Computer Vision News - January 2021

20 Women in Computer Vision Siyu Tang is an Assistant Professor at ETH Zurich and an alumni of the Max Planck Institute, where she completed her PhD (in Saarbrücken) and postdoc (in Tübingen). Find here 100 more interviews with Women in Computer Vision! Siyu, what are you working on? My research is about human understanding of images and videos. During my PhD, I did research on human pose estimation, human tracking, and people detection. That is more human understanding from images or videos, standard visual recognition. In my postdoc, I started to explore 3D human modeling. I became interested in human-scene interaction and human- human interaction. It also means that now we have more work modeling human-scene interaction and also hand- object interaction. I have also worked on human-activity understanding from videos. It’s human centric analysis. Why did you decide on this direction? First, this direction has lots of challenging research questions. Also, it has lots of really important applications. If we want, for example, a robot and intelligent systems to really be able to help people, they really need to understand people - their behaviors, their emotions, even their location, also their intentions. What are the applications? From my old PhD works, the tracking and detection application is very “That is the magic of life!”