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Xavier Alameda-Pineda

Showing results (1-10 of 14) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|February 11, 2021
Variational Inference and Learning of Piecewise Linear Dynamical SystemsXavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 22, 2019
Variational Bayesian Inference for Audio-Visual Tracking of Multiple SpeakersYutong Ban, Xavier Alameda-Pineda, Laurent Girin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 17, 2019
A Comprehensive Analysis of Deep RegressionStephane Lathuiliere, Pablo Mesejo, Xavier Alameda-Pineda, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2016
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene AnalysisIsrael Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 24, 2024
A multimodal dynamical variational autoencoder for audiovisual speech representation learningSamir Sadok, Simon Leglaive, Laurent Girin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 6, 2018
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image RetrievalDan Xu, Xavier Alameda-Pineda, Jingkuan Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 10, 2020
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise PredictionDan Xu, Xavier Alameda-Pineda, Wanli Ouyang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 28, 2022
TransCenter: Transformers With Dense Representations for Multiple-Object TrackingYihong Xu, Yutong Ban, Guillaume Delorme, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 2, 2022
Variational Structured Attention Networks for Deep Visual Representation LearningGuanglei Yang, Paolo Rota, Xavier Alameda-Pineda, et al.
JMIR Human Factors|December 3, 2025
Integrating a Large Language Model Into a Socially Assistive Robot in a Hospital Geriatric Unit: Two-Wave Comparative Study on Performance, Engagement, and User PerceptionsLauriane Blavette, Sébastien Dacunha, Xavier Alameda-Pineda, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|February 11, 2021
Variational Inference and Learning of Piecewise Linear Dynamical SystemsXavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 22, 2019
Variational Bayesian Inference for Audio-Visual Tracking of Multiple SpeakersYutong Ban, Xavier Alameda-Pineda, Laurent Girin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 17, 2019
A Comprehensive Analysis of Deep RegressionStephane Lathuiliere, Pablo Mesejo, Xavier Alameda-Pineda, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2016
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene AnalysisIsrael Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 24, 2024
A multimodal dynamical variational autoencoder for audiovisual speech representation learningSamir Sadok, Simon Leglaive, Laurent Girin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 6, 2018
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image RetrievalDan Xu, Xavier Alameda-Pineda, Jingkuan Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 10, 2020
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise PredictionDan Xu, Xavier Alameda-Pineda, Wanli Ouyang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 28, 2022
TransCenter: Transformers With Dense Representations for Multiple-Object TrackingYihong Xu, Yutong Ban, Guillaume Delorme, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 2, 2022
Variational Structured Attention Networks for Deep Visual Representation LearningGuanglei Yang, Paolo Rota, Xavier Alameda-Pineda, et al.
JMIR Human Factors|December 3, 2025
Integrating a Large Language Model Into a Socially Assistive Robot in a Hospital Geriatric Unit: Two-Wave Comparative Study on Performance, Engagement, and User PerceptionsLauriane Blavette, Sébastien Dacunha, Xavier Alameda-Pineda, et al.
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