Xavier Alameda-Pineda
Xavier Alameda-Pineda
Research Scientist, Leader of the RobotLearn Team, Inria
Verified email at - Homepage
Cited by
Cited by
Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions
S Tulyakov, X Alameda-Pineda, E Ricci, L Yin, JF Cohn, N Sebe
Proceedings of the IEEE conference on computer vision and pattern …, 2016
A comprehensive analysis of deep regression
S Lathuilière, P Mesejo, X Alameda-Pineda, R Horaud
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2065-2081, 2019
How to train your deep multi-object tracker
Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
SALSA: A Novel Dataset for Multimodal Group Behaviour Analysis
X Alameda-Pineda, J Staiano, R Subramanian, L Batrinca, E Ricci, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (8), 1707-1720, 2016
EM algorithms for weighted-data clustering with application to audio-visual scene analysis
ID Gebru, X Alameda-Pineda, F Forbes, R Horaud
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
A geometric approach to sound source localization from time-delay estimates
X Alameda-Pineda, R Horaud
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (6), 1082 …, 2014
Analyzing free-standing conversational groups: A multimodal approach
X Alameda-Pineda, Y Yan, E Ricci, O Lanz, N Sebe
Proceedings of the 23rd ACM international conference on Multimedia, 5-14, 2015
Recognizing emotions from abstract paintings using non-linear matrix completion
X Alameda-Pineda, E Ricci, Y Yan, N Sebe
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Learning deep structured multi-scale features using attention-gated crfs for contour prediction
D Xu, W Ouyang, X Alameda-Pineda, E Ricci, X Wang, N Sebe
Advances in neural information processing systems 30, 2017
Tracking multiple persons based on a variational bayesian model
Y Ban, S Ba, X Alameda-Pineda, R Horaud
European Conference on Computer Vision, 52-67, 2016
A variational EM algorithm for the separation of time-varying convolutive audio mixtures
D Kounades-Bastian, L Girin, X Alameda-Pineda, S Gannot, R Horaud
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (8), 1408 …, 2016
Every Smile is Unique: Landmark-Guided Diverse Smile Generation
W Wei, X Alameda-Pineda, D Xu, E Ricci, P Fua, N Sebe
IEEE/CVF International Conference on Computer Vision and Pattern Recognition, 2018
An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes
S Ba, X Alameda-Pineda, A Xompero, R Horaud
Computer Vision and Image Understanding, 2016
Audio-visual speech enhancement using conditional variational auto-encoders
M Sadeghi, S Leglaive, X Alameda-Pineda, L Girin, R Horaud
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1788-1800, 2020
Dynamical variational autoencoders: A comprehensive review
L Girin, S Leglaive, X Bie, J Diard, T Hueber, X Alameda-Pineda
Foundations and Trends in Machine Learning 15 (1-2), 1-175, 2020
Sound representation and classification benchmark for domestic robots
J Maxime, X Alameda-Pineda, L Girin, R Horaud
2014 IEEE International Conference on Robotics and Automation (ICRA), 6285-6292, 2014
Sound-event recognition with a companion humanoid
M Janvier, X Alameda-Pineda, L Girin, R Horaud
2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2012
Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract
D Fabre, T Hueber, L Girin, X Alameda-Pineda, P Badin
Speech Communication 93, 63-75, 2017
Vision-guided robot hearing
X Alameda-Pineda, R Horaud
The International Journal of Robotics Research 34 (4-5), 437-456, 2015
RAVEL: An annotated corpus for training robots with audiovisual abilities
X Alameda-Pineda, J Sanchez-Riera, J Wienke, V Franc, J Čech, ...
Journal on Multimodal User Interfaces 7 (1), 79-91, 2013
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