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Yannis Panagakis
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Publications
- 2022
- [c56]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar:
Augmenting Deep Classifiers with Polynomial Neural Networks. ECCV (25) 2022: 692-716 - 2021
- [j31]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): 630-640 (2021) - [j30]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): 1022-1040 (2021) - [j29]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): 863-890 (2021) - [c53]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. BMVC 2021: 131 - [i30]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 abs/2107.03436 (2021) - [i28]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. CoRR abs/2110.13859 (2021) - 2020
- [c47]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: 6059-6068 - [c45]Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic:
Speech-Driven Facial Animation Using Polynomial Fusion of Features. ICASSP 2020: 3487-3491 - 2019
- [j23]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): 824-844 (2019) - [j22]Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic:
TensorLy: Tensor Learning in Python. J. Mach. Learn. Res. 20: 26:1-26:6 (2019) - [c42]Anna Mitenkova, Jean Kossaifi, Yannis Panagakis, Maja Pantic:
Valence and Arousal Estimation In-The-Wild with Tensor Methods. FG 2019: 1-7 - [i20]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 abs/1901.02839 (2019) - [i19]Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews:
Stochastically Rank-Regularized Tensor Regression Networks. CoRR abs/1902.10758 (2019) - [i17]Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic:
Efficient N-Dimensional Convolutions via Higher-Order Factorization. CoRR abs/1906.06196 (2019) - [i15]Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic:
Speech-driven facial animation using polynomial fusion of features. CoRR abs/1912.05833 (2019) - 2018
- [c39]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR 2018: 878-887 - 2017
- [i5]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR abs/1712.00684 (2017) - 2016
- [i3]Jean Kossaifi, Yannis Panagakis, Maja Pantic:
TensorLy: Tensor Learning in Python. CoRR abs/1610.09555 (2016)
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