Romain Hérault

According to our database, Romain Hérault authored at least 34 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Similarity contrastive estimation for image and video soft contrastive self-supervised learning.

Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault

Mach. Vis. Appl., November, 2023

Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples.

Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso

CoRR, 2023

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation.

Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault

CoRR, 2023

COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers.

Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault

CoRR, 2023

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning.

Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Domain Translation via Latent Space Mapping.

Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Physically-admissible polarimetric data augmentation for road-scene analysis.

Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu

Comput. Vis. Image Underst., 2022

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach.

Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso

Comput. Biol. Medicine, 2022

2020

Pixel-wise conditioned generative adversarial networks for image synthesis and completion.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Neurocomputing, 2020

Open Set Domain Adaptation Using Optimal Transport.

Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Learning from Partially Labeled Sequences for Behavioral Signal Annotation.

Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

2019

Palmprint recognition with an efficient data driven ensemble classifier.

Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso

Pattern Recognit. Lett., 2019

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques

Comput. Geosci., 2019

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

CoRR, 2019

Pixel-wise Conditioning of Generative Adversarial Networks.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Deep neural networks regularization for structured output prediction.

Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam

Neurocomputing, 2018

An efficient supervised dictionary learning method for audio signal recognition.

Imad Rida, Romain Hérault, Gilles Gasso

CoRR, 2018

2017

Advances in artificial neural networks, machine learning and computational intelligence.

Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault

Neurocomputing, 2017

Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering.

Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee

Data Min. Knowl. Discov., 2017

Neural Networks Regularization Through Class-wise Invariant Representation Learning.

Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam

CoRR, 2017

Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network.

Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde

CoRR, 2017

Spotting L3 slice in CT scans using deep convolutional network and transfer learning.

Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski

Comput. Biol. Medicine, 2017

2016

Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015).

Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski

Neurocomputing, 2016

Deep multi-task learning with evolving weights.

Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

IODA: An input/output deep architecture for image labeling.

Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski

Pattern Recognit., 2015

Automatic sensor-based detection and classification of climbing activities.

Jérémie Boulanger, Ludovic Seifert, Romain Hérault, Jean-François Coeurjolly

CoRR, 2015

Input/Output Deep Architecture for Structured Output Problems.

Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam

CoRR, 2015

Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding.

Romain Hérault, Jérémie Boulanger, Ludovic Seifert, John Aldo Lee

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

2014

Supervised Music Chord Recognition.

Imad Rida, Romain Hérault, Gilles Gasso

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM.

John Komar, Romain Hérault, Ludovic Seifert

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

Detection and quantification in real-time polymerase chain reaction.

Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2009

Learning Deep Neural Networks for High Dimensional Output Problems.

Benjamin Labbé, Romain Hérault, Clément Chatelain

Proceedings of the International Conference on Machine Learning and Applications, 2009

2007

Sparse probabilistic classifiers.

Romain Hérault, Yves Grandvalet

Proceedings of the Machine Learning, 2007

2006

Head and Facial Action Tracking: Comparison of Two Robust Approaches.

Romain Hérault, Franck Davoine, Yves Grandvalet

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006