

Featured Co-authors

Anima Anandkumar

Stefanos Zafeiriou

Maja Pantic

Björn Schuller

Dimitris Samaras

Jie Shen

Stavros Petridis

Adrian Bulat

Jing Han

Jean Kossaifi

Jiankang Deng

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations

Deep Polynomial Neural Networks

Enhancing Facial Data Diversity with Style-based Face Aging

Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study

Π-nets: Deep Polynomial Neural Networks

Speech-driven facial animation using polynomial fusion of features

PolyGAN: High-Order Polynomial Generators

Efficient N-Dimensional Convolutions via Higher-Order Factorization

Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes

Stochastically Rank-Regularized Tensor Regression Networks

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Modelling of Facial Aging and Kinship: A Survey

Visual Data Augmentation through Learning

Side Information for Face Completion: a Robust PCA Approach

Robust Kronecker Component Analysis

Multi-Attribute Robust Component Analysis for Facial UV Maps

GAGAN: Geometry-Aware Generative Adverserial Networks

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations

Informed Non-convex Robust Principal Component Analysis with Features

Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling

Side Information in Robust Principal Component Analysis: Algorithms and Applications

3D Face Morphable Models "In-the-Wild"

Face frontalization for Alignment and Recognition