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2020 – today
- 2023
[i25]Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023)- 2022
- [c19]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 - [i24]Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan:
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR abs/2211.16749 (2022) - 2021
- [j12]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) - [j11]Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic:
Estimation of continuous valence and arousal levels from faces in naturalistic conditions. Nat. Mach. Intell. 3(1): 42-50 (2021) - [j10]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) - [j9]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) - [c18]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. BMVC 2021: 131 - [c17]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML 2021: 7301-7312 - [c16]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. IJCNN 2021: 1-8 - [c15]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS 2021: 237-250 - [i23]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR abs/2106.00136 (2021) - [i22]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) - [i21]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR abs/2110.13771 (2021) - [i20]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) - [i19]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR abs/2110.14538 (2021) - 2020
- [j8]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
RoCGAN: Robust Conditional GAN. Int. J. Comput. Vis. 128(10): 2665-2683 (2020) - [j7]Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar:
Tensor Regression Networks. J. Mach. Learn. Res. 21: 123:1-123:21 (2020) - [c14]Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Incremental Multi-Domain Learning with Network Latent Tensor Factorization. AAAI 2020: 10470-10477 - [c13]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 - [c12]Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Toward fast and accurate human pose estimation via soft-gated skip connections. FG 2020: 8-15 - [c11]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 - [c10]Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS 2020 - [i18]Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Toward fast and accurate human pose estimation via soft-gated skip connections. CoRR abs/2002.11098 (2020) - [i17]Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar:
Spectral Learning on Matrices and Tensors. CoRR abs/2004.07984 (2020) - [i16]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. CoRR abs/2007.09250 (2020)
2010 – 2019
- 2019
- [j6]Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar:
Spectral Learning on Matrices and Tensors. Found. Trends Mach. Learn. 12(5-6): 393-536 (2019) - [j5]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) - [j4]Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic:
TensorLy: Tensor Learning in Python. J. Mach. Learn. Res. 20: 26:1-26:6 (2019) - [c9]Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic:
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor. CVPR 2019: 7822-7831 - [c8]Anna Mitenkova, Jean Kossaifi, Yannis Panagakis, Maja Pantic:
Valence and Arousal Estimation In-The-Wild with Tensor Methods. FG 2019: 1-7 - [c7]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
Robust Conditional Generative Adversarial Networks. ICLR (Poster) 2019 - [i15]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) - [i14]Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews:
Stochastically Rank-Regularized Tensor Regression Networks. CoRR abs/1902.10758 (2019) - [i13]Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic:
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor. CoRR abs/1904.02698 (2019) - [i12]Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic:
Improved training of binary networks for human pose estimation and image recognition. CoRR abs/1904.05868 (2019) - [i11]Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Incremental multi-domain learning with network latent tensor factorization. CoRR abs/1904.06345 (2019) - [i10]Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Matrix and tensor decompositions for training binary neural networks. CoRR abs/1904.07852 (2019) - [i9]Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic:
Efficient N-Dimensional Convolutions via Higher-Order Factorization. CoRR abs/1906.06196 (2019) - [i8]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
- [b1]Jean Kossaifi:
Machine learning methods for face modelling and analysis in-the-wild. Imperial College London, UK, 2018 - [c6]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR 2018: 878-887 - [c5]Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar:
Stochastic Activation Pruning for Robust Adversarial Defense. ICLR (Poster) 2018 - [i7]Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar:
Stochastic Activation Pruning for Robust Adversarial Defense. CoRR abs/1803.01442 (2018) - [i6]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
Robust Conditional Generative Adversarial Networks. CoRR abs/1805.08657 (2018) - 2017
- [j3]Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, Maja Pantic:
AFEW-VA database for valence and arousal estimation in-the-wild. Image Vis. Comput. 65: 23-36 (2017) - [j2]Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models. IEEE Trans. Image Process. 26(2): 1040-1053 (2017) - [c4]Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar:
Tensor Contraction Layers for Parsimonious Deep Nets. CVPR Workshops 2017: 1940-1946 - [i5]Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar:
Tensor Contraction Layers for Parsimonious Deep Nets. CoRR abs/1706.00439 (2017) - [i4]Jean Kossaifi, Zachary C. Lipton, Aran Khanna, Tommaso Furlanello, Anima Anandkumar:
Tensor Regression Networks. CoRR abs/1707.08308 (2017) - [i3]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR abs/1712.00684 (2017) - 2016
- [i2]Jean Kossaifi, Yannis Panagakis, Maja Pantic:
TensorLy: Tensor Learning in Python. CoRR abs/1610.09555 (2016) - 2015
- [c3]Jie Shen, Stefanos Zafeiriou, Grigoris G. Chrysos, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results. ICCV Workshops 2015: 1003-1011 - [c2]Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Fast and exact bi-directional fitting of active appearance models. ICIP 2015: 1135-1139 - 2014
- [j1]Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux:
Machine learning for neuroimaging with scikit-learn. Frontiers Neuroinformatics 8: 14 (2014) - [c1]Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Fast Newton active appearance models. ICIP 2014: 1420-1424 - [i1]Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux:
Machine Learning for Neuroimaging with Scikit-Learn. CoRR abs/1412.3919 (2014)
Coauthor Index
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last updated on 2023-03-26 01:42 CET by the dblp team
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