Follow
Nicolas Thome
Nicolas Thome
Professor of Computer Science, Sorbonne University, France
Verified email at sorbonne-universite.fr - Homepage
Title
Cited by
Cited by
Year
Mutan: Multimodal tucker fusion for visual question answering
H Ben-Younes, R Cadene, M Cord, N Thome
Proceedings of the IEEE international conference on computer vision, 2612-2620, 2017
7522017
Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
T Durand, T Mordan, N Thome, M Cord
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4112017
Murel: Multimodal relational reasoning for visual question answering
R Cadene, H Ben-Younes, M Cord, N Thome
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3532019
Addressing failure prediction by learning model confidence
C Corbière, N Thome, A Bar-Hen, M Cord, P Pérez
Advances in Neural Information Processing Systems 32, 2019
3262019
Disentangling physical dynamics from unknown factors for unsupervised video prediction
VL Guen, N Thome
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3092020
U-net transformer: Self and cross attention for medical image segmentation
O Petit, N Thome, C Rambour, L Themyr, T Collins, L Soler
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
2712021
Pooling in image representation: The visual codeword point of view
S Avila, N Thome, M Cord, E Valle, ADA AraúJo
Computer Vision and Image Understanding 117 (5), 453-465, 2013
2702013
Block: Bilinear superdiagonal fusion for visual question answering and visual relationship detection
H Ben-Younes, R Cadene, N Thome, M Cord
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8102-8109, 2019
2522019
Recipe recognition with large multimodal food dataset
X Wang, D Kumar, N Thome, M Cord, F Precioso
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015
2472015
Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings
M Carvalho, R Cadène, D Picard, L Soulier, N Thome, M Cord
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
2372018
Weldon: Weakly supervised learning of deep convolutional neural networks
T Durand, N Thome, M Cord
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2082016
A real-time, multiview fall detection system: A LHMM-based approach
N Thome, S Miguet, S Ambellouis
IEEE transactions on circuits and systems for video technology 18 (11), 1522 …, 2008
1732008
Augmenting physical models with deep networks for complex dynamics forecasting
Y Yin, V Le Guen, J Dona, E de Bézenac, I Ayed, N Thome, P Gallinari
Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124012, 2021
1642021
Shape and time distortion loss for training deep time series forecasting models
V Le Guen, N Thome
Advances in neural information processing systems 32, 2019
1602019
Gossip training for deep learning
M Blot, D Picard, M Cord, N Thome
arXiv preprint arXiv:1611.09726, 2016
1312016
Learning deep hierarchical visual feature coding
H Goh, N Thome, M Cord, JH Lim
IEEE transactions on neural networks and learning systems 25 (12), 2212-2225, 2014
1212014
T-HOG: An effective gradient-based descriptor for single line text regions
R Minetto, N Thome, M Cord, NJ Leite, J Stolfi
Pattern recognition 46 (3), 1078-1090, 2013
1182013
Quadruplet-wise image similarity learning
MT Law, N Thome, M Cord
Proceedings of the IEEE international conference on computer vision, 249-256, 2013
1102013
Bossa: Extended bow formalism for image classification
S Avila, N Thome, M Cord, E Valle, AA Araújo
2011 18th IEEE International Conference on Image Processing, 2909-2912, 2011
1002011
Dynamic scene classification: Learning motion descriptors with slow features analysis
C Thériault, N Thome, M Cord
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
962013
The system can't perform the operation now. Try again later.
Articles 1–20