User

Difference between revisions of "Yizi Chen"

From LRDE

Line 4: Line 4:
 
* Tel: +33 06 66 04 95 46
 
* Tel: +33 06 66 04 95 46
   
I graduated with my master of research at [https://www.tudelft.nl/ Université de Technologie de Delft, Néerlandais] in 2019 in the field of Master of Computer science. I have worked at LRDE in the [[Olena]] project since December 2019.
+
I graduated with my master of research at [https://www.tudelft.nl/ Université de Technologie de Delft, Néerlandais] in 2019 in the field of Master of Computer science.
  +
I have worked at LRDE in the [[Olena]] project since December 2019.
   
 
== Current status ==
 
== Current status ==

Revision as of 18:54, 10 February 2021

Contact

  • Email: ychen@lrde.epita.fr
  • Tel: +33 06 66 04 95 46

I graduated with my master of research at Université de Technologie de Delft, Néerlandais in 2019 in the field of Master of Computer science. I have worked at LRDE in the Olena project since December 2019.

Current status

PhD student:

  • Project: ANR (SoDuCo) Social Dynamics in Urban Context.
  • Subject: Applying state-of-the-art Deep Learning / Computer vision techniques to help historical image vectorization and digitization.
  • Doctoral school: University Paris-Est, Ecole Doctorale MSTIC
  • Advisors: Julien Perret (IGN), Joseph Chazalon (LRDE)

Publications

Chen, Y.; Gao, W.; Widyaningrum, E.; Zheng, M.; Zhou, Kaixuan, BUILDING CLASSIFICATION OF VHR AIRBORNE STEREO IMAGES USING FULLY CONVOLUTIONAL NETWORKS AND FREE TRAINING SAMPLES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4, 2018

Zhou, K.; Chen, Y.; Smal, I.; Lindenbergh, R, Building segmentation from airborne VHR images using Mask R-CNN The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W13, 2019