Yannis Panagakis

发表

Sparse Multi-label Linear Embedding Within Nonnegative Tensor Factorization Applied to Music Tagging

Constantine Kotropoulos, Yannis Panagakis, Gonzalo R. Arce, 2010, ISMIR.

D Reconstruction of “ Inthe-Wild ” Faces in Images and Videos

Stylianos Ploumpis, S. Zafeiriou, J. Booth, 2018 .

Stochastically Rank-Regularized Tensor Regression Networks pdf

Anima Anandkumar, Jean Kossaifi, Yannis Panagakis, 2019, ArXiv.

Music recommendation using hypergraphs and group sparsity

Constantine Kotropoulos, Yannis Panagakis, Antonis Theodoridis, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders

S. Filippi, P. Elliott, P. Matthews, 2020, Scientific Reports.

Tensor Methods in Computer Vision and Deep Learning

Stefanos Zafeiriou, Anima Anandkumar, Jean Kossaifi, 2021, Proceedings of the IEEE.

Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks

Maja Pantic, Jean Kossaifi, Georgios Tzimiropoulos, 2019 .

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

Mihalis A. Nicolaou, I. Patras, Yannis Panagakis, 2022, 2206.00048.

Learning for multimodal and affect-sensitive interfaces

Maja Pantic, Ognjen Rudovic, Yannis Panagakis, 2018, The Handbook of Multimodal-Multisensor Interfaces, Volume 2.

Conditional Generation Using Polynomial Expansions

Grigorios G. Chrysos, Yannis Panagakis, Markos Georgopoulos, 2021, NeurIPS.

A C AUSAL V IEWPOINT ON M OTOR -I MAGERY B RAIN WAVE D ECODING

N. Laskaris, Yannis Panagakis, Konstantinos Barmpas, 2022 .

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models

Mihalis A. Nicolaou, Yannis Panagakis, Nikos Kostagiolas, 2022, SETN.

Polynomial Networks in Deep Classifiers

Jiankang Deng, Yannis Panagakis, Grigorios Chrysos, 2021, ArXiv.

Augmenting Deep Classifiers with Polynomial Neural Networks

Grigorios G. Chrysos, Anima Anandkumar, Jean Kossaifi, 2021, ECCV.

DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Estimates

Yannis Panagakis, Vasiliki (Vicky) Kouni, 2022, 2205.07050.

Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT

Mihalis A. Nicolaou, Manolis Koubarakis, Yannis Panagakis, 2022, NAACL-HLT.

An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations

D. Samaras, S. Zafeiriou, Yannis Panagakis, 2019, International Journal of Computer Vision.

Music classification by low-rank semantic mappings

Constantine Kotropoulos, Yannis Panagakis, 2013, EURASIP J. Audio Speech Music. Process..

Robust Kronecker Component Analysis

Stefanos Zafeiriou, Yannis Panagakis, Mehdi Bahri, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling

Stefanos Zafeiriou, Yannis Panagakis, Mehdi Bahri, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Multi-Attribute Robust Component Analysis for Facial UV Maps

Stefanos Zafeiriou, Yannis Panagakis, Mihalis A. Nicolaou, 2017, IEEE Journal of Selected Topics in Signal Processing.

Blind Audio–Visual Localization and Separation via Low-Rank and Sparsity

Maja Pantic, Yannis Panagakis, Stavros Petridis, 2020, IEEE Transactions on Cybernetics.

Active Speaker Detection and Localization in Videos Using Low-Rank and Kernelized Sparsity

Maja Pantic, Yannis Panagakis, Jie Pu, 2020, IEEE Signal Processing Letters.

Fast Multilevel Algorithms for Compressive Principal Component Pursuit

Stefanos Zafeiriou, Yannis Panagakis, Panos Parpas, 2019, SIAM J. Imaging Sci..

Side Information for Face Completion: A Robust PCA Approach

Stefanos Zafeiriou, Yannis Panagakis, Shiyang Cheng, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multilevel Approximate Robust Principal Component Analysis

Stefanos Zafeiriou, Yannis Panagakis, Panos Parpas, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Side Information in Robust Principle Component Analysis: Algorithms and Applications

Stefanos Zafeiriou, Yannis Panagakis, Niannan Xue, 2017, ArXiv.

Automatic music mood classification via Low-Rank Representation

Constantine Kotropoulos, Yannis Panagakis, Constantine Kotropoulos, 2011, 2011 19th European Signal Processing Conference.

Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes pdf

Yannis Panagakis, Mihalis A. Nicolaou, James Oldfield, 2019, ArXiv.

Non-Negative Matrix Factorizations for Multiplex Network Analysis

Stefanos Zafeiriou, Yannis Panagakis, Vladimir Gligorijević, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fusion and community detection in multi-layer graphs

Stefanos Zafeiriou, Yannis Panagakis, Vladimir Gligorijevic, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

TensorLy: Tensor Learning in Python pdf

Maja Pantic, Jean Kossaifi, Yannis Panagakis, 2016, J. Mach. Learn. Res..

Deep Polynomial Neural Networks

Stefanos Zafeiriou, Yannis Panagakis, Jiankang Deng, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Audio-visual object localization and separation using low-rank and sparsity

Maja Pantic, Yannis Panagakis, Stavros Petridis, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Joint and Individual Variance Explained

Stefanos Zafeiriou, Yannis Panagakis, Christos Sagonas, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Disentangling the Modes of Variation in Unlabelled Data

Patrick Snape, Yannis Panagakis, Mengjiao Wang, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning the Multilinear Structure of Visual Data

Stefanos Zafeiriou, Mengjiao Wang, Patrick Snape, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Robust low-rank tensor modelling using Tucker and CP decomposition

Stefanos Zafeiriou, Yannis Panagakis, Niannan Xue, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Dynamic Behavior Analysis via Structured Rank Minimization

Maja Pantic, Christos Georgakis, Yannis Panagakis, 2017, International Journal of Computer Vision.

Generalised Scalable Robust Principal Component Analysis

Stefanos Zafeiriou, Yannis Panagakis, Georgios Papamakarios, 2014, BMVC.

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

M. Pantic, Yannis Panagakis, Markos Georgopoulos, 2020, Image Vis. Comput..

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks

M. Pantic, Jean Kossaifi, Yannis Panagakis, 2019, International Journal of Computer Vision.

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

Maja Pantic, Yannis Panagakis, Mihalis A. Nicolaou, 2021, International Journal of Computer Vision.

Music Genre Classification via Joint Sparse Low-Rank Representation of Audio Features

Constantine Kotropoulos, Yannis Panagakis, Gonzalo R. Arce, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

GAGAN: Geometry-Aware Generative Adversarial Networks

Maja Pantic, Jean Kossaifi, Yannis Panagakis, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

I. Patras, Yannis Panagakis, Christos Tzelepis, 2022, ICLR.

Tensor Component Analysis for Interpreting the Latent Space of GANs pdf

Ioannis Patras, Yannis Panagakis, Mihalis A. Nicolaou, 2021, BMVC.

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

George Trigeorgis, Stefanos Zafeiriou, Yannis Panagakis, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Music genre classification via sparse representations of auditory temporal modulations

Constantine Kotropoulos, Yannis Panagakis, Gonzalo R. Arce, 2009, 2009 17th European Signal Processing Conference.

Valence and Arousal Estimation In-The-Wild with Tensor Methods

Maja Pantic, Jean Kossaifi, Yannis Panagakis, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient N-Dimensional Convolutions via Higher-Order Factorization

Maja Pantic, Timothy Hospedales, Jean Kossaifi, 2019, ArXiv.

Behavior prediction in-the-wild

Maja Pantic, Christos Georgakis, Yannis Panagakis, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Statistical Frontalization of Human and Animal Faces

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2016, International Journal of Computer Vision.

Face frontalization for Alignment and Recognition pdf

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2015, ArXiv.

Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Modelling of Facial Aging and Kinship: A Survey

Maja Pantic, Yannis Panagakis, Markos Georgopoulos, 2018, Image Vis. Comput..

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks

Maja Pantic, Jean Kossaifi, Yannis Panagakis, 2019, International Journal of Computer Vision.

Non-Negative Multilinear Principal Component Analysis of Auditory Temporal Modulations for Music Genre Classification

Constantine Kotropoulos, Yannis Panagakis, Gonzalo R. Arce, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions

N. Laskaris, S. Zafeiriou, Yannis Panagakis, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

EEGminer: discovering interpretable features of brain activity with learnable filters

N. Laskaris, S. Zafeiriou, Yannis Panagakis, 2021, Journal of neural engineering.

P–nets: Deep Polynomial Neural Networks

Stefanos Zafeiriou, Yannis Panagakis, Jiankang Deng, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Parts of Speech-Grounded Subspaces in Vision-Language Models

I. Patras, Yannis Panagakis, Christos Tzelepis, 2023, NeurIPS.

Generalization analysis of an unfolding network for analysis-based Compressed Sensing

Yannis Panagakis, Vicky Kouni, 2023, ArXiv.

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Vernon J. Lawhern, V. Lawhern, N. Laskaris, 2022, NeurIPS.

Telephone handset identification by feature selection and sparse representations

Constantine Kotropoulos, Yannis Panagakis, Constantine Kotropoulos, 2012, 2012 IEEE International Workshop on Information Forensics and Security (WIFS).

Automatic telephone handset identification by sparse representation of random spectral features

Constantine Kotropoulos, Yannis Panagakis, Constantine Kotropoulos, 2012, MM&Sec '12.

Audio-visual video-to-speech synthesis with synthesized input audio

M. Pantic, Yannis Panagakis, Triantafyllos Kefalas, 2023, ArXiv.

Large-Scale Unsupervised Audio Pre-Training for Video-to-Speech Synthesis

M. Pantic, Yannis Panagakis, Triantafyllos Kefalas, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

3D Reconstruction of “In-the-Wild” Faces in Images and Videos

Stefanos Zafeiriou, Yannis Panagakis, James Booth, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DECONET: An Unfolding Network for Analysis-Based Compressed Sensing With Generalization Error Bounds

Yannis Panagakis, Vicky Kouni, 2022, IEEE Transactions on Signal Processing.

DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Estimates

Yannis Panagakis, Vicky Kouni, 2022 .

Speech-Driven Facial Animation Using Polynomial Fusion of Features

M. Pantic, Jean Kossaifi, Yannis Panagakis, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

George Trigeorgis, Stefanos Zafeiriou, Yannis Panagakis, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Automatic construction Of robust spherical harmonic subspaces

Stefanos Zafeiriou, Patrick Snape, Yannis Panagakis, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Statistical Face Frontalization

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Enhancing Facial Data Diversity with Style-based Face Aging

Maja Pantic, Yannis Panagakis, Mihalis A. Nicolaou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Informed Non-convex Robust Principal Component Analysis with Features pdf

Stefanos Zafeiriou, Yannis Panagakis, Jiankang Deng, 2017, AAAI.

RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Elastic Net subspace clustering applied to pop/rock music structure analysis

Constantine Kotropoulos, Yannis Panagakis, Constantine Kotropoulos, 2014, Pattern Recognit. Lett..

Automatic music tagging via PARAFAC2

Constantine Kotropoulos, Yannis Panagakis, Constantine Kotropoulos, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nonnegative Decompositions for Dynamic Visual Data Analysis

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2017, IEEE Transactions on Image Processing.

CoPE: Conditional image generation using Polynomial Expansions pdf

Yannis Panagakis, Grigorios G Chrysos, Yannis Panagakis, 2021, ArXiv.

PolyGAN: High-Order Polynomial Generators pdf

Stefanos Zafeiriou, Yannis Panagakis, Grigorios Chrysos, 2019, ArXiv.

Music Genre Classification Using Locality Preserving Non-Negative Tensor Factorization and Sparse Representations

Constantine Kotropoulos, Yannis Panagakis, Gonzalo R. Arce, 2009, ISMIR.

An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations

Mengjiao Wang, Stefanos Zafeiriou, Yannis Panagakis, 2017, International Journal of Computer Vision.

Active Speaker Detection and Localization in Videos Using Low-Rank and Kernelized Sparsity

M. Pantic, Yannis Panagakis, Jie Pu, 2020, IEEE Signal Processing Letters.

P AND A: U NSUPERVISED L EARNING OF P ARTS AND A PPEARANCES IN THE F EATURE M APS OF GAN S

I. Patras, Yannis Panagakis, Christos Tzelepis, 2023 .

Cluster-guided Image Synthesis with Unconditional Models pdf

Yannis Panagakis, Grigorios G. Chrysos, Markos Georgopoulos, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Initializing probabilistic linear discriminant analysis

Stefanos Zafeiriou, Yannis Panagakis, Mihalis A. Nicolaou, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

KAN-AV dataset for audio-visual face and speech analysis in the wild

Yannis Panagakis, Themos Stafylakis, Pingchuan Ma, 2023, Image and Vision Computing.

BrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition

N. Laskaris, S. Zafeiriou, Yannis Panagakis, 2023, Journal of neural engineering.

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

M. Pantic, Björn Schuller, Jean Kossaifi, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Audiovisual Conflict Detection in Political Debates

Stefanos Zafeiriou, Maja Pantic, Yannis Panagakis, 2014, ECCV Workshops.

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

Yannis Panagakis, Christos Tzelepis, James Oldfield, 2024, 2402.12550.

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation

Timothy M. Hospedales, M. Pantic, Jean Kossaifi, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods

Yannis Panagakis, Theodoros Giannakopoulos, Panagiotis Koromilas, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient N-Dimensional Convolutions via Higher-Order Factorization

M. Pantic, Jean Kossaifi, Yannis Panagakis, 2019, arXiv.org.

Tensor Dropout for Robust Learning

Anima Anandkumar, Jean Kossaifi, Yannis Panagakis, 2020, IEEE Journal of Selected Topics in Signal Processing.

CoPE: Conditional image generation using Polynomial Expansions

Yannis Panagakis, Grigorios G. Chrysos, 2021, ArXiv.

NAPS: Non-adversarial polynomial synthesis

Yannis Panagakis, Grigorios G. Chrysos, Yannis Panagakis, 2020, Pattern Recognit. Lett..

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations pdf

Maja Pantic, Yannis Panagakis, Grigorios Chrysos, 2020, ICML.