Tell me something about yourself?
My name is Yi-Hsin, Li and I come from Taiwan, a country with freedom. I studied electrical and computer engineering for my BA at National Chiao Tung University in Taiwan and during this time I developed a particular interest in computer vision and machine learning technology. Furthering this interest, I undertook an MSc in electrical engineering and computer science at National Taiwan University. My MSc thesis was about developing deep learning techniques to combat the effect of fisheye image distortion on face recognition. After finishing my master’s degree, I worked as a research assistant in a co-operative project for my supervisor’s group on medical image analysis. During this time, I develop a GAN model to convert optical coherence tomography (OCT) images (a kind of gray-level images) to Tuberculosis (TB) images (a kind of stained images) with my knowledge of the image analysis and my experience with deep learning techniques.
Why did you apply to the PLENOPTIMA project?
First, I am interested in image processing and machine learning. Actually, I have great experience in this field. Second, I’m interested in real-time sports streaming. Specifically, truly immersive experiences of scenes captured by omnidirectional devices. In my opinion, to achieve real-time, compression is the most important issue. Therefore, I applied for the ESR9 position, which is about compression for light field data.
What kind of expectations do you have for your research project and the upcoming network training?
I expect to be inspired by ideas coming from all ESRs and discuss the problems we face, how we tackle them and compare the solution to see the advantages and disadvantages of all the solutions. I also hope to learn about the state-of-the-art techniques in the fields of other ESRs.
What was your favorite subject at school when you were a kid?
Math has been my favorite subject since I was a kid. And I still love it now.
Yi-Hsin works as Early Stage Researcher at the Technische Universität Berlin (TUB), Germany, and her research topic is “Gated Experts Compression of Light Field Video“.