Yannis Panagakis

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 112

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

CVPR

ICASSP

Publications

Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis
Scale Equivariant Graph Metanetworks. CoRR (2024)
Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. CoRR (2024)
Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos, Vassilis Katsouros, Yannis Panagakis
Investigating Personalization Methods in Text to Music Generation. ICASSP (2024)
Triantafyllos Kefalas, Yannis Panagakis, Maja Pantic
Large-Scale Unsupervised Audio Pre-Training for Video-to-Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Georgia Kourmouli, Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis
Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
James Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. CoRR (2024)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. ICLR (2023)
Vicky Kouni, Yannis Panagakis
DECONET: An Unfolding Network for Analysis-Based Compressed Sensing With Generalization Error Bounds. IEEE Trans. Signal Process. 71 (2023)
Triantafyllos Kefalas, Yannis Panagakis, Maja Pantic
Large-scale unsupervised audio pre-training for video-to-speech synthesis. CoRR (2023)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
Parts of Speech-Grounded Subspaces in Vision-Language Models. NeurIPS (2023)
Panagiotis Koromilas, Mihalis A. Nicolaou, Theodoros Giannakopoulos, Yannis Panagakis
MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods. ICASSP (2023)
Georgia Kourmouli, Nikos Kostagiolas, Yannis Panagakis, Mihalis A. Nicolaou
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs. CoRR (2023)
Vicky Kouni, Yannis Panagakis
Generalization analysis of an unfolding network for analysis-based Compressed Sensing. CoRR (2023)
Stylianos Bakas, Siegfried Ludwig, Dimitrios A. Adamos, Nikolaos A. Laskaris, Yannis Panagakis, Stefanos Zafeiriou
Latent Alignment with Deep Set EEG Decoders. CoRR (2023)
Triantafyllos Kefalas, Yannis Panagakis, Maja Pantic
Audio-visual video-to-speech synthesis with synthesized input audio. CoRR (2023)
Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos, Vassilis Katsouros, Yannis Panagakis
Investigating Personalization Methods in Text to Music Generation. CoRR (2023)
Triantafyllos Kefalas, Eftychia Fotiadou, Markos Georgopoulos, Yannis Panagakis, Pingchuan Ma, Stavros Petridis, Themos Stafylakis, Maja Pantic
KAN-AV dataset for audio-visual face and speech analysis in the wild. Image Vis. Comput. 140 (2023)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras
Parts of Speech-Grounded Subspaces in Vision-Language Models. CoRR (2023)
Nikos Kostagiolas, Mihalis Nicolaou, Yannis Panagakis
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. SETN (2022)
Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis
Cluster-guided Image Synthesis with Unconditional Models. CVPR (2022)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. CoRR (2022)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Deep Polynomial Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. CoRR (2022)
James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou
Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Christos Papadopoulos, Yannis Panagakis, Manolis Koubarakis, Mihalis Nicolaou
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT. NAACL-HLT (Findings) (2022)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR (2022)
Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar
Augmenting Deep Classifiers with Polynomial Neural Networks. ECCV (25) (2022)
Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. CoRR (2022)
Grigorios G. Chrysos, Yannis Panagakis
CoPE: Conditional image generation using Polynomial Expansions. CoRR (2021)
Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou
Tensor Methods in Computer Vision and Deep Learning. CoRR (2021)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. BMVC (2021)
James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras
Tensor Component Analysis for Interpreting the Latent Space of GANs. BMVC (2021)
Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis
Polynomial Networks in Deep Classifiers. CoRR (2021)
James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras
Tensor Component Analysis for Interpreting the Latent Space of GANs. CoRR (2021)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Antoine Toisoul, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis
Conditional Generation Using Polynomial Expansions. NeurIPS (2021)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. CoRR (2021)
Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou
Tensor Methods in Computer Vision and Deep Learning. Proc. IEEE 109 (5) (2021)
Jie Pu, Yannis Panagakis, Maja Pantic
Learning Separable Time-Frequency Filterbanks for Audio Classification. ICASSP (2021)
Siegfried Ludwig, Stylianos Bakas, Dimitrios A. Adamos, Nikolaos A. Laskaris, Yannis Panagakis, Stefanos Zafeiriou
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters. CoRR (2021)
Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis
Cluster-guided Image Synthesis with Unconditional Models. CoRR (2021)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Tensor Dropout for Robust Learning. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic
Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer. Int. J. Comput. Vis. 129 (7) (2021)
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Investigating bias in deep face analysis: The KANFace dataset and empirical study. Image Vis. Comput. 102 (2020)
Jie Pu, Yannis Panagakis, Maja Pantic
Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization. ICASSP (2020)
Jie Pu, Yannis Panagakis, Maja Pantic
Active Speaker Detection and Localization in Videos Using Low-Rank and Kernelized Sparsity. IEEE Signal Process. Lett. 27 (2020)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou
P-nets: Deep Polynomial Neural Networks. CVPR (2020)
Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Deep Polynomial Neural Networks. CoRR (2020)
Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic
Speech-Driven Facial Animation Using Polynomial Fusion of Features. ICASSP (2020)
Grigorios G. Chrysos, Yannis Panagakis
NAPS: Non-adversarial polynomial synthesis. Pattern Recognit. Lett. 140 (2020)
Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. CVPR (2020)
Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic
Enhancing Facial Data Diversity with Style-based Face Aging. CVPR Workshops (2020)
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study. CoRR (2020)
Jie Pu, Yannis Panagakis, Stavros Petridis, Jie Shen, Maja Pantic
Blind Audio-Visual Localization and Separation via Low-Rank and Sparsity. IEEE Trans. Cybern. 50 (5) (2020)
Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic
Enhancing Facial Data Diversity with Style-based Face Aging. CoRR (2020)
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. ICML (2020)
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. CoRR (2020)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Π-nets: Deep Polynomial Neural Networks. CoRR (2020)
Vladimir Gligorijevic, Yannis Panagakis, Stefanos Zafeiriou
Non-Negative Matrix Factorizations for Multiplex Network Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 41 (4) (2019)
Linh Tran, Jean Kossaifi, Yannis Panagakis, Maja Pantic
Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. Int. J. Comput. Vis. 127 (6-7) (2019)
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Robust Kronecker Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou
PolyGAN: High-Order Polynomial Generators. CoRR (2019)
Mengjiao Wang, Zhixin Shu, Shiyang Cheng, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou
An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations. Int. J. Comput. Vis. 127 (6-7) (2019)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. CoRR (2019)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Stochastically Rank-Regularized Tensor Regression Networks. CoRR (2019)
Niannan Xue, Jiankang Deng, Shiyang Cheng, Yannis Panagakis, Stefanos Zafeiriou
Side Information for Face Completion: A Robust PCA Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic
Speech-driven facial animation using polynomial fusion of features. CoRR (2019)
Jie Pu, Yannis Panagakis, Maja Pantic
Learning Low Rank and Sparse Models via Robust Autoencoders. ICASSP (2019)
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic
TensorLy: Tensor Learning in Python. J. Mach. Learn. Res. 20 (2019)
Anna Mitenkova, Jean Kossaifi, Yannis Panagakis, Maja Pantic
Valence and Arousal Estimation In-The-Wild with Tensor Methods. FG (2019)
Vahan Hovhannisyan, Yannis Panagakis, Panos Parpas, Stefanos Zafeiriou
Fast Multilevel Algorithms for Compressive Principal Component Pursuit. SIAM J. Imaging Sci. 12 (1) (2019)
James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes. CoRR (2019)
Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic
Efficient N-Dimensional Convolutions via Higher-Order Factorization. CoRR (2019)
Christos Sagonas, Evangelos Ververas, Yannis Panagakis, Stefanos Zafeiriou
Recovering Joint and Individual Components in Facial Data. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Modelling of Facial Aging and Kinship: A Survey. CoRR (2018)
Mengjiao Wang, Yannis Panagakis, Patrick Snape, Stefanos P. Zafeiriou
Disentangling the Modes of Variation in Unlabelled Data. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Robust Kronecker Component Analysis. CoRR (2018)
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR (2018)
James Booth, Anastasios Roussos, Evangelos Ververas, Epameinondas Antonakos, Stylianos Ploumpis, Yannis Panagakis, Stefanos Zafeiriou
3D Reconstruction of "In-the-Wild" Faces in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Grigorios G. Chrysos, Yannis Panagakis, Stefanos Zafeiriou
Visual Data Augmentation through Learning. CoRR (2018)
Stylianos Moschoglou, Evangelos Ververas, Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou
Multi-Attribute Robust Component Analysis for Facial UV Maps. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Informed Non-Convex Robust Principal Component Analysis With Features. AAAI (2018)
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Modeling of facial aging and kinship: A survey. Image Vis. Comput. 80 (2018)
Christos Georgakis, Yannis Panagakis, Maja Pantic
Dynamic Behavior Analysis via Structured Rank Minimization. Int. J. Comput. Vis. 126 (2-4) (2018)
Niannan Xue, Jiankang Deng, Shiyang Cheng, Yannis Panagakis, Stefanos Zafeiriou
Side Information for Face Completion: a Robust PCA Approach. CoRR (2018)
Mengjiao Wang, Yannis Panagakis, Patrick Snape, Stefanos Zafeiriou
Learning the Multilinear Structure of Visual Data. CVPR (2017)
Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Informed Non-convex Robust Principal Component Analysis with Features. CoRR (2017)
Vahan Hovhannisyan, Yannis Panagakis, Stefanos Zafeiriou, Panos Parpas
Multilevel Approximate Robust Principal Component Analysis. ICCV Workshops (2017)
Christos Georgakis, Yannis Panagakis, Maja Pantic
Behavior prediction in-the-wild. ACII Workshops (2017)
Christos Georgakis, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic
The Conflict Escalation Resolution (CONFER) Database. Image Vis. Comput. 65 (2017)
Niannan Xue, Yannis Panagakis, Stefanos Zafeiriou
Side Information in Robust Principal Component Analysis: Algorithms and Applications. ICCV (2017)
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Robust Kronecker-Decomposable Component Analysis for Low Rank Modeling. CoRR (2017)
Mengjiao Wang, Zhixin Shu, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations. CoRR (2017)
Stylianos Moschoglou, Mihalis A. Nicolaou, Yannis Panagakis, Stefanos Zafeiriou
Initializing probabilistic linear discriminant analysis. EUSIPCO (2017)
Niannan Xue, Yannis Panagakis, Stefanos Zafeiriou
Side Information in Robust Principle Component Analysis: Algorithms and Applications. CoRR (2017)
James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, Stefanos Zafeiriou
3D Face Morphable Models "In-the-Wild". CoRR (2017)
Christos Sagonas, Yannis Panagakis, Alina Leidinger, Stefanos Zafeiriou
Robust Joint and Individual Variance Explained. CVPR (2017)
Lazaros Zafeiriou, Yannis Panagakis, Maja Pantic, Stefanos Zafeiriou
Nonnegative Decompositions for Dynamic Visual Data Analysis. IEEE Trans. Image Process. 26 (12) (2017)
Jie Pu, Yannis Panagakis, Stavros Petridis, Maja Pantic
Audio-visual object localization and separation using low-rank and sparsity. ICASSP (2017)

Yannis Panagakis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yannis Panagakis