OPIS - 2019 - Annual activity report

Project-Team Opis

Team, Visitors, External Collaborators

Overall Objectives

OPIS

Research Program

Application Domains

Highlights of the Year

New Software and Platforms

Platforms

New Results

General risk measures for robust machine learning
Deep Latent Factor Model for Collaborative Filtering
A Proximal Interior Point Algorithm with Applications to Image Processing
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
A probabilistic incremental proximal gradient method
Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging
Calibration-less parallel imaging compressed sensing reconstruction based on OSCAR regularization
Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation
Representation Learning on Real-World Graphs
Semi-supervised Learning for Misinformation Detection
A Perturb and Combine Approach to Analyze Real-World Graphs
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping: Mean-square and linear convergence
Rational optimization for non- linear reconstruction with approximate $ℓ_{0}$ penalization
Deep neural network structures solving variational inequalities
Generation of patient-specific cardiac vascular networks: a hybrid image-based and synthetic geometric model
High throughput automated detection of axial malformations in Medaka fish embryo
Quantitative PET in the context of lymphoma
nD variational restoration of curvilinear structures with prior-based directional regularization
Skin aging automated assessment
Particle tracking
Artificial Intelligence Applications for Thoracic imaging
Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature
A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks
A multi-task deep learning framework coupling semantic segmentation and image reconstruction for very high resolution imagery
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Publications of the year

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Creation of the Project-Team: 2019 May 01

Section: Team, Visitors, External Collaborators

Research Scientist

Emilie Chouzenoux [Inria, Researcher, from Sep 2019, HDR]

Faculty Members

Jean-Christophe Pesquet [Team leader, CentraleSupélec, Professor, HDR]

Fragkiskos Malliaros [CentraleSupélec, Associate Professor]

Edouard Oyallon [CentraleSupélec, Associate Professor, until Aug 2019]

Hugues Talbot [CentraleSupélec, Professor, HDR]

Maria Vakalopoulou [CentraleSupélec, Associate Professor]

Marc Castella [Institut Mines-Télécom, Associate Professor]

PhD Students

Samy Ammari [Institut Gustave Roussy, PhD Student]

Enzo Battistella [CentraleSupélec, PhD Student]

Abdulkadir Celikkanat [CentraleSupélec, PhD Student]

Guillaume Chassagnon [Assistance publique/Hôpitaux de Paris, PhD Student, from Jun 2019 until Sep 2019]

Marie-Caroline Corbineau [CentraleSupélec, PhD Student, until Nov 2019]

Tasnim Dardouri [Univ Paris-Nord, PhD Student, from Nov 2019]

Theo Estienne [CentraleSupélec, PhD Student]

Kavya Gupta [Thales, PhD Student, from Nov 2019, granted by CIFRE]

Yunshi Huang [Univ Paris-Est, PhD Student]

Surabhi Jagtap [IFPEN, PhD Student]

Marvin Lerousseau [CentraleSupélec, PhD Student]

Arthur Marmin [CentraleSupélec, PhD Student]

Ana Neacsu [CentraleSupélec, PhD Student, from Oct 2019]

Mihir Sahasrabudhe [CentraleSupélec, PhD Student]

Marion Savanier [GE Healthcare, CentraleSupélec, PhD Student, granted by CIFRE]

Maissa Sghaier [GE Healthcare, CentraleSupélec, PhD Student, granted by CIFRE]

Roger Sun [CentraleSupélec, PhD Student]

Sagar Verma [CentraleSupélec, PhD Student, from Nov 2019]

Mario Viti [GE Healthcare, CentraleSupélec, PhD Student, granted by CIFRE]

Technical staff

Nguyen Vu [Inria, Engineer, from Dec 2019]

Interns and Apprentices

Mohamed Ali Kammoun [CentraleSupélec, until Aug 2019]

Mathieu Chalvidal [CentraleSupélec, until Dec 2019]

Benoit Charmettant [Inria, from Sep 2019]

Simona Juvina [CentraleSupélec, until Jun 2019]

Octave Noisette [CentraleSupélec, until Jan 2020]

Administrative Assistants

Jana Dutrey [CentraleSupélec]

Irina Lahaye [Inria, Administrative Assistant, from Nov 2019]

Alexandra Merlin [Inria, Administrative Assistant, until Sep 2019]

External Collaborator

Maria Papadomanolaki [CentraleSupélec]

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