Romain Hérault

Orcid: 0009-0005-6369-8551

Affiliations:
  • University of Caen Normandy, GREYC lab, Caen, France
  • University of Rouen, LITIS, France (former)
  • University of Technology of Compiègne (UTC), Compiègne, France (former, PhD)


According to our database1, Romain Hérault authored at least 35 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Postural regulation and signal segmentation using clustering with TV regularization approach.
Biomed. Signal Process. Control., 2025

2024
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting Using Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023
Similarity contrastive estimation for image and video soft contrastive self-supervised learning.
Mach. Vis. Appl., November, 2023

Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples.
CoRR, 2023

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation.
CoRR, 2023

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Domain Translation via Latent Space Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Physically-admissible polarimetric data augmentation for road-scene analysis.
Comput. Vis. Image Underst., 2022

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach.
Comput. Biol. Medicine, 2022

2020
Pixel-wise conditioned generative adversarial networks for image synthesis and completion.
Neurocomputing, 2020

Open Set Domain Adaptation Using Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Learning from Partially Labeled Sequences for Behavioral Signal Annotation.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

2019
Palmprint recognition with an efficient data driven ensemble classifier.
Pattern Recognit. Lett., 2019

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?
Comput. Geosci., 2019

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation.
CoRR, 2019

Pixel-wise Conditioning of Generative Adversarial Networks.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Deep neural networks regularization for structured output prediction.
Neurocomputing, 2018

An efficient supervised dictionary learning method for audio signal recognition.
CoRR, 2018

2017
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2017

Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering.
Data Min. Knowl. Discov., 2017

Neural Networks Regularization Through Class-wise Invariant Representation Learning.
CoRR, 2017

Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network.
CoRR, 2017

Spotting L3 slice in CT scans using deep convolutional network and transfer learning.
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).
Neurocomputing, 2016

Deep multi-task learning with evolving weights.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
IODA: An input/output deep architecture for image labeling.
Pattern Recognit., 2015

Automatic sensor-based detection and classification of climbing activities.
CoRR, 2015

Input/Output Deep Architecture for Structured Output Problems.
CoRR, 2015

Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding.
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.
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.
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.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2009
Learning Deep Neural Networks for High Dimensional Output Problems.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2007
Sparse probabilistic classifiers.
Proceedings of the Machine Learning, 2007

2006
Head and Facial Action Tracking: Comparison of Two Robust Approaches.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006


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