Sejong Yang

Student, Developer, and Researcher


2019.09 - present
I am a Ph.D. Candidate at Yonsei University, supervised by Prof. Seon Joo Kim. I have explored super-resolution, lightweight deep neural network(network pruning), and deepfake classification. Currently, I am very much interested in manipulating images by the generative adversarial network(GAN), 3D morphable model, and multi-modal representation like visual-audio or visual-text.
2018.01 - 2019.08
BEng at Yonsei University. After my experiences in the industry, I see the necessity to learn the core theory of computer science and enjoy the courses. As an undergraduate intern in the lab of Seon Joo Kim(My Ph.D. advisor), I try to find video highlights in baseball games automatically with video summarization methods.
I also spent a wonderful spring semester as an exchange student at Uppsala University in 2018.
I participate in the start-up Blammedia as a developer in 2019. We got the preliminary start-up package investment worth 30M won from the Korea Institute of Startup and Entrepreneurship Development. I learn the market value of technology and product by meeting with venture capitalists.
2016.11 - 2017.11
At Ewoosoft, I participate as a developer of EzMobile, Ez3D-i. I learn how to use Xamarin.Forms, Qt5, and Flask for developing the enterprise-level product. I also become familiar with collaboration/devops tools like Jira, Atlassian, Crucible and Fisheye, Github, and Jenkins with the waterfall development model.
2016.08 - 2016.11
I have software assistant experience at Kakao in 2016 developing a component for openstack. I learn the basics of the network, virtualization, and cloud computing from the experience.
2014.03 - 2016.08
BEng at Yonsei University. This is the place where I know what is ''coding'' for the first time, and I managed to get a degree in computer science from it in the end. As an undergraduate intern in the lab of Seon Joo Kim(My Ph.D. advisor), I conducted for collecting and purifying data for the hyespectral camera.
Publications
Dense Interspecies Face Embedding
NeurIPS 2022
Sejong Yang, Subin Jeon, Seonghyeon Nam, and Seon Joo Kim.
[paper(TODO)] [code] [project page]
SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block
CVPRW 2021
Younghyun Jo, Sejong Yang, and Seon Joo Kim.
[paper] [code]
Investigating loss functions for extreme super-resolution
CVPRW 2020
Younghyun Jo, Sejong Yang, and Seon Joo Kim.
[paper] [code]
Miscellanies