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Xavier Alameda-Pineda
Xavier Alameda-Pineda
Research Scientist, Leader of the RobotLearn Team, Inria
Verified email at inria.fr - Homepage
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Cited by
Year
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
3602016
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
3592019
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
266*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
2092020
Transcenter: Transformers with dense queries for multiple-object tracking
Y Xu, Y Ban, G Delorme, C Gan, D Rus, X Alameda-Pineda
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
192*2022
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
1672016
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
1432016
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
1262017
Self-supervised models are continual learners
E Fini, VGT Da Costa, X Alameda-Pineda, E Ricci, K Alahari, J Mairal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1222022
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
1182016
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
1172014
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
1042015
A recurrent variational autoencoder for speech enhancement
S Leglaive, X Alameda-Pineda, L Girin, R Horaud
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
902020
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
862016
Back to mlp: A simple baseline for human motion prediction
W Guo, Y Du, X Shen, V Lepetit, X Alameda-Pineda, F Moreno-Noguer
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
802023
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
742020
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
74*2018
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
672016
Describe what to change: A text-guided unsupervised image-to-image translation approach
Y Liu, M De Nadai, D Cai, H Li, X Alameda-Pineda, N Sebe, B Lepri
Proceedings of the 28th ACM International Conference on Multimedia, 1357-1365, 2020
582020
Variational bayesian inference for audio-visual tracking of multiple speakers
Y Ban, X Alameda-Pineda, L Girin, R Horaud
IEEE transactions on pattern analysis and machine intelligence 43 (5), 1761-1776, 2019
582019
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