• 
  Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, et al.. Semi-supervised learning made simple with self-supervised clustering. CVPR 2023 – IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2023, Vancouver, Canada. pp.1-11. ⟨hal-04073630⟩
• 
  Laurent Girin, Xiaoyu Bie, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda. Les auto-encodeurs variationnels dynamiques et leur application à la modélisation de spectrogrammes de parole. JEP 2022 - 34e Journées d’Études sur la Parole, Université de Nantes, Jun 2022, Noirmoutier, France. pp.655-663, ⟨10.21437/JEP.2022-69⟩. ⟨hal-03978396⟩
• 
  Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda. Expression-preserving face frontalization improves visually assisted speech processing. International Journal of Computer Vision, 2023, 131 (5), pp.1122-1140. ⟨10.1007/s11263-022-01742-1⟩. ⟨hal-03902610v2⟩
• 
  Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin. Unsupervised Speech Enhancement using Dynamical Variational Autoencoders. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, 30, pp.2993-3007. ⟨10.1109/TASLP.2022.3207349⟩. ⟨hal-03295630⟩
• 
  Yihong Xu. Rethinking Training Strategies and Improving Model Structures for Multiple-Object Tracking. Artificial Intelligence [cs.AI]. Université Grenoble Alpes [2020-..], 2022. English. ⟨NNT : 2022GRALM016⟩. ⟨tel-03813850⟩
• 
  Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, et al.. Dynamical Variational Autoencoders: A Comprehensive Review. Foundations and Trends in Machine Learning, 2021, 15 (1-2), pp.1-175. ⟨10.1561/2200000089⟩. ⟨hal-02926215v2⟩
• 
  Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier. Learning and controlling the source-filter representation of speech with a variational autoencoder. Speech Communication, 2023, 148, pp.53-65. ⟨10.1016/j.specom.2023.02.005⟩. ⟨hal-03650569v2⟩
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  Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda. A Proposal-based Paradigm for Self-supervised Sound Source Localization in Videos. CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. pp.1-10, ⟨10.1109/CVPR52688.2022.00110⟩. ⟨hal-03626420⟩
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  Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda. Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation. Transactions on Machine Learning Research Journal, 2024, pp.1-19. ⟨hal-03584014⟩
• 
  Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, et al.. The Impact of Removing Head Movements on Audio-visual Speech Enhancement. ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, May 2022, Singapore, Singapore. pp.1-5, ⟨10.1109/ICASSP43922.2022.9746401⟩. ⟨hal-03551610v2⟩
• 
  Mostafa Sadeghi, Xavier Alameda-Pineda. Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement. IEEE Transactions on Signal Processing, 2021, 69, pp.1899-1909. ⟨10.1109/TSP.2021.3066038⟩. ⟨hal-02926172v2⟩
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  Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda. ODANet: Online Deep Appearance Network for Identity-Consistent Multi-Person Tracking. ICPR 2021 - 25th International Conference on Pattern Recognition / Workshops, Jan 2021, Milano / Virtual, Italy. pp.803-818, ⟨10.1007/978-3-030-68780-9_60⟩. ⟨hal-03188744v2⟩
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  Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda. A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling. Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.46-50, ⟨10.21437/Interspeech.2021-256⟩. ⟨hal-03295657⟩
• 
  Zhiqi Kang, Radu Horaud, Mostafa Sadeghi. Robust Face Frontalization For Visual Speech Recognition. ICCVW 2021 - International Conference on Computer Vision Workshops, IEEE, Oct 2021, Montreal - Virtual, Canada. pp.2485-2495, ⟨10.1109/ICCVW54120.2021.00281⟩. ⟨hal-03326002v3⟩
• 
  Mostafa Sadeghi, Xavier Alameda-Pineda. Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. ICASSP 2021 - 46th International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto / Virtual, Canada. pp.1-5, ⟨10.1109/ICASSP39728.2021.9414097⟩. ⟨hal-03155445⟩
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  Xiang Hao, Xiangdong Su, Radu Horaud, Xiaofei Li. FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement. ICASSP 2021 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto, Canada. pp.1-5. ⟨hal-03135727⟩
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  Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud. Variational Inference and Learning of Piecewise-linear Dynamical Systems. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (8), pp.3753 - 3764. ⟨10.1109/TNNLS.2021.3054407⟩. ⟨hal-02745527v3⟩
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  Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud. Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milano, Italy. pp.4851-4856, ⟨10.1109/ICPR48806.2021.9412884⟩. ⟨hal-02882229v4⟩
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  Guillaume Delorme, Yihong Xu, Stéphane Lathuilière, Radu Horaud, Xavier Alameda-Pineda. CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification. ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milano, Italy. pp.4428-4435, ⟨10.1109/ICPR48806.2021.9412431⟩. ⟨hal-02882285⟩
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  Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43 (5), pp.1761-1776. ⟨10.1109/TPAMI.2019.2953020⟩. ⟨hal-01950866v2⟩

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