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ORCIDRomain Hérault
Person information
- affiliation: University of Caen Normandy, GREYC lab, Caen, France
- affiliation (former): University of Rouen, LITIS, France
- affiliation (former, PhD): University of Technology of Compiègne (UTC), Compiègne, France
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2020 – today
- 2025
[j13]Imen Trabelsi
, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso:
Postural regulation and signal segmentation using clustering with TV regularization approach. Biomed. Signal Process. Control. 99: 106808 (2025)- 2024
- [c14]Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting Using Transformers. WACV (Workshops) 2024: 518-528 - 2023
- [j12]Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
Similarity contrastive estimation for image and video soft contrastive self-supervised learning. Mach. Vis. Appl. 34(6): 111 (2023) - [c13]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. IJCNN 2023: 1-10 - [c12]Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu:
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. WACV 2023: 2705-2715 - [i17]Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers. CoRR abs/2309.01270 (2023) - [i16]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. CoRR abs/2309.14394 (2023) - [i15]Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso:
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples. CoRR abs/2312.07370 (2023) - 2022
- [j11]Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso:
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Comput. Biol. Medicine 143: 105193 (2022) - [j10]Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu:
Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. 222: 103495 (2022) - [i14]Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu:
Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR abs/2206.07431 (2022) - [i13]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. CoRR abs/2212.03361 (2022) - [i12]Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning. CoRR abs/2212.11187 (2022) - 2021
- [i11]Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu:
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. CoRR abs/2111.14585 (2021) - 2020
- [j9]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing 416: 218-230 (2020) - [c11]Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso:
Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML 2020: 126-139 - [c10]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) 2020: 412-435 - [i10]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR abs/2002.01281 (2020) - [i9]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation using Optimal Transport. CoRR abs/2010.01045 (2020)
2010 – 2019
- 2019
- [j8]Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques:
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. 133 (2019) - [j7]Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso:
Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. 126: 21-30 (2019) - [c9]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. ESANN 2019 - [i8]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR abs/1905.08613 (2019) - [i7]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. CoRR abs/1911.00689 (2019) - 2018
- [j6]Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam:
Deep neural networks regularization for structured output prediction. Neurocomputing 281: 169-177 (2018) - [i6]Imad Rida, Romain Hérault, Gilles Gasso:
An efficient supervised dictionary learning method for audio signal recognition. CoRR abs/1812.04748 (2018) - 2017
- [j5]Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski:
Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput. Biol. Medicine 87: 95-103 (2017) - [j4]Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee:
Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. Data Min. Knowl. Discov. 31(6): 1758-1792 (2017) - [j3]Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault:
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 268: 1-3 (2017) - [i5]Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde:
Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. CoRR abs/1708.04975 (2017) - [i4]Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam:
Neural Networks Regularization Through Class-wise Invariant Representation Learning. CoRR abs/1709.01867 (2017) - 2016
- [j2]Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski:
Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). Neurocomputing 192: 1-2 (2016) - [c8]Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam:
Deep multi-task learning with evolving weights. ESANN 2016 - 2015
- [j1]Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski:
IODA: An input/output deep architecture for image labeling. Pattern Recognit. 48(9): 2847-2858 (2015) - [c7]Romain Hérault, Jérémie Boulanger, Ludovic Seifert, John Aldo Lee:
Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding. MLSA@PKDD/ECML 2015: 18-27 - [i3]Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam:
Input/Output Deep Architecture for Structured Output Problems. CoRR abs/1504.07550 (2015) - [i2]Jérémie Boulanger, Ludovic Seifert, Romain Hérault, Jean-François Coeurjolly:
Automatic sensor-based detection and classification of climbing activities. CoRR abs/1508.04153 (2015) - 2014
- [c6]Imad Rida, Romain Hérault, Gilles Gasso:
Supervised Music Chord Recognition. ICMLA 2014: 336-341 - [i1]John Komar, Romain Hérault, Ludovic Seifert:
Key point selection and clustering of swimmer coordination through Sparse Fisher-EM. CoRR abs/1401.1489 (2014) - 2013
- [c5]Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu:
Detection and quantification in real-time polymerase chain reaction. ESANN 2013 - [c4]John Komar, Romain Hérault, Ludovic Seifert:
Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM. MLSA@PKDD/ECML 2013: 79-88
2000 – 2009
- 2009
- [c3]Benjamin Labbé, Romain Hérault, Clément Chatelain:
Learning Deep Neural Networks for High Dimensional Output Problems. ICMLA 2009: 63-68 - 2007
- [c2]Romain Hérault, Yves Grandvalet:
Sparse probabilistic classifiers. ICML 2007: 337-344 - 2006
- [c1]Romain Hérault, Franck Davoine, Yves Grandvalet:
Head and Facial Action Tracking: Comparison of Two Robust Approaches. FGR 2006: 287-292
Coauthor Index
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