Machine Learning & Vision Lab

Machine Learning & Vision Lab

Machine Learning and Vision Lab (MLV) led by Hyunwoo J. Kim at Korea University started in March 2019. The PI (Hyunwoo J Kim) is an assistant professor (2019~present). Prior to the position, he worked at Amazon Lab126 in Sunnyvale California. In 2017, he earned the Ph.D. in the Department of Computer Sciences at the University of Wisconsin-Madison (Ph.D. minor: statistics) under the supervision of Dr. Vikas Singh. In 2013, he completed his internship in the Machine Learning Analytics Team at Amazon in Seattle Washington. 

The Machine Learning and Vision Lab (MLV). We are tackling fundamental open problems in machine learning and computer vision to achieve a deep understanding of the visual world. High-level visual perception involves automated image and video analysis, computational geometry, and visual reasoning.  Graphs, highly structured knowledge, images, and videos lead us to study the underlying non-Euclidean space and generalize models, including deep neural networks, to manifolds, and graphs. We develop efficient and scalable solutions to handle real-world visual data on a large scale as well as in resource-limited environments. We have been actively publishing at AI venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML etc.).  Specifically, our research interests include deep learning, AI for autonomous vehicles (e.g., drones and cars), 3D vision, graph neural networks, and medical imaging

We have openings for graduate students (대학원 지원), and undergraduate interns (학부인턴). If interested, email us.


Supports & Collaborators