Research Sharing with UBDA
Workshop
-
Date
16 Dec 2022
-
Organiser
-
Time
10:30 - 11:30
-
Venue
Summary
You are cordially invited to attend an online workshop organized by UBDA. The workshop is designed for researchers who want to gain some research insights and also the experience in using UBDA. Details are as follows:
|
Title |
Research Sharing with UBDA (Poster) |
|
|
Date |
16 Dec 2022 (Friday) |
|
|
Time |
10:30 – 11:30 |
|
| Venue | Live Online (Microsoft Teams) | |
|
Registration |
All are welcome https://www.polyu.edu.hk/pfs/index.php/478359?lang=en |
|
| Speakers | Dr Divya Saxena |
|
| Bio |
Dr Divya Saxena is currently working as a Research Assistant Professor in the Department of Computing, The Hong Kong Polytechnic University. Dr Saxena’s research interests include Generative Adversarial Networks (GANs), Deep Learning, and Spatio-temporal Data Mining. | |
|
Topic |
Generative Adversarial Networks (GANs) for Image-to-Image Translation |
|
| Abstract | Image-to-Image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations. I2I has drawn increasing attention and made tremendous progress in recent years because of its wide range of applications in many computer vision and image processing problems, such as image synthesis, segmentation, style transfer, restoration, and pose estimation. In this talk, Dr Divya would like to share an overview of the I2I works developed in recent years. She will analyze the key techniques of the existing I2I works and clarify the main progress the community has made. Additionally, she will elaborate on the effect of I2I on the research and industry community and point out remaining challenges in related fields. She will also provide a step-by-step guide on how to train GANs for Image-to-Image translation task using Keras/Pytorch. |
Should you have any enquiries, please contact Dr Jackei Wong at jackei.wong@polyu.edu.hk
