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Radu Horaud
Radu Patrice Horaud
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- affiliation: INRIA, France
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2020 – today
- 2024
- [j80]Mostafa Sadeghi, Xavier Alameda-Pineda, Radu Horaud:
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test. Neurocomputing 564: 126941 (2024) - [i70]Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis G. Camara, Ohad Cohen, Alessandro Conti, Sébastien Dacunha, Christian Dondrup, Yoav Ellinson, Francesco Ferro, Sharon Gannot, Florian Gras, Nancie Gunson, Radu Horaud, Moreno D'Incà, Imad Kimouche, Séverin Lemaignan, Oliver Lemon, Cyril Liotard, Luca Marchionni, Mordehay Moradi, Tomás Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieinska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu:
Socially Pertinent Robots in Gerontological Healthcare. CoRR abs/2404.07560 (2024) - 2023
- [j79]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) - [c142]Timothée Dhaussy, Bassam Jabaian, Fabrice Lefèvre, Radu Horaud:
Audio-Visual Speaker Diarization in the Framework of Multi-User Human-Robot Interaction. ICASSP 2023: 1-5 - [i69]Nicolas Andreff, Radu Horaud, Bernard Espiau:
Robot Hand-Eye Calibration using Structure-from-Motion. CoRR abs/2311.11808 (2023) - [i68]Fadi Dornaika, Radu Horaud:
Simultaneous Robot-World and Hand-Eye Calibration. CoRR abs/2311.11818 (2023) - [i67]Radu Horaud, Humberto Sossa:
Polyhedral Object Recognition by Indexing. CoRR abs/2311.12641 (2023) - [i66]Radu Horaud, Fadi Dornaika:
Hand-Eye Calibration. CoRR abs/2311.12655 (2023) - [i65]Radu Horaud, Fadi Dornaika, Bernard Espiau:
Visually Guided Object Grasping. CoRR abs/2311.12660 (2023) - 2022
- [j78]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) - [c141]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 - [i64]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) - [i63]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda:
Expression-preserving face frontalization improves visually assisted speech processing. CoRR abs/2204.02810 (2022) - 2021
- [j77]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) - [c140]Xiang Hao, Xiangdong Su, Radu Horaud, Xiaofei Li:
Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement. ICASSP 2021: 6633-6637 - [c139]Zhiqi Kang, Radu Horaud, Mostafa Sadeghi:
Robust Face Frontalization For Visual Speech Recognition*. ICCVW 2021: 2485-2495 - [i62]Avinash Sharma, Radu Horaud, Diana Mateus:
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching. CoRR abs/2106.11166 (2021) - [i61]Vineet Gandhi, Jan Cech, Radu Horaud:
High-Resolution Depth Maps Based on TOF-Stereo Fusion. CoRR abs/2107.14688 (2021) - 2020
- [j76]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) - [j75]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) - [c138]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 - [c137]Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. ICASSP 2020: 371-375 - [c136]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 - [c135]Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. ICPR 2020: 4851-4856 - [c134]Xiaofei Li, Radu Horaud:
Online Monaural Speech Enhancement Using Delayed Subband LSTM. INTERSPEECH 2020: 2462-2466 - [i60]Xiaofei Li, Radu Horaud:
Online Monaural Speech Enhancement Using Delayed Subband LSTM. CoRR abs/2005.05037 (2020) - [i59]Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud:
Variational Inference and Learning of Piecewise-linear Dynamical Systems. CoRR abs/2006.01668 (2020) - [i58]Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. CoRR abs/2009.11204 (2020) - [i57]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud:
Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks. CoRR abs/2010.13676 (2020) - [i56]Xiang Hao, Xiangdong Su, Radu Horaud, Xiaofei Li:
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement. CoRR abs/2010.15508 (2020) - [i55]Xiaofei Li, Laurent Girin, Fabien Badeig, Radu Horaud:
Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function. CoRR abs/2012.03574 (2020) - [i54]Radu Horaud, Matti Niskanen, Guillaume Dewaele, Edmond Boyer:
Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals. CoRR abs/2012.04514 (2020) - [i53]Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. CoRR abs/2012.04951 (2020) - [i52]Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang:
Rigid and Articulated Point Registration with Expectation Conditional Maximization. CoRR abs/2012.05191 (2020) - [i51]Andrei Zaharescu, Edmond Boyer, Radu Horaud:
Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction. CoRR abs/2012.05536 (2020) - [i50]Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Image Matching with Scale Adjustment. CoRR abs/2012.05582 (2020) - [i49]Miles E. Hansard, Radu Horaud:
Cyclopean Geometry of Binocular Vision. CoRR abs/2012.06363 (2020) - [i48]Georgios D. Evangelidis, Miles E. Hansard, Radu Horaud:
Fusion of Range and Stereo Data for High-Resolution Scene-Modeling. CoRR abs/2012.06769 (2020) - [i47]Radu Horaud, Miles E. Hansard, Georgios Evangelidis, Clément Ménier:
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies. CoRR abs/2012.06772 (2020) - [i46]Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration. CoRR abs/2012.07340 (2020) - [i45]Andrei Zaharescu, Radu Horaud:
Robust Factorization Methods Using a Gaussian/Uniform Mixture Model. CoRR abs/2012.08243 (2020) - [i44]Miles E. Hansard, Radu Horaud:
A Differential Model of the Complex Cell. CoRR abs/2012.09027 (2020)
2010 – 2019
- 2019
- [j74]Xiaofei Li, Laurent Girin, Radu Horaud:
Expectation-maximisation for speech source separation using convolutive transfer function. CAAI Trans. Intell. Technol. 4(1): 47-53 (2019) - [j73]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) - [j72]Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction. Pattern Recognit. Lett. 118: 61-71 (2019) - [j71]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) - [j70]Xiaofei Li, Simon Leglaive, Laurent Girin, Radu Horaud:
Audio-Noise Power Spectral Density Estimation Using Long Short-Term Memory. IEEE Signal Process. Lett. 26(6): 918-922 (2019) - [j69]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function. IEEE ACM Trans. Audio Speech Lang. Process. 27(3): 645-659 (2019) - [j68]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Online Dereverberation Based on Spectral Magnitude Inverse Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1365-1377 (2019) - [c133]Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. FG 2019: 1-8 - [c132]Simon Leglaive, Laurent Girin, Radu Horaud:
Semi-supervised Multichannel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization. ICASSP 2019: 101-105 - [c131]Simon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu Horaud:
Speech Enhancement with Variational Autoencoders and Alpha-stable Distributions. ICASSP 2019: 541-545 - [c130]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 - [c129]Xiaofei Li, Radu Horaud:
Multichannel Speech Enhancement Based On Time-Frequency Masking Using Subband Long Short-Term Memory. WASPAA 2019: 298-302 - [i43]Simon Leglaive, Laurent Girin, Radu Horaud:
A variance modeling framework based on variational autoencoders for speech enhancement. CoRR abs/1902.01605 (2019) - [i42]Simon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu Horaud:
Speech enhancement with variational autoencoders and alpha-stable distributions. CoRR abs/1902.03926 (2019) - [i41]Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. CoRR abs/1902.10953 (2019) - [i40]Guillaume Delorme, Xavier Alameda-Pineda, Stéphane Lathuilière, Radu Horaud:
Camera Adversarial Transfer for Unsupervised Person Re-Identification. CoRR abs/1904.01308 (2019) - [i39]Xiaofei Li, Simon Leglaive, Laurent Girin, Radu Horaud:
Audio-noise Power Spectral Density Estimation Using Long Short-term Memory. CoRR abs/1904.05166 (2019) - [i38]Xiaofei Li, Laurent Girin, Radu Horaud:
Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function. CoRR abs/1904.05249 (2019) - [i37]Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud:
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. CoRR abs/1906.06618 (2019) - [i36]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) - [i35]Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. CoRR abs/1910.10942 (2019) - [i34]Xiaofei Li, Radu Horaud:
Narrow-band Deep Filtering for Multichannel Speech Enhancement. CoRR abs/1911.10791 (2019) - 2018
- [j67]Israel D. Gebru, Sileye O. Ba, Xiaofei Li, Radu Horaud:
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1086-1099 (2018) - [j66]Georgios D. Evangelidis, Radu Horaud:
Joint Alignment of Multiple Point Sets with Batch and Incremental Expectation-Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1397-1410 (2018) - [j65]Benoit Massé, Sileye O. Ba, Radu Horaud:
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2711-2724 (2018) - [j64]Richard T. Marriott, Alexander Pashevich, Radu Horaud:
Plane-extraction from depth-data using a Gaussian mixture regression model. Pattern Recognit. Lett. 110: 44-50 (2018) - [j63]Xiaofei Li, Sharon Gannot, Laurent Girin, Radu Horaud:
Multichannel Identification and Nonnegative Equalization for Dereverberation and Noise Reduction Based on Convolutive Transfer Function. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1755-1768 (2018) - [c128]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 - [c127]Xiaofei Li, Sharon Gannot, Laurent Girin, Radu Horaud:
Multisource Mint Using Convolutive Transfer Function. ICASSP 2018: 756-760 - [c126]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 - [c125]Xiaofei Li, Bastien Mourgue, Laurent Girin, Sharon Gannot, Radu Horaud:
Online Localization of Multiple Moving Speakers in Reverberant Environments. SAM 2018: 405-409 - [c124]Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Deep Reinforcement Learning for Audio-Visual Gaze Control. IROS 2018: 1555-1562 - [c123]Simon Leglaive, Laurent Girin, Radu Horaud:
A variance Modeling Framework based on variational Autoencoders for speech enhancement. MLSP 2018: 1-6 - [i33]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
A Comprehensive Analysis of Deep Regression. CoRR abs/1803.08450 (2018) - [i32]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) - [i31]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) - [i30]Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. CoRR abs/1809.10961 (2018) - [i29]Simon Leglaive, Laurent Girin, Radu Horaud:
Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization. CoRR abs/1811.06713 (2018) - [i28]Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
A cascaded multiple-speaker localization and tracking system. CoRR abs/1812.04417 (2018) - [i27]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) - [i26]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering. CoRR abs/1812.08471 (2018) - 2017
- [j62]Yan Yan, Jiwen Lu, Ajmal S. Mian, Arun Ross, Vittorio Murino, Radu Horaud:
Guest Editorial: Language in Vision. Comput. Vis. Image Underst. 163: 1-2 (2017) - [j61]Xiaofei Li, Laurent Girin, Radu Horaud, Sharon Gannot:
Multiple-Speaker Localization Based on Direct-Path Features and Likelihood Maximization With Spatial Sparsity Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1997-2012 (2017) - [j60]Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye O. Ba, Georgios D. Evangelidis:
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions. IEEE Trans. Image Process. 26(3): 1428-1440 (2017) - [c122]Stéphane Lathuilière, Rémi Juge, Pablo Mesejo, Rafael Muñoz-Salinas, Radu Horaud:
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. CVPR 2017: 7149-7157 - [c121]Heinrich W. Löllmann, Alastair H. Moore, Patrick A. Naylor, Boaz Rafaely, Radu Horaud, Alexandre Mazel, Walter Kellermann:
Microphone array signal processing for robot audition. HSCMA 2017: 51-55 - [c120]Israel D. Gebru, Christine Evers, Patrick A. Naylor, Radu Horaud:
Audio-visual tracking by density approximation in a sequential Bayesian filtering framework. HSCMA 2017: 71-75 - [c119]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 - [c118]Xiaofei Li, Laurent Girin, Radu Horaud:
Audio source separation based on convolutive transfer function and frequency-domain lasso optimization. ICASSP 2017: 541-545 - [c117]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 - [c116]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 - [c115]Stéphane Lathuilière, Georgios D. Evangelidis, Radu Horaud:
Recognition of Group Activities in Videos Based on Single-and Two-Person Descriptors. WACV 2017: 217-225 - [c114]Vincent Drouard, Sileye O. Ba, Radu Horaud:
Switching Linear Inverse-Regression Model for Tracking Head Pose. WACV 2017: 1232-1240 - [c113]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 - [c112]Xiaofei Li, Laurent Girin, Radu Horaud:
An em algorithm for audio source separation based on the convolutive transfer function. WASPAA 2017: 56-60 - [i25]Benoit Massé, Silèye O. Ba, Radu Horaud:
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction. CoRR abs/1703.04727 (2017) - [i24]Xiaofei Li, Radu Horaud, Sharon Gannot:
Blind MultiChannel Identification and Equalization for Dereverberation and Noise Reduction based on Convolutive Transfer Function. CoRR abs/1706.03652 (2017) - [i23]Richard T. Marriott, Alexander Pashevich, Radu Horaud:
Plane-extraction from depth-data using a Gaussian mixture regression model. CoRR abs/1710.01925 (2017) - [i22]Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. CoRR abs/1711.06834 (2017) - [i21]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Source Separation and Speech Enhancement Using the Convolutive Transfer Function. CoRR abs/1711.07911 (2017) - 2016
- [j59]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) - [j58]Radu Horaud, Miles E. Hansard, Georgios D. Evangelidis, Clément Ménier:
An overview of depth cameras and range scanners based on time-of-flight technologies. Mach. Vis. Appl. 27(7): 1005-1020 (2016) - [j57]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) - [j56]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) - [j55]Xiaofei Li, Laurent Girin, Radu Horaud, Sharon Gannot:
Estimation of the Direct-Path Relative Transfer Function for Supervised Sound-Source Localization. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2171-2186 (2016) - [c111]Yutong Ban, Sileye O. Ba, Xavier Alameda-Pineda, Radu Horaud:
Tracking Multiple Persons Based on a Variational Bayesian Model. ECCV Workshops (2) 2016: 52-67 - [c110]Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot, Radu Horaud:
An inverse-gamma source variance prior with factorized parameterization for audio source separation. ICASSP 2016: 136-140 - [c109]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Non-stationary noise power spectral density estimation based on regional statistics. ICASSP 2016: 181-185 - [c108]Benoit Massé, Silèye O. Ba, Radu Horaud:
Simultaneous estimation of gaze direction and visual focus of attention for multi-person-to-robot interaction. ICME 2016: 1-6 - [c107]Xiaofei Li, Laurent Girin, Fabien Badeig, Radu Horaud:
Reverberant sound localization with a robot head based on direct-path relative transfer function. IROS 2016: 2819-2826 - [c106]Xiaofei Li, Radu Horaud, Laurent Girin, Sharon Gannot:
Voice activity detection based on statistical likelihood ratio with adaptive thresholding. IWAENC 2016: 1-5 - [i20]Israel D. Gebru, Sileye O. Ba, Xiaofei Li, Radu Horaud:
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion. CoRR abs/1603.09725 (2016) - [i19]Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye O. Ba, Georgios D. Evangelidis:
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regression. CoRR abs/1603.09732 (2016) - [i18]Georgios D. Evangelidis, Radu Horaud:
Joint Registration of Multiple Point Sets. CoRR abs/1609.01466 (2016) - [i17]Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multiple-Speaker Localization Based on Direct-Path Features and Likelihood Maximization with Spatial Sparsity Regularization. CoRR abs/1611.01172 (2016) - 2015
- [j54]Miles E. Hansard, Georgios D. Evangelidis, Quentin Pelorson, Radu Horaud:
Cross-calibration of time-of-flight and colour cameras. Comput. Vis. Image Underst. 134: 105-115 (2015) - [j53]Fabio Cuzzolin, Diana Mateus, Radu Horaud:
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. Int. J. Comput. Vis. 112(1): 43-70 (2015) - [j52]Kaustubh Kulkarni, Georgios D. Evangelidis, Jan Cech, Radu Horaud:
Continuous Action Recognition Based on Sequence Alignment. Int. J. Comput. Vis.