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2020 – today
- 2023
[j29]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)- [j28]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) - [j27]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) - [j26]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) - [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 - [i56]Xiaoyu Lin, Xiaoyu Bie, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda:
Speech Modeling with a Hierarchical Transformer Dynamical VAE. CoRR abs/2303.09404 (2023) - [i55]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) - 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] - [i54]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) - [i53]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) - [i52]Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda:
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. CoRR abs/2202.09315 (2022) - [i51]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) - [i50]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) - [i49]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda:
Expression-preserving face frontalization improves visually assisted speech processing. CoRR abs/2204.02810 (2022) - [i48]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) - [i47]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) - [i46]Anand Ballou, Xavier Alameda-Pineda, Chris Reinke:
Variational Meta Reinforcement Learning for Social Robotics. CoRR abs/2206.03211 (2022) - [i45]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) - [i44]Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz:
Autoregressive GAN for Semantic Unconditional Head Motion Generation. CoRR abs/2211.00987 (2022) - [i43]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 - [i42]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) - [i41]Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. CoRR abs/2102.04144 (2021) - [i40]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) - [i39]Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda:
SocialInteractionGAN: Multi-person Interaction Sequence Generation. CoRR abs/2103.05916 (2021) - [i38]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) - [i37]Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention. CoRR abs/2105.08825 (2021) - [i36]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) - [i35]Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin:
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders. CoRR abs/2106.12271 (2021) - [i34]Chris Reinke, Xavier Alameda-Pineda:
Xi-Learning: Successor Feature Transfer Learning for General Reward Functions. CoRR abs/2110.15701 (2021) - [i33]David Emukpere, Xavier Alameda-Pineda, Chris Reinke:
Successor Feature Neural Episodic Control. CoRR abs/2111.03110 (2021) - [i32]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 - [i31]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) - [i30]Mostafa Sadeghi, Sylvain Guy, Adrien Raison, Xavier Alameda-Pineda, Radu Horaud:
Unsupervised Performance Analysis of 3D Face Alignment. CoRR abs/2004.06550 (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]