b'Radu Horaud'

research

∙ 07/30/2021

High-Resolution Depth Maps Based on TOF-Stereo Fusion

The combination of range sensors with color cameras can be very useful f...

0 Vineet Gandhi, et al. ∙

research

∙ 06/21/2021

3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching

We address the problem of 3D shape registration and we propose a novel t...

0 Avinash Sharma, et al. ∙

research

∙ 12/15/2020

Robust Factorization Methods Using a Gaussian/Uniform Mixture Model

In this paper we address the problem of building a class of robust facto...

0 Andrei Zaharescu, et al. ∙

research

∙ 12/14/2020

Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

Matching articulated shapes represented by voxel-sets reduces to maximal...

0 Diana Mateus, et al. ∙

research

∙ 12/12/2020

An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies

Time-of-flight (TOF) cameras are sensors that can measure the depths of ...

0 Radu Horaud, et al. ∙

research

∙ 12/12/2020

Fusion of Range and Stereo Data for High-Resolution Scene-Modeling

This paper addresses the problem of range-stereo fusion, for the constru...

0 Georgios D. Evangelidis, et al. ∙

research

∙ 12/11/2020

Cyclopean Geometry of Binocular Vision

The geometry of binocular projection is analyzed, with reference to the ...

0 Miles Hansard, et al. ∙

research

∙ 12/10/2020

Image Matching with Scale Adjustment

In this paper we address the problem of matching two images with two dif...

15 Yves Dufournaud, et al. ∙

research

∙ 12/10/2020

Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction

Triangulated meshes have become ubiquitous discrete-surface representati...

0 Andrei Zaharescu, et al. ∙

research

∙ 12/09/2020

Rigid and Articulated Point Registration with Expectation Conditional Maximization

This paper addresses the issue of matching rigid and articulated shapes ...

5 Radu Horaud, et al. ∙

research

∙ 12/09/2020

A Differential Model of the Complex Cell

The receptive fields of simple cells in the visual cortex can be underst...

0 Miles Hansard, et al. ∙

research

∙ 12/09/2020

Conjugate Mixture Models for Clustering Multimodal Data

The problem of multimodal clustering arises whenever the data are gather...

0 Vasil Khalidov, et al. ∙

research

∙ 12/08/2020

Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals

We address the problem of human motion tracking by registering a surface...

0 Radu Horaud, et al. ∙

research

∙ 12/07/2020

Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function

This paper addresses the problem of sound-source localization (SSL) with...

0 Xiaofei Li, et al. ∙

research

∙ 10/29/2020

FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

This paper proposes a full-band and sub-band fusion model, named as Full...

0 Xiang Hao, et al. ∙

research

∙ 09/23/2020

Learning Visual Voice Activity Detection with an Automatically Annotated Dataset

Visual voice activity detection (V-VAD) uses visual features to predict ...

6 Sylvain Guy, et al. ∙

research

∙ 06/02/2020

Variational Inference and Learning of Piecewise-linear Dynamical Systems

Modeling the temporal behavior of data is of primordial importance in ma...

0 Xavier Alameda-Pineda, et al. ∙

research

∙ 05/11/2020

Online Monaural Speech Enhancement Using Delayed Subband LSTM

This paper proposes a delayed subband LSTM network for online monaural (...

0 Xiaofei Li, et al. ∙

research

∙ 04/14/2020

Unsupervised Performance Analysis of 3D Face Alignment

We address the problem of analyzing the performance of 3D face alignment...

0 Mostafa Sadeghi, et al. ∙

research

∙ 11/25/2019

Narrow-band Deep Filtering for Multichannel Speech Enhancement

In this paper we address the problem of multichannel speech enhancement ...

0 Xiaofei Li, et al. ∙

research

∙ 10/24/2019

A Recurrent Variational Autoencoder for Speech Enhancement

This paper presents a generative approach to speech enhancement based on...

0 Simon Leglaive, et al. ∙

research

∙ 08/07/2019

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder

Variational auto-encoders (VAEs) are deep generative latent variable mod...

0 Mostafa Sadeghi, et al. ∙

research

∙ 06/15/2019

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers

Multiple Object Tracking accuracy and precision (MOTA and MOTP) are two ...

0 Yihong Xu, et al. ∙

research

∙ 04/10/2019

Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function

This paper addresses the problem of under-determinded speech source sepa...

0 Xiaofei Li, et al. ∙

research

∙ 04/10/2019

Audio-noise Power Spectral Density Estimation Using Long Short-term Memory

We propose a method using a long short-term memory (LSTM) network to est...

0 Xiaofei Li, et al. ∙

research

∙ 04/02/2019

Camera Adversarial Transfer for Unsupervised Person Re-Identification

Unsupervised person re-identification (Re-ID) methods consist of trainin...

0 Guillaume Delorme, et al. ∙

research

∙ 02/28/2019

Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View

In this paper we address the problems of detecting objects of interest i...

10 Benoit Massé, et al. ∙

research

∙ 02/08/2019

Speech enhancement with variational autoencoders and alpha-stable distributions

This paper focuses on single-channel semi-supervised speech enhancement....

0 Simon Leglaive, et al. ∙

research

∙ 02/05/2019

A variance modeling framework based on variational autoencoders for speech enhancement

In this paper we address the problem of enhancing speech signals in nois...

0 Simon Leglaive, et al. ∙

research

∙ 12/20/2018

Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering

This paper addresses the problem of multichannel online dereverberation....

0 Xiaofei Li, et al. ∙

research

∙ 12/19/2018

Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM

In this paper, we address the problem of simultaneously tracking several...

0 Yutong Ban, et al. ∙

research

∙ 12/11/2018

A cascaded multiple-speaker localization and tracking system

This paper presents an online multiple-speaker localization and tracking...

0 Xiaofei Li, et al. ∙

research

∙ 11/16/2018

Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization

In this paper we address speaker-independent multichannel speech enhance...

0 Simon Leglaive, et al. ∙

research

∙ 09/28/2018

Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers

In this paper we address the problem of tracking multiple speakers via t...

14 Yutong Ban, et al. ∙

research

∙ 09/28/2018

Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments

This paper addresses the problem of online multiple-speaker localization...

0 Xiaofei Li, et al. ∙

research

∙ 08/28/2018

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model

In this paper, we address the problem of how to robustly train a ConvNet...

0 Stéphane Lathuilière, et al. ∙

research

∙ 03/22/2018

A Comprehensive Analysis of Deep Regression

Deep learning revolutionized data science, and recently, its popularity ...

2 Stéphane Lathuilière, et al. ∙

research

∙ 11/21/2017

Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function

This paper addresses the problem of speech separation and enhancement fr...

0 Xiaofei Li, et al. ∙

research

∙ 11/21/2017

Multichannel Source Separation and Speech Enhancement Using the Convolutive Transfer Function

This paper addresses the problem of audio source recovery from multichan...

0 Xiaofei Li, et al. ∙

research

∙ 11/18/2017

Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction

This paper introduces a novel neural network-based reinforcement learnin...

0 Stéphane Lathuilière, et al. ∙

research

∙ 10/05/2017

Plane-extraction from depth-data using a Gaussian mixture regression model

We propose a novel algorithm for unsupervised extraction of piecewise pl...

0 Richard T. Marriott, et al. ∙

research

∙ 03/14/2017

Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction

The visual focus of attention (VFOA) has been recognized as a prominent ...

0 Benoit Massé, et al. ∙

research

∙ 09/06/2016

Joint Alignment of Multiple Point Sets with Batch and Incremental Expectation-Maximization

This paper addresses the problem of registering multiple point sets. Sol...

0 Georgios Evangelidis, et al. ∙

research

∙ 03/31/2016

Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions

Head-pose estimation has many applications, such as social event analysi...

0 Vincent Drouard, et al. ∙

research

∙ 03/31/2016

Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion

Speaker diarization consists of assigning speech signals to people engag...

0 Israel D. Gebru, et al. ∙

research

∙ 09/04/2015

An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes

Object tracking is an ubiquitous problem that appears in many applicatio...

0 Silèye Ba, et al. ∙

research

∙ 09/04/2015

EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis

Data clustering has received a lot of attention and numerous methods, al...

0 Israel D. Gebru, et al. ∙

research

∙ 09/30/2014

Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies

Hyper-spectral data can be analyzed to recover physical properties at la...

0 Antoine Deleforge, et al. ∙

research

∙ 06/02/2014

Continuous Action Recognition Based on Sequence Alignment

Continuous action recognition is more challenging than isolated recognit...

0 Kaustubh Kulkarni, et al. ∙

research

∙ 05/26/2014

Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies

In motion analysis and understanding it is important to be able to fit a...

0 Fabio Cuzzolin, et al. ∙

Radu Horaud

Featured Co-authors