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hal-01110035v1  Conference papers
Simon LeglaiveRomain HennequinRoland Badeau. Singing voice detection with deep recurrent neural networks
40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia. pp.121-125
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tel-03606384v1  Theses
Arthur Ouaknine. Deep learning for radar data exploitation of autonomous vehicle
Computer Vision and Pattern Recognition [cs.CV]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT007⟩
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ujm-03123042v1  Conference papers
Loïc DenisEmanuele DalsassoFlorence Tupin. A review of deep-learning techniques for SAR image restoration
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
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tel-03494790v1  Theses
Kilian Schulze-Forster. Informed Audio Source Separation with Deep Learning in Limited Data Settings
Signal and Image processing. Institut Polytechnique de Paris, 2021. English
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tel-01912022v1  Theses
Victor Bisot. Apprentissage de représentations pour l’analyse de scènes sonores
Apprentissage [cs.LG]. Telecom ParisTech, 2018. Français
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ujm-03114605v1  Conference papers
Loïc DenisCharles-Alban DeledalleFlorence Tupin. From Patches to Deep Learning: Combining Self-Similarity and Neural Networks for Sar Image Despeckling
2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Jul 2019, Yokohama, Japan. pp.5113-5116, ⟨10.1109/IGARSS.2019.8898473⟩
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tel-03677637v1  Theses
Emile Chapuis. Neural methods for spoken dialogue understanding
Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT045⟩
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tel-03682879v1  Theses
Aakanksha A Rana. High Dynamic Range (HDR) image analysis
Image Processing [eess.IV]. Télécom ParisTech, 2018. English. ⟨NNT : 2018ENST0015⟩
hal-02287532v1  Conference papers
Hadrien BertrandMatthieu PerrotRoberto ArdonIsabelle Bloch. Classification of MRI data using deep learning and Gaussian process-based model selection
IEEE International Symposium on Biomedical Imaging, 2017, Melbourne, Australia. pp.745-748
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hal-02399993v1  Journal articles
Sanjeel ParekhSlim EssidAlexey OzerovNgoc Q. K. DuongPatrick Pérez et al.  Weakly Supervised Representation Learning for Audio-Visual Scene Analysis
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019
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tel-03666646v1  Theses
Emanuele Dalsasso. Deep learning for SAR imagery : from denoising to scene understanding
Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT008⟩
hal-03148450v1  Journal articles
Emanuele DalsassoLoïc DenisFlorence Tupin. SAR2SAR: a semi-supervised despeckling algorithm for SAR images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, In press, pp.1-1. ⟨10.1109/JSTARS.2021.3071864⟩
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hal-01636627v1  Conference papers
Victor BisotRomain SerizelSlim EssidGael Richard. Nonnegative Feature Learning Methods for Acoustic Scene Classification
DCASE 2017 - Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2017, Munich, Germany
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hal-02916165v1  Conference papers
Jérémy ChopinJean-Baptiste FasquelHarold MouchèreR. DayotIsabelle Bloch. Semantic image segmentation based on spatial relationships and inexact graph matching
International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. ⟨10.1109/IPTA50016.2020.9286611⟩
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hal-01120685v4  Journal articles
Xabier JaureguiberryEmmanuel VincentGael Richard. Fusion methods for speech enhancement and audio source separation
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TASLP.2016.2553441⟩
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tel-03788218v1  Theses
Xu Yao. Latent representations for facial images and video editing
Computer Vision and Pattern Recognition [cs.CV]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT019⟩