AI Seminar: What can we learn from subtitled sign language data?

▤ Summary

Gül Varol is a permanent researcher at the IMAGINE team of École des Ponts ParisTech. Previously, she was a postdoctoral researcher at the University of Oxford (VGG), working with Andrew Zisserman. She obtained her PhD from the WILLOW team of Inria Paris and École Normale Supérieure (ENS). Her research is focused on computer vision, specifically human understanding in videos, such as action recognition, body shape and motion analysis, and sign languages Research on sign language technologies has suffered from the lack of data to train machine learning models. This talk will describe our recent efforts on scalable approaches to automatically annotate continuous sign language videos with the goal of building a large-scale dataset.

▦ Linked Companies