Παρακολούθηση
Jean Kossaifi
Jean Kossaifi
Senior Research Scientist at NVIDIA
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nvidia.com - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Machine learning for neuroimaging with scikit-learn
A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Muller, J Kossaifi, ...
Frontiers in Neuroinformatics 8, 1-10, 2014
21382014
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations (ICLR), 2018
7272018
Tensorly: Tensor learning in python
J Kossaifi, Y Panagakis, A Anandkumar, M Pantic
Journal of Machine Learning Research (JMLR) 20, 1--6, 2019
4562019
The first facial landmark tracking in-the-wild challenge: Benchmark and results
J Shen, S Zafeiriou, GG Chrysos, J Kossaifi, G Tzimiropoulos, M Pantic
IEEE International Conference on Computer Vision 2015, 50-58, 2015
4102015
Robust Conditional Generative Adversarial Networks
GG Chrysos, J Kossaifi, S Zafeiriou
International Conference on Learning Representations (ICLR), 2019
2822019
SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild
J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 43 (3 …, 2021
2762021
AFEW-VA Database for Valence and Arousal estimation In-The-Wild
J Kossaifi, G Tzimiropoulos, S Todorovic, M Pantic
Image and Vision Computing 65, 23-36, 2017
2662017
Tensor regression networks
J Kossaifi, ZC Lipton, A Kolbeinsson, A Khanna, T Furlanello, ...
Journal of Machine Learning Research (JMLR) 21 (123), 1-21, 2020
1912020
Estimation of continuous valence and arousal levels from faces in naturalistic conditions
A Toisoul, J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic
Nature Machine Intelligence, 1-9, 2021
1882021
Tensor methods in computer vision and deep learning
Y Panagakis, J Kossaifi, GG Chrysos, J Oldfield, MA Nicolaou, ...
Proceedings of the IEEE 109 (5), 863-890, 2021
1672021
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
J Su, W Byeon, J Kossaifi, F Huang, J Kautz, A Anandkumar
Advances in Neural Information Processing Systems (NeurIPS) 33, 13714--13726, 2020
1542020
Toward fast and accurate human pose estimation via soft-gated skip connections
A Bulat, J Kossaifi, G Tzimiropoulos, M Pantic
15th IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020
1312020
AugMax: Adversarial Composition of Random Augmentations for Robust Training
H Wang, C Xiao, J Kossaifi, Z Yu, A Anandkumar, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2021
1292021
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
J Kossaifi, A Toisoul, A Bulat, Y Panagakis, M Pantic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1072020
Neural operators for accelerating scientific simulations and design
K Azizzadenesheli, N Kovachki, Z Li, M Liu-Schiaffini, J Kossaifi, ...
Nature Reviews Physics, 1-9, 2024
1012024
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
902019
Tensor Contraction Layers for Parsimonious Deep Nets
J Kossaifi, A Khanna, ZC Lipton, T Furlanello, A Anandkumar
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2017
752017
Geometry-informed neural operator for large-scale 3d pdes
Z Li, N Kovachki, C Choy, B Li, J Kossaifi, S Otta, MA Nabian, M Stadler, ...
Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
712024
GAGAN: Geometry-Aware Generative Adversarial Networks
J Kossaifi, L Tran, Y Panagakis, M Pantic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
692018
Improved training of binary networks for human pose estimation and image recognition
A Bulat, G Tzimiropoulos, J Kossaifi, M Pantic
arXiv preprint arXiv:1904.05868, 2019
562019
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