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Difference between revisions of "Guillaume Tochon"

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=== Research ===
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=== Research ===
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(last update: 03/2021)
 
 
==== Research interests ====
 
==== Research interests ====
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I am currently involved in two different research topics:
 
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My research interests lie in the fields of '''mathematical morphology''' (especially the use of hierarchical representations), '''statistical signal processing''' and '''machine/deep learning''' (sometimes all interacting together), with applications in (mostly) remote sensing (and particularly multi/hyperspectral image processing), astronomy and (a bit of) medical imagery.<br>
# Machine/Deep learning for medical imagery applications:
 
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## Brain tumor segmentation of 3T multimodal MRI scans (within the framework of the [https://www.med.upenn.edu/sbia/brats2018/data.html MICCAI BraTS 2018 Challenge])
 
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Examples of on-going projects include:
## Reconstruction and aberration compensation of retinal hyperspectral holographic images in real-time (thesis of Julie Rivet, jointly supervised with Thierry Géraud (LRDE), [https://www.institut-langevin.espci.fr/michael_atlan Michael Atlan] (Institut Langevin) and [https://www.researchgate.net/profile/Serge_Meimon Serge Meimon] (ONERA))
 
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* Learning structuring elements and morphological operation with deep neural networks (former work of A. Kirszenberg, current work of R. Hermary, jointly with É. Puybareau and J. Angulo (CMM)). [https://arxiv.org/pdf/2102.10038.pdf Read more].
# A fair and reliable assessment of classical image denoising algorithms (trickier than you may think in the first place...)
 
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* Playing with hierarchical representations and rank statistics for denoising applications (current work of B. Esteban, jointly with T. Géraud). [https://www.lrde.epita.fr/dload/papers/esteban.19.caip.pdf Read more].
<br>
 
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* Learning the temporal dynamics directly from Sentinel-2 multispectral time series data (former work of J. Estopinan, jointly with L. Drumetz (IMT-Atlantique)). [https://arxiv.org/pdf/2011.08746.pdf Read more].
Beside, I still have some on-going work related to the use of mathematical morphology (especially hierarchical representation) for data fusion and various remonte sensing applications (such as local spectral unmixing in the context of hyperspectral imagery).
 
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* Detection and classification of meteors and satellites in 1 second long exposure pictures of the night sky (current work of M. El Gemayer, jointly with É. Puybareau and J. Vaubaillon (IMCCE)). Publication to appear.
   
 
For a complete list of my publications, you can check my [https://scholar.google.fr/citations?hl=fr&user=CQ50qT0AAAAJ Google Scholar webpage].
 
For a complete list of my publications, you can check my [https://scholar.google.fr/citations?hl=fr&user=CQ50qT0AAAAJ Google Scholar webpage].
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==== Other research activities ====
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I also serve as a reviewer for the following journals:
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* IEEE Transactions on Image Processing
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* IEEE Transactions on Geoscience and Remote Sensing
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* IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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* IEEE Geoscience and Remote Sensing Letters
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* Remote Sensing of the Environment
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* Pattern Recognition
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* Journal of Mathematical Imaging and Vison<br>
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I serve also as Topic Editor for MDPI Remote Sensing journal
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==== Supervision ====
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I currently supervise the work of:
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* B. Esteban (PhD candidate, since Nov. 2020). Topic: ''Modern and efficient implementations of Mathematical Morphology algorithms for image processing and noise estimation'' (joint supervision with D. Verna and E. Carlinet)
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* E. Benrey (EPITA research student, since Sept. 2020). Topic: ''Predicting the right algorithm for state space exploration in model checking'' (joint supervision with E. Renault)
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* M. El Gemayel (EPITA research student, since Sept. 2020). Topic: ''Detection and classification of meteors and satellites in 1 second long exposure pictures of the night sky'' (joint supervision with É. Puybareau)
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* R. Hermary (EPITA research student, since Feb. 2021). Topic: ''Learning structuring elements and morphological operation with deep neural networks'' (joint supervision with É. Puybareau)
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Former students:
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* J. Rivet, who defended her [https://www.lrde.epita.fr/wiki/Affiche-these-JR PhD] in July 2020, on ''Non-iterative methods for image improvement in digital holography of the retina'' (joint supervision with T. Géraud, M. Paques (Sorbonne Université), S. Meimon (ONERA) and M. Atlan (Institut Langevin))
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* J. Estopinan (M2 intern between Feb. 2020 and Jul. 2020), on the subject ''Temporal Dynamics Learning for Hyperspectral Images Unmixing'' (joint supervision with L. Drumetz (IMT-Atlantique))
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* B. Parsy (EPITA research student, Feb. 2020 - Feb. 2021), on the subject ''Sensitivity of hierarchical representations to noise in images''
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* T. Buatois (EPITA research student, Feb. 2019 - Feb. 2021), on the subject ''Smart and robust segmentation of medical images using neural networks'' (joint supervision with É. Puybareau)
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* A. Kirszenberg (EPITA research student, Feb. 2019 - Feb. 2020), on the subject ''Learning morphological operations with deep neural networks'' (joint supervision with É. Puybareau)
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* B. Esteban (EPITA research student, Sept 2018 - Feb. 2020) who decided to come back to LRDE and keep working on his subject as a PhD candidate
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* T. De Carvalho (EPITA research student, Sept 2018 - Feb. 2020), on the topic ''Learning Model Checking'' (supervision with E. Renault)
   
 
==== Other research activities ====
 
==== Other research activities ====

Latest revision as of 14:12, 14 May 2021

Contact

Contact information
Yup, that's me ↑
Email guillaume.tochon@lrde.epita.fr
Tel +33 1 53 14 59 39
Location Salle L7, LRDE

Bio

I obtained a M.Sc degree in electrical engineering, with a major in signal and image processing, from the Grenoble Institute of Technology, France, in 2012. From January to June 2012, I was also a Predoctoral Fellow with Carnegie Institution for Science, Stanford University, USA.
I received a PhD degree in signal and image processing from the Université Grenoble Alpes, France, in 2015. I conducted my research at GIPSA-lab within the SigmaPhy (Signaux et Images Physiques) team, under the supervision of Jocelyn Chanussot and Mauro Dalla Mura. I was also a visiting scholar with the Department of Mathematics, University of Californie, Los Angeles, USA from June to August 2013.
From 2015 to 2016, I was a Temporary Assistant Professor (ATER) with the Grenoble Institute of Technology and GIPSA-lab.
Since September 2016, I am an Assistant Professor with EPITA and I conduct my research with EPITA Research & Development Laboratory (LRDE), within the Olena team.
Since February 2019, I am responsible for the IMAGE major specialization at EPITA (with my colleague Élodie Puybareau)

Research

(last update: 03/2021)

Research interests

My research interests lie in the fields of mathematical morphology (especially the use of hierarchical representations), statistical signal processing and machine/deep learning (sometimes all interacting together), with applications in (mostly) remote sensing (and particularly multi/hyperspectral image processing), astronomy and (a bit of) medical imagery.

Examples of on-going projects include:

  • Learning structuring elements and morphological operation with deep neural networks (former work of A. Kirszenberg, current work of R. Hermary, jointly with É. Puybareau and J. Angulo (CMM)). Read more.
  • Playing with hierarchical representations and rank statistics for denoising applications (current work of B. Esteban, jointly with T. Géraud). Read more.
  • Learning the temporal dynamics directly from Sentinel-2 multispectral time series data (former work of J. Estopinan, jointly with L. Drumetz (IMT-Atlantique)). Read more.
  • Detection and classification of meteors and satellites in 1 second long exposure pictures of the night sky (current work of M. El Gemayer, jointly with É. Puybareau and J. Vaubaillon (IMCCE)). Publication to appear.

For a complete list of my publications, you can check my Google Scholar webpage.

Other research activities

I also serve as a reviewer for the following journals:

  • IEEE Transactions on Image Processing
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing of the Environment
  • Pattern Recognition
  • Journal of Mathematical Imaging and Vison

I serve also as Topic Editor for MDPI Remote Sensing journal

Supervision

I currently supervise the work of:

  • B. Esteban (PhD candidate, since Nov. 2020). Topic: Modern and efficient implementations of Mathematical Morphology algorithms for image processing and noise estimation (joint supervision with D. Verna and E. Carlinet)
  • E. Benrey (EPITA research student, since Sept. 2020). Topic: Predicting the right algorithm for state space exploration in model checking (joint supervision with E. Renault)
  • M. El Gemayel (EPITA research student, since Sept. 2020). Topic: Detection and classification of meteors and satellites in 1 second long exposure pictures of the night sky (joint supervision with É. Puybareau)
  • R. Hermary (EPITA research student, since Feb. 2021). Topic: Learning structuring elements and morphological operation with deep neural networks (joint supervision with É. Puybareau)

Former students:

  • J. Rivet, who defended her PhD in July 2020, on Non-iterative methods for image improvement in digital holography of the retina (joint supervision with T. Géraud, M. Paques (Sorbonne Université), S. Meimon (ONERA) and M. Atlan (Institut Langevin))
  • J. Estopinan (M2 intern between Feb. 2020 and Jul. 2020), on the subject Temporal Dynamics Learning for Hyperspectral Images Unmixing (joint supervision with L. Drumetz (IMT-Atlantique))
  • B. Parsy (EPITA research student, Feb. 2020 - Feb. 2021), on the subject Sensitivity of hierarchical representations to noise in images
  • T. Buatois (EPITA research student, Feb. 2019 - Feb. 2021), on the subject Smart and robust segmentation of medical images using neural networks (joint supervision with É. Puybareau)
  • A. Kirszenberg (EPITA research student, Feb. 2019 - Feb. 2020), on the subject Learning morphological operations with deep neural networks (joint supervision with É. Puybareau)
  • B. Esteban (EPITA research student, Sept 2018 - Feb. 2020) who decided to come back to LRDE and keep working on his subject as a PhD candidate
  • T. De Carvalho (EPITA research student, Sept 2018 - Feb. 2020), on the topic Learning Model Checking (supervision with E. Renault)

Other research activities

I also serve as a reviewer for the following journals:

  • IEEE Transactions on Image Processing
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing of the Environment
  • Pattern Recognition
  • Journal of Mathematical Imaging and Vison

I serve also as Topic Editor for MDPI Remote Sensing journal

Teaching

I am teaching the following courses at EPITA this year (2017/2018):

  • ING1 level (third year of undergrad studies)
  • ING3 level (second year of grad studies)
    • Elements of statistical signal processing (Traitement statistique du signal).

I also supervise tutorial classes in Algorithmic (ING1) and Rational language theory (INFOSPE - second year of undergrad studies).

During my previous position as Teaching Assistant (moniteur) between 2012 and 2014, and Temporary Assistant Professor in 2015/2016 at the Grenoble Institute of Technology, I taught/supervised courses/tutorial classes/lab sessions related to signal and image processing as well as applied mathematics.