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2020 – today
- 2024
[j37]Mostafa Sadeghi
, Xavier Alameda-Pineda, Radu Horaud:
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test. Neurocomputing 564: 126941 (2024)- [j36]Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier:
A multimodal dynamical variational autoencoder for audiovisual speech representation learning. Neural Networks 172: 106120 (2024) - [j35]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): 4896-4907 (2024) - [c63]Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes:
Lost and Found: Overcoming Detector Failures in Online Multi-object Tracking. ECCV (73) 2024: 448-466 - [c62]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 (52) 2024: 471-490 - [c61]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
A Weighted-Variance Variational Autoencoder Model for Speech Enhancement. ICASSP 2024: 12451-12455 - [i67]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 abs/2404.07560 (2024) - [i66]Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
MEGA: Masked Generative Autoencoder for Human Mesh Recovery. CoRR abs/2405.18839 (2024) - [i65]Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes:
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking. CoRR abs/2407.10151 (2024) - [i64]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel, Xavier Alameda-Pineda:
Diffusion-based Unsupervised Audio-visual Speech Enhancement. CoRR abs/2410.05301 (2024) - 2023
- [j34]Anand Ballou, Xavier Alameda-Pineda, Chris Reinke:
Variational meta reinforcement learning for social robotics. Appl. Intell. 53(22): 27249-27268 (2023) - [j33]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda:
Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing. Int. J. Comput. Vis. 131(5): 1122-1140 (2023) - [j32]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): 2567-2581 (2023) - [j31]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): 7820-7835 (2023) - [j30]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: 53-65 (2023) - [j29]Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda:
SocialInteractionGAN: Multi-Person Interaction Sequence Generation. IEEE Trans. Affect. Comput. 14(3): 2182-2192 (2023) - [j28]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) - [j27]Chris Reinke, Xavier Alameda-Pineda:
Successor Feature Representations. Trans. Mach. Learn. Res. 2023 (2023) - [j26]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: 3841-3854 (2023) - [c60]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: 3187-3197 - [c59]Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda:
Speech Modeling with a Hierarchical Transformer Dynamical VAE. ICASSP 2023: 1-5 - [c58]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: 3577-3586 - [c57]Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda:
Unsupervised speech enhancement with deep dynamical generative speech and noise models. INTERSPEECH 2023: 5102-5106 - [c56]Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier:
Motion-DVAE: Unsupervised learning for fast human motion denoising. MIG 2023: 3:1-3:8 - [c55]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: 4798-4808 - [i63]Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda:
Speech Modeling with a Hierarchical Transformer Dynamical VAE. CoRR abs/2303.09404 (2023) - [i62]Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier:
A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning. CoRR abs/2305.03582 (2023) - [i61]Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda, Renaud Séguier:
Motion-DVAE: Unsupervised learning for fast human motion denoising. CoRR abs/2306.05846 (2023) - [i60]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 abs/2306.07483 (2023) - [i59]Xiaoyu Lin, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda:
Unsupervised speech enhancement with deep dynamical generative speech and noise models. CoRR abs/2306.07820 (2023) - [i58]Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda:
A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation. CoRR abs/2307.03270 (2023) - [i57]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 abs/2308.09610 (2023) - [i56]Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke:
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs. CoRR abs/2311.16148 (2023) - [i55]Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda:
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation. CoRR abs/2312.04167 (2023) - [i54]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 abs/2312.08291 (2023) - 2022
- [j25]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): 2673-2688 (2022) - [j24]Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin:
Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2993-3007 (2022) - [j23]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): 3753-3764 (2022) - [c54]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: 1019-1028 - [c53]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CVPR 2022: 9611-9620 - [c52]Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
Multi-Person Extreme Motion Prediction. CVPR 2022: 13043-13054 - [c51]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: 7302-7306 - [c50]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: 3643-3649 - [c49]Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni:
M4MM '22: 1st International Workshop on Methodologies for Multimedia. ACM Multimedia 2022: 7394-7396 - [e2]João Magalhães, Alberto Del Bimbo, Shin'ichi Satoh, Nicu Sebe, Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni:
MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022. ACM 2022, ISBN 978-1-4503-9203-7 [contents] - [i53]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 abs/2202.00432 (2022) - [i52]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 abs/2202.00538 (2022) - [i51]Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda:
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. CoRR abs/2202.09315 (2022) - [i50]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 abs/2203.14098 (2022) - [i49]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 abs/2204.01565 (2022) - [i48]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda:
Expression-preserving face frontalization improves visually assisted speech processing. CoRR abs/2204.02810 (2022) - [i47]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 abs/2204.07075 (2022) - [i46]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 abs/2204.12366 (2022) - [i45]Anand Ballou, Xavier Alameda-Pineda, Chris Reinke:
Variational Meta Reinforcement Learning for Social Robotics. CoRR abs/2206.03211 (2022) - [i44]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 abs/2207.01567 (2022) - [i43]Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz:
Autoregressive GAN for Semantic Unconditional Head Motion Generation. CoRR abs/2211.00987 (2022) - [i42]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
Weighted variance variational autoencoder for speech enhancement. CoRR abs/2211.00990 (2022) - 2021
- [j22]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): 1-175 (2021) - [j21]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): 1761-1776 (2021) - [j20]Mostafa Sadeghi, Xavier Alameda-Pineda:
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement. IEEE Trans. Signal Process. 69: 1899-1909 (2021) - [c48]Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement. ICASSP 2021: 6663-6667 - [c47]Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda:
A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling. Interspeech 2021: 46-50 - [c46]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-Visual Speech Separation. MLSP 2021: 1-6 - [c45]Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda:
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation. WACV 2021: 2795-2805 - [i41]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 abs/2101.02843 (2021) - [i40]Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. CoRR abs/2102.04144 (2021) - [i39]Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci:
Variational Structured Attention Networks for Deep Visual Representation Learning. CoRR abs/2103.03510 (2021) - [i38]Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda:
SocialInteractionGAN: Multi-person Interaction Sequence Generation. CoRR abs/2103.05916 (2021) - [i37]Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR abs/2103.15145 (2021) - [i36]Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention. CoRR abs/2105.08825 (2021) - [i35]Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda:
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling. CoRR abs/2106.06500 (2021) - [i34]Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin:
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders. CoRR abs/2106.12271 (2021) - [i33]Chris Reinke, Xavier Alameda-Pineda:
Xi-Learning: Successor Feature Transfer Learning for General Reward Functions. CoRR abs/2110.15701 (2021) - [i32]David Emukpere, Xavier Alameda-Pineda, Chris Reinke:
Successor Feature Neural Episodic Control. CoRR abs/2111.03110 (2021) - [i31]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CoRR abs/2112.04215 (2021) - 2020
- [b2]Xavier Alameda-Pineda:
Towards Probabilistic Generative Models for Socially Intelligent Robots. Grenoble Alpes University, France, 2020 - [j19]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): 1376-1377 (2020) - [j18]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
A Comprehensive Analysis of Deep Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2065-2081 (2020) - [j17]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: 1788-1800 (2020) - [j16]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): 2808-2819 (2020) - [c44]Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda:
How to Train Your Deep Multi-Object Tracker. CVPR 2020: 6786-6795 - [c43]Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. ICASSP 2020: 371-375 - [c42]Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders. ICASSP 2020: 7534-7538 - [c41]Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda:
ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking. ICPR Workshops (6) 2020: 803-818 - [c40]Guillaume Delorme, Yihong Xu, Stéphane Lathuilière, Radu Horaud, Xavier Alameda-Pineda:
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification. ICPR 2020: 4428-4435 - [c39]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: 1357-1365 - [c38]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: 4761-4762 - [i30]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 abs/2003.06788 (2020) - [i29]Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud:
Variational Inference and Learning of Piecewise-linear Dynamical Systems. CoRR abs/2006.01668 (2020) - [i28]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 abs/2008.04200 (2020) - [i27]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-visual Speech Separation. CoRR abs/2008.07191 (2020) - [i26]Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda:
Dynamical Variational Autoencoders: A Comprehensive Review. CoRR abs/2008.12595 (2020) - [i25]Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda:
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation. CoRR abs/2010.05302 (2020)
2010 – 2019
- 2019
- [j15]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): 88-103 (2019) - [j14]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): 798-802 (2019) - [j13]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): 11:1-11:3 (2019) - [j12]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): 42:1-42:22 (2019) - [c37]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 - [c36]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: 1059-1061 - [c35]Xavier Alameda-Pineda, Miriam Redi, L. Elisa Celis, Nicu Sebe, Shih-Fu Chang:
FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia. ACM Multimedia 2019: 2728-2729 - [i24]Guillaume Delorme, Xavier Alameda-Pineda, Stéphane Lathuilière, Radu Horaud:
Camera Adversarial Transfer for Unsupervised Person Re-Identification. CoRR abs/1904.01308 (2019) - [i23]Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud:
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. CoRR abs/1906.06618 (2019) - [i22]Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. CoRR abs/1908.02590 (2019) - [i21]Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. CoRR abs/1910.10942 (2019) - [i20]Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders. CoRR abs/1911.03930 (2019) - [i19]Mostafa Sadeghi, Xavier Alameda-Pineda:
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement. CoRR abs/1912.10647 (2019) - 2018
- [j11]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval. IEEE Trans. Image Process. 27(9): 4410-4421 (2018) - [c34]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe:
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation. CVPR 2018: 7083-7092 - [c33]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. ECCV (5) 2018: 205-221 - [c32]Yutong Ban, Xiaofei Li, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Accounting for Room Acoustics in Audio-Visual Multi-Speaker Tracking. ICASSP 2018: 6553-6557 - [c31]Xavier Alameda-Pineda, Miriam Redi, Nicu Sebe, Shih-Fu Chang, Jiebo Luo:
EE-USAD: ACM MM 2018Workshop on UnderstandingSubjective Attributes of Data focus on Evoked Emotions. ACM Multimedia 2018: 2127-2128 - [p2]Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multimodal analysis of free-standing conversational groups. Frontiers of Multimedia Research 2018: 51-74 - [i18]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. CoRR abs/1801.00524 (2018) - [i17]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Every Smile is Unique: Landmark-Guided Diverse Smile Generation. CoRR abs/1802.01873 (2018) - [i16]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval. CoRR abs/1803.01504 (2018) - [i15]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
A Comprehensive Analysis of Deep Regression. CoRR abs/1803.08450 (2018) - [i14]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. CoRR abs/1808.09211 (2018) - [i13]Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. CoRR abs/1809.10936 (2018) - [i12]Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. CoRR abs/1809.10961 (2018) - [i11]Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
A cascaded multiple-speaker localization and tracking system. CoRR abs/1812.04417 (2018) - [i10]Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud:
Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM. CoRR abs/1812.08246 (2018) - 2017
- [j10]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 Commun. 93: 63-75 (2017) - [j9]Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda:
Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 662-673 (2017) - [c30]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CVPR 2017: 484-492 - [c29]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: 459-468 - [c28]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: 16-20 - [c27]Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking. ICCV Workshops 2017: 446-454 - [c26]Yutong Ban, Xavier Alameda-Pineda, Fabien Badeig, Sileye O. Ba, Radu Horaud:
Tracking a varying number of people with a visually-controlled robotic head. IROS 2017: 4144-4151 - [c25]Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
How to Make an Image More Memorable?: A Deep Style Transfer Approach. ICMR 2017: 322-329 - [c24]Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel D. Gosling:
MUSA2: First ACM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes. ACM Multimedia 2017: 1974-1975 - [c23]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. NIPS 2017: 3961-3970 - [c22]Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud, Sharon Gannot:
Exploiting the intermittency of speech for joint separation and diarization. WASPAA 2017: 41-45 - [p1]Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions. Group and Crowd Behavior for Computer Vision 2017: 321-340 - [e1]Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel D. Gosling:
Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, MUSA2@MM 2017, Mountain View, CA, USA, October 27, 2017. ACM 2017, ISBN 978-1-4503-5509-4 [contents] - [i9]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CoRR abs/1703.03937 (2017) - [i8]Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
How to Make an Image More Memorable? A Deep Style Transfer Approach. CoRR abs/1704.01745 (2017) - 2016
- [j8]Sileye O. Ba, Xavier Alameda-Pineda, Alessio Xompero, Radu Horaud:
An on-line variational Bayesian model for multi-person tracking from cluttered scenes. Comput. Vis. Image Underst. 153: 64-76 (2016) - [j7]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1707-1720 (2016) - [j6]Israel Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud:
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2402-2415 (2016) - [j5]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 Trans. Audio Speech Lang. Process. 24(8): 1408-1423 (2016) - [c21]Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan, Nicu Sebe:
Projective Unsupervised Flexible Embedding with Optimal Graph. BMVC 2016 - [c20]Sergey Tulyakov, Xavier Alameda-Pineda, Elisa Ricci, Lijun Yin, Jeffrey F. Cohn, Nicu Sebe:
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions. CVPR 2016: 2396-2404 - [c19]Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe:
Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion. CVPR 2016: 5240-5248 - [c18]Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud:
Tracking Multiple Persons Based on a Variational Bayesian Model. ECCV Workshops (2) 2016: 52-67 - [c17]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: 136-140 - [c16]Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition. ICPR 2016: 3228-3233 - [c15]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Academic Coupled Dictionary Learning for Sketch-based Image Retrieval. ACM Multimedia 2016: 1326-1335 - [c14]Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang:
Emerging Topics in Learning from Noisy and Missing Data. ACM Multimedia 2016: 1469-1470 - 2015
- [j4]Xavier Alameda-Pineda, Radu Horaud:
Vision-guided robot hearing. Int. J. Robotics Res. 34(4-5): 437-456 (2015) - [j3]Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Gérard Bailly:
Speaker-Adaptive Acoustic-Articulatory Inversion Using Cascaded Gaussian Mixture Regression. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2246-2259 (2015) - [c13]Xavier Alameda-Pineda, Yan Yan, Elisa Ricci, Oswald Lanz, Nicu Sebe:
Analyzing Free-standing Conversational Groups: A Multimodal Approach. ACM Multimedia 2015: 5-14 - [c12]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: 1-5 - [i7]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. CoRR abs/1506.06882 (2015) - [i6]Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud:
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. CoRR abs/1509.01509 (2015) - [i5]Sileye O. Ba, Xavier Alameda-Pineda, Alessio Xompero, Radu Horaud:
An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes. CoRR abs/1509.01520 (2015) - [i4]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. CoRR abs/1510.04595 (2015) - 2014
- [j2]Xavier Alameda-Pineda, Radu Horaud:
A Geometric Approach to Sound Source Localization from Time-Delay Estimates. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1082-1095 (2014) - [c11]Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Sound representation and classification benchmark for domestic robots. ICRA 2014: 6285-6292 - [c10]Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes:
Audio-visual speaker localization via weighted clustering. MLSP 2014: 1-6 - [i3]Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Sound Representation and Classification Benchmark for Domestic Robots. CoRR abs/1402.3689 (2014) - 2013
- [b1]Xavier Alameda-Pineda:
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). Joseph Fourier University, Grenoble, France, 2013 - [j1]Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc, Jan Cech, Kaustubh Kulkarni, Antoine Deleforge, Radu Horaud:
RAVEL: an annotated corpus for training robots with audiovisual abilities. J. Multimodal User Interfaces 7(1-2): 79-91 (2013) - [c9]Xavier Alameda-Pineda, Jordi Sanchez-Riera, Radu Horaud:
Benchmarking methods for audio-visual recognition using tiny training sets. ICASSP 2013: 3662-3666 - [c8]Xavier Alameda-Pineda, Radu Horaud, Bernard Mourrain:
The geometry of sound-source localization using non-coplanar microphone arrays. WASPAA 2013: 1-4 - [c7]Xavier Alameda-Pineda, Radu Horaud, Bernard Mourrain:
The geometry of sound-source localization using non-coplanar microphone arrays. WASPAA 2013: 1-4 - [i2]Xavier Alameda-Pineda, Radu Horaud:
A Geometric Approach to Sound Source Localization from Time-Delay Estimates. CoRR abs/1311.1047 (2013) - [i1]Xavier Alameda-Pineda, Radu Horaud:
Vision-Guided Robot Hearing. CoRR abs/1311.2460 (2013) - 2012
- [c6]Xavier Alameda-Pineda, Radu Horaud:
Geometrically-constrained robust time delay estimation using non-coplanar microphone arrays. EUSIPCO 2012: 1309-1313 - [c5]Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Sound-event recognition with a companion humanoid. Humanoids 2012: 104-111 - [c4]Jordi Sanchez-Riera, Xavier Alameda-Pineda, Johannes Wienke, Antoine Deleforge, Soraya Arias, Jan Cech, Sebastian Wrede, Radu Horaud:
Online multimodal speaker detection for humanoid robots. Humanoids 2012: 126-133 - [c3]Jordi Sanchez-Riera, Xavier Alameda-Pineda, Radu Horaud:
Audio-visual robot command recognition: D-META'12 grand challenge. ICMI 2012: 371-378 - 2011
- [c2]Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes:
Finding audio-visual events in informal social gatherings. ICMI 2011: 247-254
2000 – 2009
- 2008
- [c1]Julio C. Rolón, Philippe Salembier, Xavier Alameda-Pineda:
Image compression with Generalized Lifting and partial knowledge of the signal pdf. ICIP 2008: 129-132
Coauthor Index
Radu Horaud
aka: Radu Patrice Horaud
aka: Radu Patrice Horaud
[j37] [i67] [j33] [j23] [c51] [i52] [i48] [j21] [j18] [j17] [c44] [c43] [c40] [i29] [j15] [j14] [c36] [i24] [i23] [i22] [i21] [c33] [c32] [i15] [i14] [i13] [i12] [i11] [i10] [c28] [c27] [c26] [c22] [j8] [j6] [j5] [c18] [c17] [j4] [c12] [i6] [i5] [i4] [j2] [c11] [c10] [i3] [j1] [c9] [c8] [c7] [i2] [i1] [c6] [c5] [c4] [c3] [c2]
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