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Jean-Philippe Thiran

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Publications associées (496)

Combining Multiple Views for Visual Speech Recognition

Jean-Philippe Thiran, Marina Zimmermann, Mostafa Mehdipour Ghazi, Hazim Kemal Ekenel

Visual speech recognition is a challenging research problem with a particular practical application of aiding audio speech recognition in noisy scenarios. Multiple camera setups can be beneficial for the visual speech recognition systems in terms of improv ...

KTH2017

3D Spectral Nonrigid Registration of Facial Expression Scans

Jean-Philippe Thiran, Gabriel Louis Cuendet, Christophe René Joseph Ecabert, Marina Zimmermann, Hazim Kemal Ekenel

In this paper, we introduce a new template-based spectral nonrigid registration method in which the target is represented using multilevel partition of unity (MPU) implicit surfaces and the template is embedded in a discrete Laplace-Beltrami based spectral ...

2017

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms

Jean-Philippe Thiran, Martin Proença, Fabian Braun

Electrical impedance tomography (EIT) is an emerging technology for real-time monitoring of patients under mechanical ventilation. EIT has the potential to offer continuous medical monitoring while being noninvasive, radiation free, and low cost. Due to th ...

Ieee-Inst Electrical Electronics Engineers Inc2017

A Regression-based User Calibration Framework for Real-time Gaze Estimation

Jean-Philippe Thiran, Nuri Murat Arar, Hua Gao

Eye movements play a very significant role in human computer interaction (HCI) as they are natural and fast, and contain important cues for human cognitive state and visual attention. Over the last two decades, many techniques have been proposed to accurat ...

Institute of Electrical and Electronics Engineers2017

Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Adrien Georges Jean Besson

In ultrasound (US) imaging, beamforming is usually separated from the deconvolution or some other post-processing techniques. The former processes raw data to build radio-frequency (RF) images while the latter restore high-resolution images, denoted as tis ...

2017

Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Patric Hagmann, Alessandra Griffa, Alessandro Daducci, Kirell Maël Benzi, Benjamin Ricaud

The study of brain dynamics enables us to characterize the time-varying functional connectivity among distinct neural groups. However, current methods suffer from the absence of structural connectivity information. We propose to integrate infra-slow neural ...

Elsevier2017

Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection

Jean-Philippe Thiran, Damien Colin Matti, Hazim Kemal Ekenel

2017

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Jean-Philippe Thiran, Gabriel Louis Cuendet, Anil Yuce, Hua Gao

Driving requires the constant coordination of many body systems and full attention of the person. Cognitive distraction (subsidiary mental load) of the driver is an important factor that decreases attention and responsiveness, which may result in human err ...

Ieee-Inst Electrical Electronics Engineers Inc2017

USSR: An UltraSound Sparse Regularization framework

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Florian Martinez, Marcel Arditi

Ultrafast ultrasound (US) imaging uses unfocused waves to insonify the whole medium of interest at once, allowing pulse-echo US imaging to achieve very high frame rates, at the cost of a lower image quality. In this paper, we present USSR, an UltraSound Sp ...

Ieee2017

Fourier dimensionality reduction of radio-interferometric data

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Vijay Kartik

Next-generation radio-interferometers face a computing challenge with respect to the imaging techniques that can be applied in the big data setting in which they are designed. Dimensionality reduction can thus provide essential savings of computing resourc ...

2017

Robust dimensionality reduction for interferometric imaging of Cygnus A

Jean-Philippe Thiran, Yves Wiaux, Vijay Kartik

Extremely high data rates expected in next-generation radio interferometers necessitate a fast and robust way to process measurements in a big data context. Dimensionality reduction can alleviate computational load needed to process these data, in terms of ...

2017

Inexpensive 1024-Channel 3D Telesonography System on FPGA

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Damien Doy, Aya Mohamed Naguib Ahmed Ibrahim, Marcel Arditi

Volumetric ultrasound (US) is a very promising development of medical US imaging. An under-exploited advantage of volumetric US is the mitigation of the strict probe positioning constrains necessary to acquire 2D scans, potentially allowing the decoupling ...

IEEE2017

Efficient Sample Delay Calculation for 2-D and 3-D Ultrasound Imaging

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Luca Benini, Aya Mohamed Naguib Ahmed Ibrahim, Marcel Arditi

Ultrasound imaging is a reference medical diagnostic technique, thanks to its blend of versatility, effectiveness, and moderate cost. The core computation of all ultrasound imaging methods is based on simple formulae, except for those required to calculate ...

Ieee-Inst Electrical Electronics Engineers Inc2017

A Fourier dimensionality reduction model for big data interferometric imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Vijay Kartik

Data dimensionality reduction in radio interferometry can provide savings of computational resources for image reconstruction through reduced memory footprints and lighter computations per iteration, which is important for the scalability of imaging method ...

Oxford Univ Press2017

A compressed-sensing approach for ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Rafael Eduardo Carrillo Rangel, Marcel Arditi

Ultrasonography uses multiple piezo-electric element probes to image tissues. Current time-domain beamforming techniques require the signal at each transducer-element to be sampled at a rate higher than the Nyquist criterion, resulting in an extensive amou ...

2017

Orientation invariant and non-parametric Axon Diameter Distribution mapping using PGSE and regularized discrete linear modeling

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Anna Auria Rasclosa, Muhamed Barakovic, Tim Bjørn Dyrby

Axon Diameter Distributions (ADDs) change during brain development and are altered in several brain pathologies. Mapping ADDs non-invasively using dMRI could provide a useful biomarker, but existing methods are either parametric, orientation dependent, sur ...

2017

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Jean-Philippe Thiran, Reto Meuli, Bénédicte Marie Maréchal, Tobias Kober, Alexis Roche, Pavel Falkovskiy

Imaging in neuroscience, clinical research and pharmaceutical trials often employs the 3D magnetisation-prepared rapid gradient-echo (MPRAGE) sequence to obtain structural T1-weighted images with high spatial resolution of the human brain. Typical research ...

Academic Press Inc Elsevier Science2016

Brain network characterization of high-risk preterm-born school-age children

Jean-Philippe Thiran, François Lazeyras, Alessandra Griffa, Elda Fischi Gomez

Higher risk for long-term cognitive and behavioral impairments is one of the hallmarks of extreme prematurity (EP) and pregnancy-associated fetal adverse conditions such as intrauterine growth restriction (IUGR). While neurodevelopmental delay and abnormal ...

Elsevier Sci Ltd2016

Morphological component analysis for sparse regularization in plane wave imaging

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Rafael Eduardo Carrillo Rangel, Marcel Arditi, Eric Bezzam

Classical ultrasound image reconstruction mainly relies on the well-known delay-and-sum (DAS) beamforming for its simplicity and real-time capability. Sparse regularization methods propose an alternative to DAS which lead to a better inversion of the ill-p ...

Ieee2016

EYE GAZE TRACKING SYSTEM AND METHOD

Jean-Philippe Thiran, Nuri Murat Arar

An eye gaze tracking system is disclosed. The system includes a gaze data acquisition system including a plurality of light sources and a plurality of image sensors. The plurality of light sources are arranged to emit light to a head of the user, and the p ...

2016

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