
Polynomial Networks in Deep Classifiers
Deep neural networks have been the driving force behind the success in c...
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CoPE: Conditional image generation using Polynomial Expansions
Generative modeling has evolved to a notable field of machine learning. ...
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Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Deep generative models rely on their inductive bias to facilitate genera...
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Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) are currently the method of c...
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Enhancing Facial Data Diversity with Stylebased Face Aging
A significant limiting factor in training fair classifiers relates to th...
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Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study
Deep learningbased methods have pushed the limits of the stateofthea...
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Πnets: Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
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Speechdriven facial animation using polynomial fusion of features
Speechdriven facial animation involves using a speech signal to generat...
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PolyGAN: HighOrder Polynomial Generators
Generative Adversarial Networks (GANs) have become the gold standard whe...
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Efficient NDimensional Convolutions via HigherOrder Factorization
With the unprecedented success of deep convolutional neural networks cam...
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Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
Recently, a multitude of methods for imagetoimage translation has demo...
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Stochastically RankRegularized Tensor Regression Networks
Overparametrization of deep neural networks has recently been shown to ...
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SEWA DB: A Rich Database for AudioVisual Emotion and Sentiment Research in the Wild
Natural humancomputer interaction and audiovisual human behaviour sens...
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Modelling of Facial Aging and Kinship: A Survey
Computational facial models that capture properties of facial cues relat...
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Visual Data Augmentation through Learning
The rapid progress in machine learning methods has been empowered by i) ...
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Side Information for Face Completion: a Robust PCA Approach
Robust principal component analysis (RPCA) is a powerful method for lear...
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Robust Kronecker Component Analysis
Dictionary learning and component analysis models are fundamental in lea...
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MultiAttribute Robust Component Analysis for Facial UV Maps
Recently, due to the collection of large scale 3D face models, as well a...
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GAGAN: GeometryAware Generative Adverserial Networks
Deep generative models learned through adversarial training have become ...
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An Adversarial NeuroTensorial Approach For Learning Disentangled Representations
Several factors contribute to the appearance of an object in a visual sc...
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Informed Nonconvex Robust Principal Component Analysis with Features
We revisit the problem of robust principal component analysis with featu...
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Robust KroneckerDecomposable Component Analysis for LowRank Modeling
Dictionary learning and component analysis are part of one of the most w...
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Side Information in Robust Principal Component Analysis: Algorithms and Applications
Robust Principal Component Analysis (RPCA) aims at recovering a lowrank...
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3D Face Morphable Models "IntheWild"
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial...
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Face frontalization for Alignment and Recognition
Recently, it was shown that excellent results can be achieved in both fa...
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Yannis Panagakis
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Lecturer at Middlesex University & Research Fellow at Imperial College London