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Xavier Alameda-Pineda

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Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders


Jun 23, 2021
Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin


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A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling


Jun 14, 2021
Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda

* Accepted to Interspeech 2021. arXiv admin note: text overlap with arXiv:2008.12595 

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Multi-Person Extreme Motion Prediction with Cross-Interaction Attention


May 20, 2021
Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer


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TransCenter: Transformers with Dense Queries for Multiple-Object Tracking


Mar 28, 2021
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

* 16 pages, 9 figures 

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SocialInteractionGAN: Multi-person Interaction Sequence Generation


Mar 10, 2021
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda


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Variational Structured Attention Networks for Deep Visual Representation Learning


Mar 05, 2021
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci


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Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement


Feb 08, 2021
Mostafa Sadeghi, Xavier Alameda-Pineda

* 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 

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Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction


Jan 08, 2021
Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe

* Regular paper accepted at TPAMI 2020. arXiv admin note: text overlap with arXiv:1801.00524 

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


Oct 11, 2020
Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda

* Accepted at WACV 2021 

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Dynamical Variational Autoencoders: A Comprehensive Review


Aug 28, 2020
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda


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Deep Variational Generative Models for Audio-visual Speech Separation


Aug 17, 2020
Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda


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


Aug 10, 2020
Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri

* Submitted to ACM MM '20, October 12-16, 2020, Seattle, WA, USA 

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Variational Inference and Learning of Piecewise-linear Dynamical Systems


Jun 02, 2020
Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud

* Submitted to IEEE Transactions on Neural Networks and Learning Systems 

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Unsupervised Performance Analysis of 3D Face Alignment


Apr 14, 2020
Mostafa Sadeghi, Sylvain Guy, Adrien Raison, Xavier Alameda-Pineda, Radu Horaud


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


Mar 21, 2020
Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda

* 27 pages, 17 figures 

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Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement


Dec 23, 2019
Mostafa Sadeghi, Xavier Alameda-Pineda


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


Nov 10, 2019
Mostafa Sadeghi, Xavier Alameda-Pineda


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A Recurrent Variational Autoencoder for Speech Enhancement


Oct 24, 2019
Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud


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DeepMOT: A Differentiable Framework for Training Multiple Object Trackers


Jun 15, 2019
Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud

* 11 pages, 5 figures 

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Camera Adversarial Transfer for Unsupervised Person Re-Identification


Apr 02, 2019
Guillaume Delorme, Xavier Alameda-Pineda, Stephane Lathuilière, Radu Horaud


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Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers


Sep 28, 2018
Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

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


Aug 28, 2018
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud

* accepted at ECCV 2018 

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Every Smile is Unique: Landmark-Guided Diverse Smile Generation


Mar 28, 2018
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe

* Accepted as a poster in Conference on Computer Vision and Pattern Recognition (CVPR), 2018 

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A Comprehensive Analysis of Deep Regression


Mar 22, 2018
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud

* submitted to TPAMI 

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Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval


Mar 05, 2018
Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe


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


Jan 01, 2018
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe

* Accepted at NIPS 2017 

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


Apr 06, 2017
Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

* Accepted at ACM ICMR 2017 

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Viraliency: Pooling Local Virality


Mar 15, 2017
Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci

* Accepted at IEEE CVPR 2017 

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