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.

Seminar by Piotr Koniusz, tuesday 10th jan. 2012

Tomorrow, Peter (University of Surrey) will be showing us the latest advances of his work in computer vision. The seminar is open to anyone willing to attend, but the entrance of the lab can be difficult if you're not working here. Please send me an email if you're coming so I can make things easier.

This presentation focuses on a number of steps in Bags-Of-Words including: i) segmentation-based descriptor design, ii) descriptor-to-visual-vocabulary coding step including Soft Assignment and its connection to Linear Coordinate Coding methods, and iii) Spatial Coordinate Coding to reduce histogram representations with Dominant Angle and Colour Pyramid Match to exploit non-spatial bias in images.
Regarding i), segmentation-based image descriptors for object category recognition were investigated. In contrast to commonly used interest points the proposed descriptors are extracted from pairs of adjacent regions given by a segmentation method. In this way we exploit semi-local structural information from the image.
Regarding ii), we show that one can take two views on Soft Assignment: an approach derived from Gaussian Mixture Model or special case of Linear Coordinate Coding. The latter view helped us propose how to optimise smoothing factor of Soft Assignment in a way that minimises descriptor reconstruction error and maximises classification performance.
Regarding iii), alternative ways of introducing spatial information during formation of histograms were investigated. Specifically, we proposed to apply spatial location information at a descriptor level (Spatial Coordinate Coding). Lastly, we demonstrated that Pyramid Match can be applied robustly to other measurements: Dominant Angle and Colour.

Info: Tuesday 10th jan, 15h, room 384, ENSEA