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Nicolas Hueber

Observed names: Hueber, Nicolas, N, Hueber, N. Hueber
ORCID: 0000-0003-4374-5160
Observed ORCID: 0000-0003-4374-5160
OpenAlex ID: A5020390782
A robust heart sounds segmentation module based on S-transform
2013 · Ali Moukadem, Alain Dieterlen, et al. · Biomedical Signal Processing and Control · 165
Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification
2018 · F. Chiaroni, M-C. Rahal, et al. · Proceedings - International Conference on Image Processing · 26
Counter-examples generation from a positive unlabeled image dataset
2020 · Florent Chiaroni, Ghazaleh Khodabandelou, et al. · Pattern Recognition · 21
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods
2020 · Florent Chiaroni, Mohamed-Cherif Rahal, et al. · IEEE Signal Processing Magazine · 18
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Localization of Heart Sounds Based on S-Transform and Radial Basis Function Neural Network
2011 · A. Moukadem, A. Dieterlen, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 16
Analysis and quantification of laser-dazzling effects on IR focal plane arrays
2010 · N, Hueber, D, Vincent, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 15
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN
2019 · F. Chiaroni, M-C. Rahal, et al. · Proceedings - International Conference on Image Processing · 9
A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps
2020 · Yann Bernard, Nicolas Hueber, et al. · Lecture notes in computer science · 8
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Comparative study of heart sound localization algorithms
2011 · A. Moukadem, A. Dieterlen, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 7
Automatic Pedestrian Detection and Counting Applied to Urban Planning
2010 · Thomas Michelat, Nicolas Hueber, et al. · Lecture notes in computer science · 6
Bio-inspired approach for intelligent unattended ground sensors
2015 · Nicolas Hueber, Pierre Raymond, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 5
Identification and restoration in 3D fluorescence microscopy
2004 · Alain Dieterlen, Chengqi Xu, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 4
Automated method for generating datasets of infrared or visible images for context-specific training of deep neural network-based object detectors
2023 · Alexander Pichler, Nicolas Hueber · Image and signal processing for remote sensing. Conference · 3
Investigating sanitized and controlled image dataset to train deep convolutional neural networks for remote object detection on the field
2022 · Alexander Pichler, Nicolas Hueber, et al. · 3
Dual field combination for unmanned video surveillance
2017 · Louise Sarrabezolles, Antoine Manzanera, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 3
Bimodal vision system combining standard camera and dynamic vision sensor for detecting and tracking fast UAVs
2024 · Antoine Zundel, Cédric Demonceaux, et al. · Emerging Imaging and Sensing Technologies for Security and Defence · 2
Method for training deep neural networks in vehicle detection using drone-captured data and background synthesis
2024 · Alexander Pichler, Nicolas Hueber · Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications · 2
Visual homing guidance for projectiles using event-cameras
2022 · Marceau Bamond, Nicolas Hueber, et al. · Emerging Imaging and Sensing Technologies for Security and Defence · 2
Application of an event-sensor to situational awareness
2022 · Marceau Bamond, Nicolas Hueber, et al. · 2
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
2019 · Chiaroni, Florent, Khodabandelou, Ghazaleh, et al. · arXiv (Cornell University) · 2
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Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features
2019 · Yann Bernard, Nicolas Hueber, et al. · Advances in intelligent systems and computing · 2
Laser-induced optronic countermeasure against charge-coupled devices and optronic counter-countermeasure in the visible region and infrared region
2004 · Nicolas Hueber, Jean-Pierre Moeglin, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2
Training embedded DNN-based military vehicle detectors for aerial applications with few images using multisource vehicle signatures, data augmentation, and generative AI
2024 · Alexander Pichler, Nicolas Hueber · SPIE Conference on Artificial Intelligence for Security and Defence Applications · 1
Comparison of hybrid real and synthetized image sources for training an object detector
2024 · Nicolas Hueber, Alexander Pichler · Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications · 1
Influence of different image acquisition sources on the performances of a CNN-based object detector
2023 · Nicolas Hueber, Alexander Pichler · SPIE Conference on Artificial Intelligence for Security and Defence Applications · 1
Works count: 37
Citation count: 331
H-index: 8
I10-index: 6
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