ECCV 2018

I'm attending ECCV 2018 right now! My PhD student Marie-Morgane is presenting her accepted paper "Image Reassembly Combining Deep Learning and Shortest Path Problem" at the poster session of Tuesday morning. We propose a new image reassembly task from unordered fragments and have an associated dataset. Send an email if you want to test your skills on this challenging task.

2017-2018 in a nutshell

2017-2018 has been a very busy year and this website is completely outdated, so here is the wrap up of the most important things that happened:
  • I've been on leave at LIP6, Sorbonne Université for the full year
  • I defended my Habilitation in November 2017
  • Jérôme Fellus defended his PhD on decentralized machine learning using gossip protocols in October 2017, with high quality theoretical contributions.
  • We extended the approach to deep learning with colleagues from Sorbonne Université.
  • I started another project during my leave at Sorbonne Université on cross-modal retrieval using deep embeddings. This project in collaboration with Laure Soulier and Matthieu Cord, and part of the PhDs of Remi Cadene and Micael Carvalho, led to a publication at SIGIR 2018
  • I started a new project on using machine learning and machine vision techniques to reassemble historical artifacts fragments. In this project, I supervise a new PhD candidate, Marie-Morgane Paumard.
  • I'm organizing a special session on Image processing for Cultural Heritage at ICIP 2018 next October in Athens
  • Speaking of ICIP, I have two papers accepted, one by Pierre Jacob, who started his PhD on deep learning for image retrieval with Aymeric Histace and me in spring last year, and one by Marie-Morgane.
  • I'll be at CVPR next week presenting the latest work Diogo Luvizon on 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. Diogo started a PhD in late 2015 on action recognition in videos, supervised by Hedi Tabia and me.

LibAGML first release

Since we had a few publications on the topic of distributed machine learning (in particular a Neurocomputing paper on distributed PCA: "Asynchronous Gossip Principal Components Analysis"), let's talk a bit more about it. My Ph.D. student Jérôme Fellus has rolled out the version first version of his libagml library. This is a distributed machine learning library in C++ that relies on Gossip protocols.

The main page is here: http://perso-etis.ensea.fr/~jerofell/software.html

The way it works is dead simple: you have a mother class that corresponds to a node, and all you have to do is derive it to make your specifi local computation and aggregation procedures. All the networking, instantiation, etc, is handle by the library. Nice, isn't it?

No news, good news

This post should explain why I did not set anything new here for long time. First, I've been very busy doing research the past year. In no particular order:

  • My very first PhD student - Romain Negrel - has successfully defended in December 2014. He is now pursuing a postdoc at GREY, Caen, France.
  • I've been invited for a month at the TU Darmstadt between August and September, working with Dr.-Ing. V. Willert and Thomas Guthier on learning local descriptors. While the work isn't finished yet (read not published), it is very interesting. All of this was funded by the DAAD, which I thank gratefully.
  • I've been working a lot recently on computer vision and image processing for cultural heritage purposes. To that end, I've set up a benchmark using images from the BnF, based on a project we have funded by the Labex Patrima. A paper on that has been accepted in IEEE Signal Processing Magazine. With respect to the project, we are starting to work on interesting things involving deep learning with my new postdoc Yi Ren.
  • More on cultural heritage and image processing, I'm organizing a special session at this year's edition of the GRETSI. The call for paper is here, you are of course all invited to submit as many paper as you can to share new work in this interesting area.
  • I've been publishing many things in the past months (at my scale of course), all of which you can find in the publications page.

Now for the things scarcely related to research, I've been elected head of the computer science department at the ENSEA, which means that I now have a lot of administrative things to do. If you have any inquiries regarding CS at our graduate school, I guess I am now the guy to ask.

Also, I've been releasing an album with my oldest band, which you can download for free here.

Some Publications, JKMS, ESANN

2014 is set to be a good year! We already have the reviews for a few papers I've been working on lately. Some are in the ML domain (an ICPR paper with Romain Negrel on supervised sparse subspace learning, an ESANN paper with Jérôme Fellus on decentralized PCA), others in CV (2 journals in revision on low level visual descriptors with Olivier Kihl) and 1 in 3D indexing with Hedi Tabia (CVPR poster)

Other than that, I've been pushing version 2.3 of jkms. I've tagged it the "density edition" since most of the changes are related to density estimators (mostly one class SVM). I've introduced the density version of SimpleMKL, which could e useful to perform model selection. Basically, if you set C=1, you'll get a Parzen estimator, albeit selection the kernel from a specific set.

Finally, I'll be in Brugge next week for the ESANN 2014 conference. A good way to start new projects, if anyone volunteers!

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