Deep Semantic Matching with Application to Image Morphing and Hybrids

• What we'll do
Hi all,

We are very excited to have Kfir Aberman for a talk on deep semantic matching and its applications in computer graphics.

Abstract
Correspondence between images is a fundamental problem in computer vision, with a variety of graphical applications. In this talk we will present a new method that demonstrates the abilities of deep features of classification network to precisely localize corresponding points between two images.
Our method is designed for pairs of images where the main objects of interest may belong to different semantic categories and differ drastically in shape and appearance, yet still contain semantically related or geometrically similar parts.
The usefulness of our method is demonstrated using a variety of graphics applications, including cross-domain image alignment, creation of hybrid images, automatic image morphing, and more

Bio
Kfir is an Israeli researcher in the advanced innovation center for future visual entertainment in Beijing, China - a research center located in the heart of the Chinese movies industry. Kfir has experience of several years in computer vision, visual data analysis and visual effects. Kfir holds a BSc and MSc in electrical engineering from the Technion and is currently pursuing his PhD in Tel-Aviv University.

• What to bring

• Important to know