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.


Carousel imageCarousel imageCarousel imageCarousel imageCarousel imageCarousel imageCarousel imageCarousel image

News

  • [New] Our paper got accepted at AAAI 2022. Congrats all the coauthors!

  • [New] Hyperscale AI project with KakaoBrain (2021-2024) [AI Times (AI 타임스 기사)].

  • [New] Two papers got accepted at NeurIPS 2021. Congrats all the coauthors!

  • [New] Minkyu Jeon started working at the Broad Institute of MIT and Havard as a visiting student.

  • [New] Our paper got accepted at ICCV 2021. Congrats all the coauthors!

  • [New] Our paper got accepted at CVPR 2021 as an oral presentation. Congrats all the coauthors!

  • SeungJun Lee and Chongkeun Paik won the 2nd place and the prize grant (600,000,000 KRW) in AI Grand Challenge for disaster response drones.

  • Our paper got accepted to NeurIPS 2020. Congrats all the coauthors!

  • Our two papers got accepted to ECCV 2020. Congrats all the coauthors!

  • Congratulations to our lab Ph.D. student Seongjun Yun who has just been selected for an internship at Amazon in US.

  • Congratulations to our lab Ph.D. student Seongjun Yun who has just been selected for a summer internship at Facebook in UK.

  • Our "Graph Transformer Networks" got accepted to NeurIPS 2019. Congrats all the coauthors!

  • [2019/06/28] 정보과학회 튜토리얼 (KCC Tutorial) Geometric Deep Learning for Manifold-valued Data and Graphs

  • [2019/03/19] Talk on Computer Vision and Research at MLV Lab. 5PM Woojung Hall #601.

  • [2018/04] Poster presentation at AMLC (Amazon Machine Learning Conference, "Amazonian" only).

  • [2017/09] Talk at DeepMind, Google.