Curriculum Vitae

Research Interests

My research interests are in the area of computer vision and machine learning. I researched deep-learning-based object detection, knowledge distillation and deep metric learning.

Korea University (Seoul, Republic of Korea)
Master of Science in Electrical Engineering (Feb, 2019)
Advisor: Sung-Jae Ko
GPA: 4.44/4.5
Dongguk University (Seoul, Republic of Korea)
Bachelor of Science in Electrical Engineering (Feb, 2017)
GPA: 4.21/4.5
Honers: Summa Cum Laude

Deep-View (Aug 2017 - Dec 2018)
Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis, Institute for Information communications Tech- nology Promotion (IITP)
CNN-based Instance Segmentation (Mar - July 2017)
Development of high speed DNN based video segmentation technology, LG Electronics Co., Ltd.

Seung-Wook Kim, Hyong-Keun Kook, Jee-Young Sun, Mun-Cheon Kang, and Sung- Jea Ko, “Parallel feature pyramid network for object detection,” ECCV 2018, Munich, Germany, 2018.
Hyong-Keun Kook, Seung-Wook Kim, Sang-Won Lee, Young-Hyun Kim, and Sung- Jea Ko, “Object detection with multi-scale context aggregation,” ICEIC 2018, Hawaii, USA, 2018.
Seung-Wook Kim, Hyong-Keun Kook, Young-Hyun Kim, Jee-Young Sun, and Sung- Jea Ko, “Single shot object detection using spatial pyramid pooling,” ICEIC 2018, Hawaii, USA, 2018.
Sung-Jin Cho, Seung-Wook Kim, Kwang-Hyun Uhm, Hyong-Keun Kook, and Sung- Jea Ko, “Learning an object detector using zoomed object regions,” ICEIC 2019, Auck- land, New Zealand, 2019.

NAVER AI Hackathon (Jan - Feb 2019)
Image retrieval challenge on general product images
Winner of Hackathon (1st place)
LINK+ Capstone Design Competition (Mar - Sep 2016)
Competition on electrical engineering & computer science
Runner-up of Competition (2nd place)