Difference between revisions of "Yizi Chen"
From LRDE
Line 2: | Line 2: | ||
* Email: ychen@lrde.epita.fr |
* Email: ychen@lrde.epita.fr |
||
− | * Tel: +33 |
+ | * Tel: +33 (0)6 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 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. |
Latest revision as of 18:56, 10 February 2021
Contact
- Email: ychen@lrde.epita.fr
- Tel: +33 (0)6 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