Title  Description  Supervisors Status ↓
Implementation of an active sourdine for wind instruments Electroacoustic resonators are devices comprising (at least) one electrodynamic loudspeaker and an electronic instrumentation (feedback based on pressure/velocity sensing ... Hervé Lissek, Etienne Rivet, Romain Boulandet Available  More
Development of an active acoustic metasurface Metamaterials are engineered materials with a subwavelength structure that enables extraordinary propagation and manipulation of waves. In acoustics, they can ... Thomas Laurence Available  More
Design of a new flat loudspeaker concept The electrodynamic moving-coil loudspeaker, as patented by Kellogg and Rice in 1924, is the most spread electroacoustic diffuser in the ... Thomas Laurence Available  More
Development of a remote quiet zone demo In many workspaces, low-frequency noises (LFN), as experienced with industrial machinery, electric transformer and air flow machinery, are the most ... Romain Boulandet Available  More
In-Situ Assessment of Active Electroacoustic Absorbers in Rooms at Low-Frequencies Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. These low-frequency ... Thach Pham Vu Available  More
VENOVA : an actively modified cylindrical cross-saxophone After some research, modeling, computations, adjustments and a bit of luck, the team of engineers from Yamaha have developed a ... Thomas Laurence Available  More
Data-driven research on graph neural networks I am looking for motivated students that wish to work on the development of deep learning algorithms for graph data ... Andreas Loukas Available  More
Implementation of a low-cost real-time reverberation algorithm The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement ... Vincent Grimaldi Available  More
Multi-actuated panel for active sound absorption The distributed mode loudspeaker (DML) technology is a flat panel loudspeaker from which sound is generated a set of electromechanical ... Hervé Lissek Available  More
Development of a microphone array to track mobile noise sources Microphone arrays can be used to locate and track moving sound sources, thanks to advanced signal processing techniques. Such techniques ... Hervé Lissek Available  More
Room modes identification and characterization and its potential application Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. These low-frequency ... Thach Pham Vu Available  More
Development, assessment and optimization of an Active Nonlinear Electroacoustic Resonator Acoustic metamaterials (AMMs) and metasurfaces (AMSs) are engineered structures aimed at achieving unprecedented acoustic properties not available in nature. They ... Xinxin Guo Available  More
Better Uncertainty Estimates for DNNs v2! Deriving uncertainty estimates for feedforward DNN predictions is critical in a number of tasks. Unfortunately the outputs of the softmax ... Konstantinos Pitas Available  More
How flat is my minimum? Flat minima are claimed to have links with good generalization in deep neural networks [1]. However such links to good ... Konstantinos Pitas Available  More
Beyond Gaussians with Diagonal Covariance How much information do deep neural network weights contain after training? One way of answering this question is modelling the ... Konstantinos Pitas Available  More
Detection of fake news in sites and online networks There are numerous sources of information on the net. They can be more or less biaised or reliable and it ... Benjamin Ricaud Assigned  More
Learning on manifolds In many applications, data lie on non-Euclidean manifolds. Examples on the sphere include planetary data (such as temperature, wind, aerial ... Michaël Defferrard, Martino Milani Assigned  More
Protein reconstruction from multiple images with Deep Learning Single-particle cryo-electron microscopy (cryo-EM) is a Nobel-prized technology that aims to characterize the 3D structure of proteins at the atomic ... Michaël Defferrard, Laurène Donati Assigned  More
Geometric Deep Learning for Climate and Weather Modeling Climate change is one of the grand challenges facing humanity in the 21st century. Humankind can mainly act on two ... Michaël Defferrard Assigned  More
People Recognition in the Montreux Jazz Festival Archive Idea : Provide an automatic labelling of people in videos using face detection and visual tracking, with application to the Montreux ... Johann Paratte Finished  More
Object Classification using Depth Cameras Idea : tackle object classification tasks based on depth sensor input. Objectives : finding a way to extract meaningful 3D features experimenting ... Johann Paratte Finished  More
Robust Face Detection and Recognition using Depth Cameras Idea : achieve face recognition based on RGB-D cameras. Objectives : creation of a 3D dataset for the learning using RGB face ... Johann Paratte Finished  More
Learning with Hypergraphs In this project the student will inquiries hypergraphs and generalizes the spectral graph theory to this setting. This project is ... Nathanaël Perraudin Finished  More
Distance learning for smooth graph signals In this project, we study a new technique for distance learning on a graph. Traditional distance learning minimizes the distance ... Vassilis Kalofolias, Nathanaël Perraudin Finished  More
Movie Summary Using Dimensionality Reduction Idea : provide a meaningful visual summary of a video sequence in an entirely automatic way. Objectives : finding representative snapshots per ... Johann Paratte Finished  More