Romain Hérault

53 papers A* 2A 1B 4C 2Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. Comput. Vis. Image Underst. Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso
2025	J	`jnl`	Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios. CoRR Dhruv Jain, Romain Modzelewski, Romain Hérault, Clément Chatelain, Eva Torfeh, Sébastien Thureau
2025	J	`jnl`	Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. Trans. Mach. Learn. Res. Tsiry Mayet, Simon Bernard, Romain Hérault, Clément Chatelain
2025	—	`conf`	One-Class SVM-guided Negative Sampling for Enhanced Contrastive Learning. NLDL Dhruv Jain, Tsiry Mayet, Romain Hérault, Romain Modzelewski
2025	J	`jnl`	Postural regulation and signal segmentation using clustering with TV regularization approach. Biomed. Signal Process. Control. Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso
2025	J	`jnl`	Pre to Post-Treatment Glioblastoma MRI Prediction using a Latent Diffusion Model. CoRR Alexandre G. Leclercq, Sébastien Bougleux, Noémie N. Moreau, Alexis Desmonts, Romain Hérault, Aurélien Corroyer-Dulmont
2025	—	`conf`	Pre to Post-treatment Glioblastoma MRI Prediction Using a Latent Diffusion Model. DGM4MICCAI@MICCAI Alexandre G. Leclercq, Sébastien Bougleux, Noémie N. Moreau, Alexis Desmonts, Romain Hérault, Aurélien Corroyer-Dulmont
2025	J	`jnl`	Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics. CoRR Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Romain Modzelewski, Romain Hérault, Simon Bernard, Sébastien Thureau, Clément Chatelain
2025	A*	`conf`	TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning. ICLR Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2024	—	`conf`	COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting Using Transformers. WACV (Workshops) Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault
2024	J	`jnl`	TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning. CoRR Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2023	J	`jnl`	Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples. CoRR Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso
2023	J	`jnl`	COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers. CoRR Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault
2023	B	`conf`	Domain Translation via Latent Space Mapping. IJCNN Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2023	J	`jnl`	Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. CoRR Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2023	A	`conf`	Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. WACV Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
2023	J	`jnl`	Similarity contrastive estimation for image and video soft contrastive self-supervised learning. Mach. Vis. Appl. Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault
2022	J	`jnl`	Domain Translation via Latent Space Mapping. CoRR Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2022	J	`jnl`	Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Comput. Biol. Medicine Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	J	`jnl`	Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning. CoRR Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault
2021	J	`jnl`	Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. CoRR Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
2020	—	`conf`	Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso
2020	—	`conf`	Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Open Set Domain Adaptation using Optimal Transport. CoRR Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2020	J	`jnl`	Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques
2019	J	`jnl`	Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso
2019	B	`conf`	Pixel-wise Conditioning of Generative Adversarial Networks. ESANN Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Pixel-wise Conditioning of Generative Adversarial Networks. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2018	J	`jnl`	An efficient supervised dictionary learning method for audio signal recognition. CoRR Imad Rida, Romain Hérault, Gilles Gasso
2018	J	`jnl`	Deep neural networks regularization for structured output prediction. Neurocomputing Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam
2017	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault
2017	J	`jnl`	Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. Data Min. Knowl. Discov. Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee
2017	J	`jnl`	Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. CoRR Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde
2017	J	`jnl`	Neural Networks Regularization Through Class-wise Invariant Representation Learning. CoRR Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam
2017	J	`jnl`	Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput. Biol. Medicine Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski
2016	B	`conf`	Deep multi-task learning with evolving weights. ESANN Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam
2016	J	`jnl`	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 Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski
2015	J	`jnl`	Automatic sensor-based detection and classification of climbing activities. CoRR Jérémie Boulanger, Ludovic Seifert, Romain Hérault, Jean-François Coeurjolly
2015	J	`jnl`	IODA: An input/output deep architecture for image labeling. Pattern Recognit. Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski
2015	J	`jnl`	Input/Output Deep Architecture for Structured Output Problems. CoRR Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam
2015	—	`conf`	Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding. MLSA@PKDD/ECML Romain Hérault, Jérémie Boulanger, Ludovic Seifert, John Aldo Lee
2014	J	`jnl`	Key point selection and clustering of swimmer coordination through Sparse Fisher-EM. CoRR John Komar, Romain Hérault, Ludovic Seifert
2014	C	`conf`	Supervised Music Chord Recognition. ICMLA Imad Rida, Romain Hérault, Gilles Gasso
2013	B	`conf`	Detection and quantification in real-time polymerase chain reaction. ESANN Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu
2013	—	`conf`	Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM. MLSA@PKDD/ECML John Komar, Romain Hérault, Ludovic Seifert
2009	C	`conf`	Learning Deep Neural Networks for High Dimensional Output Problems. ICMLA Benjamin Labbé, Romain Hérault, Clément Chatelain
2007	A*	`conf`	Sparse probabilistic classifiers. ICML Romain Hérault, Yves Grandvalet
2006	—	`conf`	Head and Facial Action Tracking: Comparison of Two Robust Approaches. FGR Romain Hérault, Franck Davoine, Yves Grandvalet