Towards efficient feature sharing in MIMO architectures
Rémy Sun
,
Alexandre Ramé
,
Clément Masson
,
Nicolas Thome
,
Matthieu Cord
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , Jun 2022, New Orleans, United States. pp.2696-2700,
⟨10.1109/CVPRW56347.2022.00303⟩
Conference papers
hal-03951737v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Hedi Ben-Younes
,
Remi Cadene
,
Nicolas Thome
,
Matthieu Cord
AAAI 2019 - 33rd AAAI Conference on Artificial Intelligence , Jan 2019, Honolulu, United States
Conference papers
hal-02073644v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation
Emanuele Dalsasso
,
Clément Rambour
,
Nicolas Trouvé
,
Nicolas Thome
2023
Preprints, Working Papers, ...
hal-04163624v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
,
Nicolas Thome
Conference papers
hal-02947331v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Prévision de l’irradiance solaire par réseaux de neurones profonds à l’aide de caméras au sol
Vincent Le Guen
,
Nicolas Thome
GRETSI 2019 , Aug 2019, Lille, France
Conference papers
hal-02948131v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images
Vincent Le Guen
,
Nicolas Thome
Conference papers
hal-02947332v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation
Loïc Themyr
,
Clément Rambour
,
Nicolas Thome
,
Toby Collins
,
Alexandre Hostettler
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Jan 2023, Waikoloa, United States. pp.3223-3232,
⟨10.1109/WACV56688.2023.00324⟩
Conference papers
hal-03901666v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
3D Spatial Priors for Semi-Supervised Organ Segmentation with Deep Convolutional Neural Networks
Nicolas Thome
,
Luc Soler
,
Olivier Petit
Journal articles
hal-03337091v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Deep Time Series Forecasting with Shape and Temporal Criteria
Vincent Le Guen
,
Nicolas Thome
IEEE Transactions on Pattern Analysis and Machine Intelligence , In press
Journal articles
hal-03588390v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Deformable Part-based Fully Convolutional Network for Object Detection
Taylor Mordan
,
Nicolas Thome
,
Matthieu Cord
,
Gilles Henaff
British Machine Vision Conference (BMVC) , Sep 2017, London, United Kingdom
Conference papers
hal-01637070v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
SHADE: Information-Based Regularization for Deep Learning
Michael Blot
,
Thomas Robert
,
Nicolas Thome
,
Matthieu Cord
Conference papers
hal-01994740v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets
Olivier Petit
,
Nicolas Thome
,
Arnaud Charnoz
,
Alexandre Hostettler
,
Luc Soler
Conference papers
hal-02471187v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
MUREL: Multimodal Relational Reasoning for Visual Question Answering
Remi Cadene
,
Hedi Ben-Younes
,
Matthieu Cord
,
Nicolas Thome
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2019, Long Beach, CA, United States
Conference papers
hal-02073649v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Classifying low-resolution images by integrating privileged information in deep CNNs
Marion Chevalier
,
Nicolas Thome
,
Gilles Henaff
,
Matthieu Cord
Journal articles
hal-02470742v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection
Taylor Mordan
,
Nicolas Thome
,
Gilles Henaff
,
Matthieu Cord
Journal articles
hal-01842031v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
Hedi Ben-Younes
,
Remi Cadene
,
Matthieu Cord
,
Nicolas Thome
2017 IEEE International Conference on Computer Vision (ICCV) , Oct 2017, Venice, Italy. pp.2631-2639,
⟨10.1109/ICCV.2017.285⟩
Conference papers
hal-02073637v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Exploiting Negative Evidence for Deep Latent Structured Models
Thibaut Durand
,
Nicolas Thome
,
Matthieu Cord
Journal articles
hal-01969819v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Marc Lafon
,
Elias Ramzi
,
Clément Rambour
,
Nicolas Thome
International Conference on Machine Learning , Jul 2023, Honololu, Hawaii, United States
Conference papers
hal-04112184v2
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Iterative Confidence Relabeling with Deep ConvNets for Organ Segmentation with Partial Labels
Olivier Petit
,
Nicolas Thome
,
Luc Soler
Journal articles
hal-03243619v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
Vincent Le Guen
,
Clément Rambour
,
Nicolas Thome
Conference papers
hal-03717740v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning
Thomas Robert
,
Nicolas Thome
,
Matthieu Cord
Conference papers
hal-02073640v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem
,
Hedi Ben-Younes
,
Patrick Perez
,
Nicolas Thome
Conference papers
hal-04071275v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Multitask Classification and Segmentation for Cancer Diagnosis in Mammography
Thi-Lam-Thuy Le
,
Nicolas Thome
,
Sylvain Bernard
,
Vincent Bismuth
,
Fanny Patoureaux
2019
Other publications
hal-02986361v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Confidence Estimation via Auxiliary Models
Charles Corbière
,
Nicolas Thome
,
Antoine Saporta
,
Tuan-Hung Vu
,
Matthieu Cord
,
et al.
Journal articles
hal-03252079v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Augmenting physical models with deep networks for complex dynamics forecasting
Yuan Yin
,
Vincent Le Guen
,
Jérémie Donà
,
Emmanuel de Bézenac
,
Ibrahim Ayed
,
et al.
Journal articles
hal-03508401v2
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Denis Coquenet
,
Clément Rambour
,
Emanuele Dalsasso
,
Nicolas Thome
2023
Preprints, Working Papers, ...
hal-04162923v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Augmenting physical models with deep networks for complex dynamics forecasting
Yuan Yin
,
Vincent Le Guen
,
Jérémie Dona
,
Ibrahim Ayed
,
Emmanuel de Bézenac
,
et al.
Ninth International Conference on Learning Representations ICLR 2021 , 2021, Vienna (virtual), Austria
Conference papers
hal-03137025v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi
,
Nicolas Thome
,
Clément Rambour
,
Nicolas Audebert
,
Xavier Bitot
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) , Dec 2021, Sydney, Australia
Conference papers
hal-03359605v3
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Memory transformers for full context and high-resolution 3D Medical Segmentation
Loic Themyr
,
Clément Rambour
,
Nicolas Thome
,
Toby Collins
,
Alexandre Hostettler
Conference papers
hal-03769673v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
Thibaut Durand
,
Taylor Mordan
,
Nicolas Thome
,
Matthieu Cord
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) , IEEE, Jul 2017, Honolulu, HI, United States. pp.5957-5966,
⟨10.1109/CVPR.2017.631⟩
Conference papers
hal-01515640v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More