Xavier Alameda-Pineda

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 149

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Mostafa Sadeghi, Xavier Alameda-Pineda, Radu Horaud
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test. Neurocomputing 564 (2024)
Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier
A multimodal dynamical variational autoencoder for audiovisual speech representation learning. Neural Networks 172 (2024)
Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis G. Camara, Ohad Cohen, Alessandro Conti, Sébastien Dacunha, Christian Dondrup, Yoav Ellinson, Francesco Ferro, Sharon Gannot, Florian Gras, Nancie Gunson, Radu Horaud, Moreno D'Incà, Imad Kimouche, Séverin Lemaignan, Oliver Lemon, Cyril Liotard, Luca Marchionni, Mordehay Moradi, Tomás Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieinska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu
Socially Pertinent Robots in Gerontological Healthcare. CoRR (2024)
Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel
A Weighted-Variance Variational Autoencoder Model for Speech Enhancement. ICASSP (2024)
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Francesc Moreno-Noguer
MEGA: Masked Generative Autoencoder for Human Mesh Recovery. CoRR (2024)
Hanyu Xuan, Zhiliang Wu, Jian Yang, Bo Jiang, Lei Luo, Xavier Alameda-Pineda, Yan Yan
Robust Audio-Visual Contrastive Learning for Proposal-Based Self-Supervised Sound Source Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking. CoRR (2024)
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda
SocialInteractionGAN: Multi-Person Interaction Sequence Generation. IEEE Trans. Affect. Comput. 14 (3) (2023)
Anand Ballou, Xavier Alameda-Pineda, Chris Reinke
Variational meta reinforcement learning for social robotics. Appl. Intell. 53 (22) (2023)
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier
Motion-DVAE: Unsupervised learning for fast human motion denoising. MIG (2023)
Chris Reinke, Xavier Alameda-Pineda
Successor Feature Representations. Trans. Mach. Learn. Res. 2023 (2023)
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier
Motion-DVAE: Unsupervised learning for fast human motion denoising. CoRR (2023)
Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs. CoRR (2023)
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda
Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing. Int. J. Comput. Vis. 131 (5) (2023)
Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda
Speech Modeling with a Hierarchical Transformer Dynamical VAE. CoRR (2023)
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 Commun. 148 (2023)
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation. Trans. Mach. Learn. Res. 2023 (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CVPR (2023)
Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda
Unsupervised speech enhancement with deep dynamical generative speech and noise models. CoRR (2023)
Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. ICCV (Workshops) (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CoRR (2023)
Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation. CoRR (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda
A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation. CoRR (2023)
Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, Francesc Moreno-Noguer
Back to MLP: A Simple Baseline for Human Motion Prediction. WACV (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25 (2023)
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. CoRR (2023)
Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda
Unsupervised speech enhancement with deep dynamical generative speech and noise models. INTERSPEECH (2023)
Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. CoRR (2023)
Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda
Speech Modeling with a Hierarchical Transformer Dynamical VAE. ICASSP (2023)
Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier
A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning. CoRR (2023)
Anand Ballou, Xavier Alameda-Pineda, Chris Reinke
Variational Meta Reinforcement Learning for Social Robotics. CoRR (2022)
Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining. CoRR (2022)
Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, Francesc Moreno-Noguer
Back to MLP: A Simple Baseline for Human Motion Prediction. CoRR (2022)
Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz
Autoregressive GAN for Semantic Unconditional Head Motion Generation. CoRR (2022)
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar
The impact of removing head movements on audio-visual speech enhancement. CoRR (2022)
Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier
Learning and controlling the source-filter representation of speech with a variational autoencoder. CoRR (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR (2022)
Xiaoyu Bie, Wen Guo, Simon Leglaive, Laurent Girin, Francesc Moreno-Noguer, Xavier Alameda-Pineda
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE. CoRR (2022)
Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination. IJCAI (2022)
Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni
M4MM '22: 1st International Workshop on Methodologies for Multimedia. ACM Multimedia (2022)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CVPR (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. CoRR (2022)
Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel
Weighted variance variational autoencoder for speech enhancement. CoRR (2022)
Xavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud
Variational Inference and Learning of Piecewise Linear Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar
The Impact of Removing Head Movements on Audio-Visual Speech Enhancement. ICASSP (2022)
Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin
Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer
Multi-Person Extreme Motion Prediction. CVPR (2022)
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda
Expression-preserving face frontalization improves visually assisted speech processing. CoRR (2022)
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)
Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. CoRR (2022)
Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. CoRR (2021)
David Emukpere, Xavier Alameda-Pineda, Chris Reinke
Successor Feature Neural Episodic Control. CoRR (2021)
Mostafa Sadeghi, Xavier Alameda-Pineda
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. CoRR (2021)
Chris Reinke, Xavier Alameda-Pineda
Xi-Learning: Successor Feature Transfer Learning for General Reward Functions. CoRR (2021)
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR (2021)
Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders. CoRR (2021)
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci
Variational Structured Attention Networks for Deep Visual Representation Learning. CoRR (2021)
Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention. CoRR (2021)
Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling. CoRR (2021)
Mostafa Sadeghi, Xavier Alameda-Pineda
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement. IEEE Trans. Signal Process. 69 (2021)
Mostafa Sadeghi, Xavier Alameda-Pineda
Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement. ICASSP (2021)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CoRR (2021)
Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation. WACV (2021)
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
Dynamical Variational Autoencoders: A Comprehensive Review. Found. Trends Mach. Learn. 15 (1-2) (2021)
Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda
A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling. Interspeech (2021)
Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda
Deep Variational Generative Models for Audio-Visual Speech Separation. MLSP (2021)
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda
SocialInteractionGAN: Multi-person Interaction Sequence Generation. CoRR (2021)
Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
A Recurrent Variational Autoencoder for Speech Enhancement. ICASSP (2020)
Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda
ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking. ICPR Workshops (6) (2020)
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda
How to Train Your Deep Multi-Object Tracker. CVPR (2020)
Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. CoRR (2020)
Xavier Alameda-Pineda, Elisa Ricci, Albert Ali Salah, Nicu Sebe, Shuicheng Yan
Special Issue on Generating Realistic Visual Data of Human Behavior. Int. J. Comput. Vis. 128 (5) (2020)
Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Mostafa Sadeghi, Xavier Alameda-Pineda
Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders. ICASSP (2020)
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
Dynamical Variational Autoencoders: A Comprehensive Review. CoRR (2020)
Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling. CoRR (2020)
Mostafa Sadeghi, Sylvain Guy, Adrien Raison, Xavier Alameda-Pineda, Radu Horaud
Unsupervised Performance Analysis of 3D Face Alignment. CoRR (2020)
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe
Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets. IEEE Trans. Multim. 22 (11) (2020)
Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda
Deep Variational Generative Models for Audio-visual Speech Separation. CoRR (2020)
Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud
Variational Inference and Learning of Piecewise-linear Dynamical Systems. CoRR (2020)
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
A Comprehensive Analysis of Deep Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Guillaume Delorme, Yihong Xu, Stéphane Lathuilière, Radu Horaud, Xavier Alameda-Pineda
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification. ICPR (2020)
Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation. CoRR (2020)
Xavier Alameda-Pineda, Miriam Redi, Jahna Otterbacher, Nicu Sebe, Shih-Fu Chang
FATE/MM 20: 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in MultiMedia. ACM Multimedia (2020)
Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri
Describe What to Change: A Text-guided Unsupervised Image-to-image Translation Approach. ACM Multimedia (2020)
Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. CoRR (2019)
Guillaume Delorme, Xavier Alameda-Pineda, Stéphane Lathuilière, Radu Horaud
Camera Adversarial Transfer for Unsupervised Person Re-Identification. CoRR (2019)
Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. CoRR (2019)
Mihai Gabriel Constantin, Bogdan Ionescu, Claire-Hélène Demarty, Ngoc Q. K. Duong, Xavier Alameda-Pineda, Mats Sjöberg
The Predicting Media Memorability Task at MediaEval 2019. MediaEval (2019)
Xavier Alameda-Pineda, Soraya Arias, Yutong Ban, Guillaume Delorme, Laurent Girin, Radu Horaud, Xiaofei Li, Bastien Mourgue, Guillaume Sarrazin
Audio-Visual Variational Fusion for Multi-Person Tracking with Robots. ACM Multimedia (2019)
Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe
Increasing Image Memorability with Neural Style Transfer. ACM Trans. Multim. Comput. Commun. Appl. 15 (2) (2019)
Mostafa Sadeghi, Xavier Alameda-Pineda
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders. CoRR (2019)
Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel D. Gosling
Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes. ACM Trans. Multim. Comput. Commun. Appl. 15 (1s) (2019)
Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
A Recurrent Variational Autoencoder for Speech Enhancement. CoRR (2019)
Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. IEEE J. Sel. Top. Signal Process. 13 (1) (2019)
Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud
Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM. IEEE Signal Process. Lett. 26 (6) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xavier Alameda-Pineda