This is an old revision of the document!
Table of Contents
Deep Learning for Image Analysis
Deep learning has achieved formidable results in the image analysis field in recent years, in many cases exceeding human performance. This success opens paths for new applications, entrepreneurship and research, while making the field very competitive.
This course aims at providing the students with the theoretical and practical basis for understanding and using deep learning for image analysis applications.
Lecturers
- Bogdan Stanciulescu
- Samy Blusseau
Fall 2021 edition: MINES ParisTech (MP1523/5)
Practical work
Link for lecturers and teaching assistants:
https://docs.google.com/document/d/1GRvg8eWZNl3X1VJRdFpv1TVZdtJTP7KvSfEE0Dxipd8/edit
Link to download practical sessions material:
not yet available
The following assignments will be available from:
not yet available
Timetable
First lecture: September 22, 13h45, in classroom L118.
Date | Time | Classroom |
21/09 | 13h45 | L-218 |
28/09 | 13h35 | L-109 |
05/10 | 13h45 | L-118 |
12/10 | 13h45 | L-316 |
20/10 | 9h00 | L-109 |
26/10 | 13h45 | L-109 |
02/11 | 13h45 | L-109 |
9/11 | 13h45 | L-218 |
Winter 2021 edition: IASD Master
Exam: March 24, 10h - 12h. Classroom V106B, at MINES ParisTech (60 Bd. Saint-Michel).
Lien vers les supports de cours: https://frama.link/dlia_lectures
Timetable
Date | Time | Classroom | Lectures | Invited speaker |
13/01 | 8h30-11h45 | Zoom | Machine learning; artificial neural networks; convolutions neural networks I; ethical aspects | |
20/01 | 8h30-11h45 | Zoom | Convolutional neural networks II | Vincent Morard |
27/01 | 8h30-11h45 | Optimization; fully convolution neural networks II | Bruno Figliuzzi | |
03/02 | 8h30-11h45 | Network introspection and visualization ; object detection | Sébastien Lefèvre | |
10/02 | 8h30-11h45 | DL in practice ; case study | C. Breuil, C. Meurée | |
17/02 | 8h30-11h45 | Reducing supervision | Claire-Hélène Demarty | |
03/03 | 8h30-11h45 | Advanced techniques I ; morphological layers | Diego Tuccillo | |
10/03 | 8h30-11h45 | Advanced techniques II | Martin Bauw and/or Valentin Penaud-Polge | |
17/03 | 9h-10h30 | Exam |
Invited speakers
- Vincent Morard (General Electric) : AI for medical images: an industrial point of view
- Bruno Figliuzzi (CMM, Mines Paris) : Segmentation d'images de rhéologie par réseaux de neurones convolutionnels
- Sébastien Lefèvre (IRISA) : Deep Learning in Remote Sensing: Challenges and Results
- Claire-Hélène Demarty (InterDigital) : Deep Learning for post production in movie industry
- Camille Breuil et Cédric Meurée (aiVision): L'aide au diagnostic chez aiVision: exemple de la rétinopathie diabétique
- Diego Tuccillo (Instituto de Astrofisica de Canarias): Deep learning applications in Astronomy
- Martin Bauw (CMM, Mines Paris): détection d'anomalies
- Valentin Penaud-Polge (CMM, Mines Paris): couches paramétriques
Propositions de stages
Fall 2020 edition: MINES ParisTech (MP1523/5)
Travaux pratiques
Link to download practical sessions material:
https://filesender.renater.fr/?s=download&token=5e619f45-40cd-4d42-b736-7adb973d5a3b
The following assignments will be available from:
Timetable
First lecture: september 22, 13h45, in classroom L118.
Date | Time | Classroom |
22/09 | 13h45 | L118 |
29/09 | 13h35 | L109 |
06/10 | 13h45 | L108 |
13/10 | 13h45 | V106A |
20/10 | 13h45 | L224 |
27/10 | 13h45 | V106A |
04/09 | 9h | V106A |
10/09 | 13h45 | V334 |
Winter 2020 edition: IASD Master
Teaching assistants
- David Duque
- Leonardo Gigli
- Arthur Imbert
- Tristan Lazard
Fall 2019 Edition: ATHENS MP10
Invited speakers
- Marc Huertas (Canaries Astrophysics Institute; Observatoire de Paris)
- Maximilian Jaritz (Valeo.ai)
- Olivier Moindrot (Owkin)
- Bogdan Stanciulescu (CAOR, MINES ParisTech)
Teaching assistants
- Eric Bazan
- David Duque
- Leonardo Gigli
- Arthur Imbert
- Tristan Lazard
Fall 2018 Edition: ATHENS MP10
Invited speakers
- Pierre Fillard (Therapixel)
- Marc Huertas-Company (Canaries Astrophysics Institute; Observatoire de Paris)
- Bogdan Stanciulescu (CAOR, MINES ParisTech)
- Pauline Luc (Facebook AI Research)
Teaching assistants
- Robin Alais
- Joseph Boyd
- Leonardo Gigli
- Peter Naylor
- Robin Alais