Xavier Alameda-Pineda

According to our database, Xavier Alameda-Pineda authored at least 125 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test.

Mostafa Sadeghi, Xavier Alameda-Pineda, Radu Horaud

Neurocomputing, January, 2024

Robust Audio-Visual Contrastive Learning for Proposal-Based Self-Supervised Sound Source Localization in Videos.

Hanyu Xuan, Zhiliang Wu, Jian Yang, Bo Jiang, Lei Luo, Xavier Alameda-Pineda, Yan Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2024

A multimodal dynamical variational autoencoder for audiovisual speech representation learning.

Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier

Neural Networks, 2024

Diffusion-based Unsupervised Audio-visual Speech Enhancement.

Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel, Xavier Alameda-Pineda

CoRR, 2024

MEGA: Masked Generative Autoencoder for Human Mesh Recovery.

Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Francesc Moreno-Noguer

CoRR, 2024

Socially Pertinent Robots in Gerontological Healthcare.

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

CoRR, 2024

A Weighted-Variance Variational Autoencoder Model for Speech Enhancement.

Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel

Proceedings of the IEEE International Conference on Acoustics, 2024

Lost and Found: Overcoming Detector Failures in Online Multi-object Tracking.

Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes

Proceedings of the Computer Vision - ECCV 2024, 2024

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space.

Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Antonio Agudo, Francesc Moreno-Noguer

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Variational meta reinforcement learning for social robotics.

Anand Ballou, Xavier Alameda-Pineda, Chris Reinke

Appl. Intell., November, 2023

TransCenter: Transformers With Dense Representations for Multiple-Object Tracking.

Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing.

Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda

Int. J. Comput. Vis., May, 2023

Learning and controlling the source-filter representation of speech with a variational autoencoder.

Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier

Speech Commun., March, 2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Multim., 2023

Successor Feature Representations.

Chris Reinke, Xavier Alameda-Pineda

Trans. Mach. Learn. Res., 2023

Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation.

Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda

Trans. Mach. Learn. Res., 2023

SocialInteractionGAN: Multi-Person Interaction Sequence Generation.

Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda

IEEE Trans. Affect. Comput., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs.

Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke

CoRR, 2023

A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation.

Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda

CoRR, 2023

Back to MLP: A Simple Baseline for Human Motion Prediction.

Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, Francesc Moreno-Noguer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Motion-DVAE: Unsupervised learning for fast human motion denoising.

Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier

Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023

Unsupervised speech enhancement with deep dynamical generative speech and noise models.

Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers.

Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Speech Modeling with a Hierarchical Transformer Dynamical VAE.

Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda

Proceedings of the IEEE International Conference on Acoustics, 2023

Semi-supervised learning made simple with self-supervised clustering.

Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Variational Inference and Learning of Piecewise Linear Dynamical Systems.

Xavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders.

Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction.

Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Weighted variance variational autoencoder for speech enhancement.

Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel

CoRR, 2022

Autoregressive GAN for Semantic Unconditional Head Motion Generation.

Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz

CoRR, 2022

Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining.

Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda

CoRR, 2022

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE.

Xiaoyu Bie, Wen Guo, Simon Leglaive, Laurent Girin, Francesc Moreno-Noguer, Xavier Alameda-Pineda

CoRR, 2022

Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder.

Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda

CoRR, 2022

M4MM '22: 1st International Workshop on Methodologies for Multimedia.

Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination.

Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Impact of Removing Head Movements on Audio-Visual Speech Enhancement.

Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar

Proceedings of the IEEE International Conference on Acoustics, 2022

A Proposal-based Paradigm for Self-supervised Sound Source Localization in Videos.

Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Person Extreme Motion Prediction.

Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.

Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement.

Mostafa Sadeghi, Xavier Alameda-Pineda

IEEE Trans. Signal Process., 2021

Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers.

Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Dynamical Variational Autoencoders: A Comprehensive Review.

Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda

Found. Trends Mach. Learn., 2021

Successor Feature Neural Episodic Control.

David Emukpere, Xavier Alameda-Pineda, Chris Reinke

CoRR, 2021

Xi-Learning: Successor Feature Transfer Learning for General Reward Functions.

Chris Reinke, Xavier Alameda-Pineda

CoRR, 2021

Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders.

Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin

CoRR, 2021

Multi-Person Extreme Motion Prediction with Cross-Interaction Attention.

Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer

CoRR, 2021

TransCenter: Transformers with Dense Queries for Multiple-Object Tracking.

Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

CoRR, 2021

Variational Structured Attention Networks for Deep Visual Representation Learning.

Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci

CoRR, 2021

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation.

Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Deep Variational Generative Models for Audio-Visual Speech Separation.

Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling.

Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement.

Mostafa Sadeghi, Xavier Alameda-Pineda

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe

IEEE Trans. Multim., 2020

Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders.

Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

IEEE ACM Trans. Audio Speech Lang. Process., 2020

A Comprehensive Analysis of Deep Regression.

Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Special Issue on Generating Realistic Visual Data of Human Behavior.

Xavier Alameda-Pineda, Elisa Ricci, Albert Ali Salah, Nicu Sebe, Shuicheng Yan

Int. J. Comput. Vis., 2020

GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling.

Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda

CoRR, 2020

Describe What to Change: A Text-guided Unsupervised Image-to-image Translation Approach.

Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

FATE/MM 20: 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in MultiMedia.

Xavier Alameda-Pineda, Miriam Redi, Jahna Otterbacher, Nicu Sebe, Shih-Fu Chang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification.

Guillaume Delorme, Yihong Xu, Stéphane Lathuilière, Radu Horaud, Xavier Alameda-Pineda

Proceedings of the 25th International Conference on Pattern Recognition, 2020

ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking.

Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders.

Mostafa Sadeghi, Xavier Alameda-Pineda

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Recurrent Variational Autoencoder for Speech Enhancement.

Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

How to Train Your Deep Multi-Object Tracker.

Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Probabilistic Generative Models for Socially Intelligent Robots.

Xavier Alameda-Pineda

, 2020

2019

Increasing Image Memorability with Neural Style Transfer.

Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

ACM Trans. Multim. Comput. Commun. Appl., 2019

Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes.

Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel D. Gosling

ACM Trans. Multim. Comput. Commun. Appl., 2019

Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM.

Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud

IEEE Signal Process. Lett., 2019

Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments.

Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

IEEE J. Sel. Top. Signal Process., 2019

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder.

Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

CoRR, 2019

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud

CoRR, 2019

Camera Adversarial Transfer for Unsupervised Person Re-Identification.

Guillaume Delorme, Xavier Alameda-Pineda, Stéphane Lathuilière, Radu Horaud

CoRR, 2019

FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia.

Xavier Alameda-Pineda, Miriam Redi, L. Elisa Celis, Nicu Sebe, Shih-Fu Chang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Audio-Visual Variational Fusion for Multi-Person Tracking with Robots.

Xavier Alameda-Pineda, Soraya Arias, Yutong Ban, Guillaume Delorme, Laurent Girin, Radu Horaud, Xiaofei Li, Bastien Mourgue, Guillaume Sarrazin

Proceedings of the 27th ACM International Conference on Multimedia, 2019

The Predicting Media Memorability Task at MediaEval 2019.

Mihai Gabriel Constantin, Bogdan Ionescu, Claire-Hélène Demarty, Ngoc Q. K. Duong, Xavier Alameda-Pineda, Mats Sjöberg

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018

Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval.

Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe

IEEE Trans. Image Process., 2018

A cascaded multiple-speaker localization and tracking system.

Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

CoRR, 2018

Every Smile is Unique: Landmark-Guided Diverse Smile Generation.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe

CoRR, 2018

EE-USAD: ACM MM 2018Workshop on UnderstandingSubjective Attributes of Data focus on Evoked Emotions.

Xavier Alameda-Pineda, Miriam Redi, Nicu Sebe, Shih-Fu Chang, Jiebo Luo

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking.

Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model.

Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the Computer Vision - ECCV 2018, 2018

Every Smile Is Unique: Landmark-Guided Diverse Smile Generation.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multimodal analysis of free-standing conversational groups.

Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

Proceedings of the Frontiers of Multimedia Research, 2018

2017

Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping.

Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract.

Diandra Fabre, Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Pierre Badin

Speech Commun., 2017

Exploiting the intermittency of speech for joint separation and diarization.

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud, Sharon Gannot

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction.

Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MUSA2: First ACM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes.

Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel D. Gosling

Proceedings of the 2017 ACM on Multimedia Conference, 2017

How to Make an Image More Memorable?: A Deep Style Transfer Approach.

Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Tracking a varying number of people with a visually-controlled robotic head.

Yutong Ban, Xavier Alameda-Pineda, Fabien Badeig, Sileye O. Ba, Radu Horaud

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking.

Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

An EM algorithm for joint source separation and diarisation of multichannel convolutive speech mixtures.

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Adaptation of a Gaussian Mixture Regressor to a New Input Distribution: Extending the C-GMR Framework.

Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Viraliency: Pooling Local Virality.

Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions.

Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures.

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud

IEEE ACM Trans. Audio Speech Lang. Process., 2016

EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis.

Israel Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud

IEEE Trans. Pattern Anal. Mach. Intell., 2016

SALSA: A Novel Dataset for Multimodal Group Behavior Analysis.

Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2016

An on-line variational Bayesian model for multi-person tracking from cluttered scenes.

Sileye O. Ba, Xavier Alameda-Pineda, Alessio Xompero, Radu Horaud

Comput. Vis. Image Underst., 2016

Academic Coupled Dictionary Learning for Sketch-based Image Retrieval.

Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Emerging Topics in Learning from Noisy and Missing Data.

Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multi-Paced Dictionary Learning for cross-domain retrieval and recognition.

Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

An inverse-gamma source variance prior with factorized parameterization for audio source separation.

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tracking Multiple Persons Based on a Variational Bayesian Model.

Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions.

Sergey Tulyakov, Xavier Alameda-Pineda, Elisa Ricci, Lijun Yin, Jeffrey F. Cohn, Nicu Sebe

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion.

Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Projective Unsupervised Flexible Embedding with Optimal Graph.

Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan, Nicu Sebe

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Speaker-Adaptive Acoustic-Articulatory Inversion Using Cascaded Gaussian Mixture Regression.

Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Gérard Bailly

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Vision-guided robot hearing.

Xavier Alameda-Pineda, Radu Horaud

Int. J. Robotics Res., 2015

A variational EM algorithm for the separation of moving sound sources.

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Analyzing Free-standing Conversational Groups: A Multimodal Approach.

Xavier Alameda-Pineda, Yan Yan, Elisa Ricci, Oswald Lanz, Nicu Sebe

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

A Geometric Approach to Sound Source Localization from Time-Delay Estimates.

Xavier Alameda-Pineda, Radu Horaud

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Audio-visual speaker localization via weighted clustering.

Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Sound representation and classification benchmark for domestic robots.

Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Egocentric Audio-Visual Scene Analysis. A Machine Learning and Signal Processing Approach. (Analyse Égocentrique de Scènes Audio-Visuelles. Une approche par Apprentissage Automatique et Traitement du Signal).

Xavier Alameda-Pineda

PhD thesis, 2013

RAVEL: an annotated corpus for training robots with audiovisual abilities.

Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc, Jan Cech, Kaustubh Kulkarni, Antoine Deleforge, Radu Horaud

J. Multimodal User Interfaces, 2013

The geometry of sound-source localization using non-coplanar microphone arrays.

Xavier Alameda-Pineda, Radu Horaud, Bernard Mourrain

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Benchmarking methods for audio-visual recognition using tiny training sets.

Xavier Alameda-Pineda, Jordi Sanchez-Riera, Radu Horaud

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Audio-visual robot command recognition: D-META'12 grand challenge.

Jordi Sanchez-Riera, Xavier Alameda-Pineda, Radu Horaud

Proceedings of the International Conference on Multimodal Interaction, 2012

Online multimodal speaker detection for humanoid robots.

Jordi Sanchez-Riera, Xavier Alameda-Pineda, Johannes Wienke, Antoine Deleforge, Soraya Arias, Jan Cech, Sebastian Wrede, Radu Horaud

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Sound-event recognition with a companion humanoid.

Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Geometrically-constrained robust time delay estimation using non-coplanar microphone arrays.

Xavier Alameda-Pineda, Radu Horaud

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Finding audio-visual events in informal social gatherings.

Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes

Proceedings of the 13th International Conference on Multimodal Interfaces, 2011

2008

Image compression with Generalized Lifting and partial knowledge of the signal pdf.

Julio C. Rolón, Philippe Salembier, Xavier Alameda-Pineda

Proceedings of the International Conference on Image Processing, 2008