Xavier ALAMEDA-PINEDA

Xavier ALAMEDA-PINEDA

Xavier ALAMEDA-PINEDA

Visiteur

Titulaire d'une HDR obtenue en 2020

Personnel INRIA Permanent

Site Ampère

Bureau : B366

Téléphone : 04 76 57 45 37

Département Parole et Cognition
COMLEARN

Biographie

(à compléter)

Publications / Travaux


110 documents

Articles dans une revue36 documents

  • Lauriane Blavette, Sébastien Dacunha, Xavier Alameda-Pineda, Jeanne Cattoni, Anne-Sophie Rigaud, et al.. Integrating a Large Language Model Into a Socially Assistive Robot in a Hospital Geriatric Unit: Two-Wave Comparative Study on Performance, Engagement, and User Perceptions. JMIR Human Factors, 2025, 12, pp.e81936. ⟨10.2196/81936⟩. ⟨hal-05469007⟩
  • Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, et al.. Socially Pertinent Robots in Gerontological Healthcare. International Journal of Social Robotics, 2025, pp.s12369-025-01330-6. ⟨10.1007/s12369-025-01330-6⟩. ⟨hal-04737005⟩
  • Lauriane Blavette, Sébastien Dacunha, Xavier Alameda-Pineda, Daniel Hernández García, Sharon Gannot, et al.. Acceptability and Usability of a Socially Assistive Robot Integrated With a Large Language Model for Enhanced Human-Robot Interaction in a Geriatric Care Institution: Mixed Methods Evaluation. JMIR Human Factors, 2025, 12, ⟨10.2196/76496⟩. ⟨hal-05430362⟩
  • Mostafa Sadeghi, Jean-Eudes Ayilo, Romain Serizel, Xavier Alameda-Pineda. Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement. IEEE Signal Processing Letters, 2025, 32, pp.2694-2698. ⟨10.1109/LSP.2025.3583967⟩. ⟨hal-05135495⟩
  • Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz. Autoregressive GAN for Semantic Unconditional Head Motion Generation. ACM Transactions on Multimedia Computing, Communications and Applications, 2024, 21 (1), pp.14:1-14. ⟨10.1145/3635154⟩. ⟨hal-03833759v3⟩
  • Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier. A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning. Neural Networks, 2024, 172 (April), pp.106120. ⟨10.1016/j.neunet.2024.106120⟩. ⟨hal-04132316⟩
  • Mostafa Sadeghi, Xavier Alameda-Pineda, Radu Horaud. Unsupervised Performance Analysis of 3D Face Alignment with a Statistically Robust Confidence Test. Neurocomputing, 2024, 564, pp.1-16. ⟨10.1016/j.neucom.2023.126941⟩. ⟨hal-04265797⟩
  • Anand Ballou, Xavier Alameda-Pineda, Chris Reinke. Variational Meta Reinforcement Learning for Social Robotics. Applied Intelligence, 2023, 53, pp.27249-27268. ⟨10.1007/s10489-023-04691-5⟩. ⟨hal-03908505⟩
  • Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, et al.. Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Transactions on Multimedia, 2023, 25, pp.3841-3854. ⟨10.1109/TMM.2022.3167555⟩. ⟨hal-03626393⟩
  • Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, et al.. TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (6), pp.7820-7835. ⟨10.1109/TPAMI.2022.3225078⟩. ⟨hal-03906940⟩
  • 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⟩
  • Chris Reinke, Xavier Alameda-Pineda. Successor Feature Representations. Transactions on Machine Learning Research , 2023, pp.1-35. ⟨hal-03426870⟩
  • 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-03650569v3⟩
  • Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, et al.. Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (2), pp.2567-2581. ⟨10.1109/TPAMI.2022.3163806⟩. ⟨hal-03908664⟩
  • Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda. Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation. Transactions on Machine Learning Research , 2023, 12 (2023), pp.1-19. ⟨hal-03584014⟩
  • 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⟩
  • 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⟩
  • Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda. SocialInteractionGAN: Multi-person Interaction Sequence Generation. IEEE Transactions on Affective Computing, 2022, pp.2182-2192. ⟨10.1109/TAFFC.2022.3171719⟩. ⟨hal-03163467v2⟩
  • Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, et al.. Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44 (5), pp.2673-2688. ⟨10.1109/TPAMI.2020.3043781⟩. ⟨hal-03328687⟩
  • 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⟩
  • 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⟩
  • Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud. A Comprehensive Analysis of Deep Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (9), pp.2065-2081. ⟨10.1109/TPAMI.2019.2910523⟩. ⟨hal-01754839⟩
  • Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020, 28, pp.1788-1800. ⟨10.1109/TASLP.2020.3000593⟩. ⟨hal-02364900v3⟩
  • Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, et al.. Increasing Image Memorability with Neural Style Transfer. ACM Transactions on Multimedia Computing, Communications and Applications, 2019, 15 (2), ⟨10.1145/3311781⟩. ⟨hal-01858389⟩
  • Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud. Tracking Multiple Audio Sources with the Von Mises Distribution and Variational EM. IEEE Signal Processing Letters, 2019, 26 (6), pp.798 – 802. ⟨10.1109/LSP.2019.2908376⟩. ⟨hal-01969050⟩
  • Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud. Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. IEEE Journal of Selected Topics in Signal Processing, 2019, 13 (1), pp.88-103. ⟨10.1109/JSTSP.2019.2903472⟩. ⟨hal-01851985v2⟩
  • Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe. Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval. IEEE Transactions on Image Processing, 2018, 27 (9), pp. 4410-4421. ⟨10.1109/TIP.2018.2837381⟩. ⟨hal-01803694⟩
  • Diandra Fabre, Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Pierre Badin. Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract. Speech Communication, 2017, 93, pp.63 – 75. ⟨10.1016/j.specom.2017.08.002⟩. ⟨hal-01578315⟩
  • Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda. Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2017, 25 (3), pp.662-673. ⟨10.1109/TASLP.2017.2651398⟩. ⟨hal-01485540⟩
  • Sileye Ba, Xavier Alameda-Pineda, Alessio Xompero, Radu Horaud. An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes. Computer Vision and Image Understanding, 2016, 153, pp.64-76. ⟨10.1016/j.cviu.2016.07.006⟩. ⟨hal-01349763⟩
  • Israel Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud. EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38 (12), pp.2402 – 2415. ⟨10.1109/TPAMI.2016.2522425⟩. ⟨hal-01261374⟩
  • Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud. A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2016, 24 (8), pp.1408-1423. ⟨10.1109/TASLP.2016.2554286⟩. ⟨hal-01301762⟩
  • Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Gérard Bailly. Speaker-Adaptive Acoustic-Articulatory Inversion using Cascaded Gaussian Mixture Regression. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2015, 23 (12), pp.2246-2259. ⟨10.1109/TASLP.2015.2464702⟩. ⟨hal-01231197⟩
  • Xavier Alameda-Pineda, Radu Horaud. Vision-Guided Robot Hearing. The International Journal of Robotics Research, 2015, 34 (4-5), pp.437-456. ⟨10.1177/0278364914548050⟩. ⟨hal-00990766⟩
  • Xavier Alameda-Pineda, Radu Horaud. A Geometric Approach to Sound Source Localization from Time-Delay Estimates. IEEE Transactions on Audio, Speech and Language Processing, 2014, 22 (6), pp.1082-1095. ⟨10.1109/TASLP.2014.2317989⟩. ⟨hal-00910081v3⟩
  • Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc, Jan Cech, et al.. RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities. Journal on Multimodal User Interfaces, 2013, 7 (1-2), pp.79-91. ⟨10.1007/s12193-012-0111-y⟩. ⟨hal-00720734⟩

Communications dans un congrès64 documents

  • Samir Sadok, Xavier Alameda-Pineda. InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective. Interspeech 2026, ISCA – International Speech Communication Association, Sep 2026, Sydney (AUSTRALIA), Australia. ⟨hal-05788603⟩
  • Sofiene Kammoun, Simon Leglaive, Xavier Alameda-Pineda, Timo Gerkmann. Test-time adaptation for speech enhancement with an autoregressive speech prior. 19th International Workshop on Acoustic Signal Enhancement (IWAENC), Sep 2026, Cremona, Italy. ⟨hal-05737734⟩
  • Jordan Cosio, Dhimiter Pikuli, Thibaut Lopez, Xavier Alameda-Pineda, Pierre-Brice Wieber. LiSSEN: Generating Language-Grounded Safe Social Navigation in Crowded Environments. RO-MAN 2026 – 35th IEEE International Conference on Robot and Human Interactive Communication, Aug 2026, Kitakyushu, Japan. ⟨hal-05673120⟩
  • Sofiene Kammoun, Xavier Alameda-Pineda, Simon Leglaive. Modeling strategies for speech enhancement in the latent space of a neural audio codec. ICASSP 2025 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2026, Barcelona, Spain. ⟨hal-05335192v3⟩
  • Samir Sadok, Stéphane Lathuilière, Xavier Alameda-Pineda. Residual Tokens Enhance Masked Autoencoders For Speech Modeling. ICASSP 2026 – 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2026, Barcelona, France. pp.14447-14451, ⟨10.1109/ICASSP55912.2026.11464180⟩. ⟨hal-05489200⟩
  • Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Francesc Moreno-Noguer. MEGA: Masked Generative Autoencoder for Human Mesh Recovery. CVPR 2025 – IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2025, Nashville (Tennessee), United States. pp.5366-5378, ⟨10.1109/CVPR52734.2025.00505⟩. ⟨hal-04980723⟩
  • Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel, Xavier Alameda-Pineda. Diffusion-based Unsupervised Audio-visual Speech Enhancement. ICASSP 2025 – International Conference on Acoustics Speech and Signal Processing, IEEE, Apr 2025, Hyderabad, India. pp.1-5. ⟨hal-04718254v2⟩
  • Samir Sadok, Simon Leglaive, Laurent Girin, Gaël Richard, Xavier Alameda-Pineda. AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder. ICASSP 2025 – IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2025, Hyderabad, India. pp.1-5. ⟨hal-04891286⟩
  • Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Victor M. Brea, Manuel Mucientes. Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking. ECCV 24 – 18th European Conference on Computer Vision, Sep 2024, Milan, Italy. pp.448-466, ⟨10.1007/978-3-031-73464-9_27⟩. ⟨hal-04650044⟩
  • Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Antonio Agudo, Francesc Moreno-Noguer. VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space. ECCV 2024 – 18th European Conference on Computer Vision, Sep 2024, Milan, Italy. pp.471-490, ⟨10.1007/978-3-031-72943-0_27⟩. ⟨hal-04644818⟩
  • Dhimiter Pikuli, Jordan Cosio, Xavier Alameda-Pineda, Thierry Fraichard, Pierre-Brice Wieber. Navigating the Practical Pitfalls of Reinforcement Learning for Social Robot Navigation. RSS 2024 – Workshop “Unsolved Problems in Social Robot Navigation, Jul 2024, Delft, Netherlands. pp.1-9. ⟨hal-04639744⟩
  • Xavier Alameda-Pineda. Learning for Companion Robots: Preparation and Adaptation. CAp – RFIAP 2024 – Joint Conférences sur l’Apprentissage automatique and Reconnaissance des Formes, Image, Apprentissage et Perception, Jul 2024, Lille, France. ⟨hal-04634985⟩
  • Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel. A weighted-variance variational autoencoder model for speech enhancement. ICASSP 2024 – International Conference on Acoustics Speech and Signal Processing, IEEE, Apr 2024, Seoul (Korea), South Korea. pp.1-5, ⟨10.1109/ICASSP48485.2024.10446294⟩. ⟨hal-03833827v2⟩
  • Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier. Motion-DVAE: Unsupervised learning for fast human motion denoising. ACM SIGGRAPH Conference on Motion, Interaction and Games (ACM MIG), Nov 2023, Rennes, France. ⟨10.1145/3623264.3624454⟩. ⟨hal-04132314⟩
  • Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda. Unsupervised speech enhancement with deep dynamical generative speech and noise models. Interspeech 2023 – 24th Annual Conference of the International Speech Communication Association, ISCA, Aug 2023, Dublin, Ireland. pp.1-5. ⟨hal-04132312⟩
  • 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.3187-3197, ⟨10.1109/CVPR52729.2023.00311⟩. ⟨hal-04073630⟩
  • Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda. Speech Modeling with a Hierarchical Transformer Dynamical VAE. ICASSP 2023 – IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096751⟩. ⟨hal-04132313⟩
  • Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, et al.. Back to MLP: A Simple Baseline for Human Motion Prediction. WACV 2023 – IEEE Winter Conference on Applications of Computer Vision, Jan 2023, Waikoloa, United States. pp.1-11, ⟨10.1109/wacv56688.2023.00479⟩. ⟨hal-03906936⟩
  • Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, et al.. Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining. IJCAI 2022 – 31st International Joint Conference on Artificial Intelligence, Jul 2022, Vienna, Austria. pp.3643-3649, ⟨10.24963/ijcai.2022/506⟩. ⟨hal-03906947⟩
  • Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer. Multi-Person Extreme Motion Prediction. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. ⟨10.1109/CVPR52688.2022.01271⟩. ⟨hal-03295672⟩
  • Enrico Fini, Victor da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, et al.. Self-Supervised Models are Continual Learners. CVPR 2022 – IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. pp.9611-9620, ⟨10.1109/CVPR52688.2022.00940⟩. ⟨hal-03626342⟩
  • 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⟩
  • 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, 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⟩
  • Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Seguier. Learning and controlling the source-filter representation of speech with a variational autoencoder. CFA 2022 – 16ème Congrès Français d’Acoustique, Société Française d’Acoustique (SFA), Apr 2022, Marseille, France. ⟨hal-03603791⟩
  • David Emukpere, Xavier Alameda-Pineda, Chris Reinke. Successor Feature Neural Episodic Control. NeurIPS 2021 – 35th International Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada. pp.1-12. ⟨hal-03426874⟩
  • Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda. Deep Variational Generative Models for Audio-visual Speech Separation. MLSP 2021 – IEEE International Workshop on Machine Learning for Signal Processing, Oct 2021, Gold Coast, Australia. pp.1-6, ⟨10.1109/MLSP52302.2021.9596406⟩. ⟨hal-02930662⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda. PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation. WACV 2021 – IEEE Winter Conference on Applications of Computer vision, Jan 2021, Waikoloa, United States. pp.1-11, ⟨10.1109/WACV48630.2021.00284⟩. ⟨hal-02971754⟩
  • Yahui Liu, Marco de Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, et al.. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. 28th ACM International Conference on Multimedia, MM’20, Oct 2020, Seatle, United States. pp.1357-1365, ⟨10.1145/3394171.3413505⟩. ⟨hal-02930687⟩
  • Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, et al.. How To Train Your Deep Multi-Object Tracker. IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, WA, United States. pp.6786-6795, ⟨10.1109/CVPR42600.2020.00682⟩. ⟨hal-02534894⟩
  • Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. A Recurrent Variational Autoencoder for Speech Enhancement. ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2020, Barcelone (virtual), Spain. pp.371-375, ⟨10.1109/ICASSP40776.2020.9053164⟩. ⟨hal-02329000v2⟩
  • Mostafa Sadeghi, Xavier Alameda-Pineda. Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.7534-7538, ⟨10.1109/ICASSP40776.2020.9053730⟩. ⟨hal-02534911⟩
  • Xavier Alameda-Pineda, Soraya Arias, Yutong Ban, Guillaume Delorme, Laurent Girin, et al.. Audio-Visual Variational Fusion for Multi-Person Tracking with Robots. ACMMM 2019 – 27th ACM International Conference on Multimedia, Oct 2019, Nice, France. pp.1059-1061, ⟨10.1145/3343031.3350590⟩. ⟨hal-02354514⟩
  • Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud. A Cascaded Multiple-Speaker Localization and Tracking System. IWAENC – LOCATA Challenge Workshop – a satellite event of IWAENC 2018, Sep 2018, Tokyo, Japan. pp.1-5. ⟨hal-01957137⟩
  • Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud. DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. ECCV 2018 – European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.205-221, ⟨10.1007/978-3-030-01228-1_13⟩. ⟨hal-01851511⟩
  • Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, et al.. Every Smile is Unique: Landmark-Guided Diverse Smile Generation. IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salk Lake City, United States. pp.7083-7092, ⟨10.1109/CVPR.2018.00740⟩. ⟨hal-01759335⟩
  • Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking. ICASSP 2018 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada. pp.6553-6557, ⟨10.1109/ICASSP.2018.8462100⟩. ⟨hal-01718114⟩
  • Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, et al.. Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. Advances in Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.3961-3970. ⟨hal-01646112⟩
  • Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, et al.. MUSA2: First ACM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes. MM 2017 – ACM on Multimedia Conference, Oct 2017, Mountain View, CA, United States. pp.1974-1975, ⟨10.1145/3123266.3132057⟩. ⟨hal-01858382⟩
  • Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud. Exploiting the Complementarity of Audio and Visual Data in Multi-Speaker Tracking. ICCVW 2017 – IEEE International Conference on Computer Vision Workshops, Oct 2017, Venise, Italy. pp.446-454, ⟨10.1109/ICCVW.2017.60⟩. ⟨hal-01577965⟩
  • Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud, Sharon Gannot. Exploiting the Intermittency of Speech for Joint Separation and Diarization. WASPAA 2017 – IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2017, New Paltz, NY, United States. pp.41-45, ⟨10.1109/WASPAA.2017.8169991⟩. ⟨hal-01568813⟩
  • Yutong Ban, Xavier Alameda-Pineda, Fabien Badeig, Sileye Ba, Radu Horaud. Tracking a Varying Number of People with a Visually-Controlled Robotic Head. IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep 2017, Vancouver, Canada. pp.4144-4151, ⟨10.1109/IROS.2017.8206274⟩. ⟨hal-01542987v2⟩
  • Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci. Viraliency: Pooling Local Virality. IEEE Conference on Computer Vision and Pattern Recognition, Jul 2017, Honolulu, Hawaii, United States. pp.484-492, ⟨10.1109/CVPR.2017.59⟩. ⟨hal-01558137⟩
  • Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, et al.. How to Make an Image More Memorable? A Deep Style Transfer Approach. ICMR 2017 – ACM International Conference on Multimedia Retrieval, Jun 2017, Bucharest, Romania. pp.322-329, ⟨10.1145/3078971.3078986⟩. ⟨hal-01858385⟩
  • Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud. An EM Algorithm for Joint Source Separation and Diarisation of Multichannel Convolutive Speech Mixtures. ICASSP 2017 – IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. pp.16-20, ⟨10.1109/ICASSP.2017.7951789⟩. ⟨hal-01430761⟩
  • Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda. Adaptation of a Gaussian Mixture Regressor to a New Input Distribution: Extending the C-GMR Framework. LVA/ICA 2017 – 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. pp.459-468, ⟨10.1007/978-3-319-53547-0_43⟩. ⟨hal-01646098⟩
  • Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe. Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition. IEEE International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. pp.3228-3233, ⟨10.1109/ICPR.2016.7900132⟩. ⟨hal-01416419⟩
  • Yutong Ban, Sileye Ba, Xavier Alameda-Pineda, Radu Horaud. Tracking Multiple Persons Based on a Variational Bayesian Model. Computer Vision – ECCV 2016 Workshops, Oct 2016, Amsterdam, Netherlands. pp.52-67, ⟨10.1007/978-3-319-48881-3_5⟩. ⟨hal-01359559v2⟩
  • Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud. An Inverse-Gamma Source Variance Prior with Factorized Parameterization for Audio Source Separation. ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Mar 2016, Shanghai, China. pp.136-140, ⟨10.1109/ICASSP.2016.7471652⟩. ⟨hal-01253169⟩
  • Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud. A Variational EM Algorithm for the Separation of Moving Sound Sources. WASPAA 2015 – IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, IEEE Signal Processing Society, Oct 2015, New Paltz, NY, United States. pp.1-5, ⟨10.1109/WASPAA.2015.7336936⟩. ⟨hal-01169764v2⟩
  • Israel-Dejene Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes. Audio-Visual Speaker Localization via Weighted Clustering. IEEE Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France. pp.1-6, ⟨10.1109/MLSP.2014.6958874⟩. ⟨hal-01053732⟩
  • Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. Sound Representation and Classification Benchmark for Domestic Robots. ICRA 2014 – IEEE International Conference on Robotics and Automation, May 2014, Hong Kong, China. pp.6285-6292, ⟨10.1109/ICRA.2014.6907786⟩. ⟨hal-00952092⟩
  • Xavier Alameda-Pineda, Radu Horaud, Bernard Mourrain. The Geometry of Sound-Source Localization using Non-Coplanar microphone Arrays. WASPAA 2013 – IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2013, New Paltz, NY, United States. pp.1-4, ⟨10.1109/WASPAA.2013.6701896⟩. ⟨hal-00848876⟩
  • Jan Cech, Ravi Mittal, Antoine Deleforge, Jordi Sanchez-Riera, Xavier Alameda-Pineda, et al.. Active-Speaker Detection and Localization with Microphones and Cameras Embedded into a Robotic Head. Humanoids 2013 – IEEE-RAS International Conference on Humanoid Robots, IEEE Robotics Society, Oct 2013, Atlanta, GA, United States. pp.203-210, ⟨10.1109/HUMANOIDS.2013.7029977⟩. ⟨hal-00861465⟩
  • Xavier Alameda-Pineda, Jordi Sanchez-Riera, Radu Horaud. Benchmarking Methods for Audio-Visual Recognition Using Tiny Training Sets. ICASSP 2013 – IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2013, Vancouver, Canada. pp.3662-3666, ⟨10.1109/ICASSP.2013.6638341⟩. ⟨hal-00861645⟩
  • Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud. Sound-Event Recognition with a Companion Humanoid. Humanoids 2012 – IEEE International Conference on Humanoid Robotics, Nov 2012, Osaka, Japan. pp.104-111, ⟨10.1109/HUMANOIDS.2012.6651506⟩. ⟨hal-00768767⟩
  • Jordi Sanchez-Riera, Xavier Alameda-Pineda, Johannes Wienke, Antoine Deleforge, Soraya Arias, et al.. Online Multimodal Speaker Detection for Humanoid Robots. Humanoids 2012 – IEEE International Conference on Humanoid Robotics, Nov 2012, Osaka, Japan. pp.126-133, ⟨10.1109/HUMANOIDS.2012.6651509⟩. ⟨hal-00768764⟩
  • Jordi Sanchez-Riera, Xavier Alameda-Pineda, Radu Horaud. Audio-Visual Robot Command Recognition. ICMI 2012 – 14th ACM International Conference on Multimodal Interaction, Oct 2012, Santa-Monica, CA, United States. pp.371-378, ⟨10.1145/2388676.2388760⟩. ⟨hal-00768761⟩
  • Xavier Alameda-Pineda, Radu Horaud. Geometrically-constrained Robust Time Delay Estimation Using Non-coplanar Microphone Arrays. EUSIPCO 2012 – 20th European Signal Processing Conference, Aug 2012, Bucharest, Romania. pp.1309-1313. ⟨hal-00768763⟩
  • Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes. Finding Audio-Visual Events in Informal Social Gatherings. ACM/IEEE International Conference on Multimodal Interaction, Nov 2011, Alicante, Spain. pp.247-254, ⟨10.1145/2070481.2070527⟩. ⟨inria-00623489v2⟩

Ouvrages (y compris édition critique et traduction)2 documents

  • Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, et al.. Dynamical Variational Autoencoders: A Comprehensive Review. Now Publishers. , 15 (1-2), pp.197, 2021, Foundations and Trends® in Machine Learning, 978-1-68083-913-5. ⟨10.1561/2200000089⟩. ⟨hal-02926215v2⟩
  • Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe. Multimodal behavior analysis in the wild. Academic Press (Elsevier), 2018. ⟨hal-01858395⟩

Pré-publications, Documents de travail4 documents

  • Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke. Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs. 2023. ⟨hal-04342724⟩
  • Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda. A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation. 2023. ⟨hal-04149083v2⟩
  • Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, et al.. Variational Structured Attention Networks for Deep Visual Representation Learning. 2021. ⟨hal-03296152⟩
  • Mostafa Sadeghi, Sylvain Guy, Adrien Raison, Xavier Alameda-Pineda, Radu Horaud. Unsupervised Performance Analysis of 3D Face Alignment. 2020. ⟨hal-02543069v3⟩

Rapports2 documents

  • Xavier Alameda-Pineda, Radu Horaud. Geometrically-constrained time delay estimation-based sound source localisation (gTDESSL). [Research Report] RR-7988, INRIA. 2012, pp.28. ⟨hal-00704986v2⟩
  • Xavier Alameda-Pineda, Jordi Sanchez-Riera, Vojtech Franch, Johannes Wienke, Jan Cech, et al.. The Ravel data set. [Research Report] RR-7709, INRIA. 2011. ⟨inria-00614483v3⟩

Thèses1 document

  • Xavier Alameda-Pineda. Egocentric Audio-Visual Scene Analysis : a machine learning and signal processing approach. General Mathematics [math.GM]. Université de Grenoble, 2013. English. ⟨NNT : 2013GRENM024⟩. ⟨tel-00880117v2⟩

Habilitations à diriger des recherches1 document

  • Xavier Alameda-Pineda. Towards Probabilistic Generative Models for Socially Intelligent Robots. Computer Vision and Pattern Recognition [cs.CV]. Université Grenoble – Alpes, 2020. ⟨tel-03192456⟩

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