Jiwon Kim (김지원) [CV]
Contact : kjwdubu2@gmail.com
Research Interest : Robotics, Multispectral Pedestrian Detection, Visual Localization, Computer Vision, Drone
Github : https://github.com/socome -> https://github.com/jiwon1115
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Education & Career
Education & Career
HYUNDAI MOTOR GROUP - Robotics LAB
Aug. 2022 ~ Present
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M.S. Dept. of Intelligent Mechatronics Engineering , Sejong Univ.
Sep. 2020 ~ Aug. 2022
Research Scholarship Student - Hyundai Motor Company [link]
B.S. Double major in Dept. of Aerospace & Mechanical Engineering and Dept. of Computer Science, Sejong Univ.
Mar. 2014 ~ Aug .2020
Graduate with magna cum laude (Relevant GPA 4.09/4.5, Cumulative GPA 4.02/4.5)
Single-Shot Adaptive Fusion Network for Robust Multispectral Pedestrian Detection (Best Paper Award)
32nd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020.
3rd Place Solution to NAVER LABS Mapping & Localization Challenge 2020: Outdoor Track [github]
33rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2021.
Automatic Depression Prediction using Screen Lock/Unlock Data on the Smartphone [paper]
IEEE International Conference on Ubiquitous Robots(UR), 2021.
IEEE Robotics and Automation Letters (RA-L) with IROS, 2021.
Depressive Symptoms Feature-Based Machine Learning Approach to Predicting Depression Using Smartphone
Healthcare, 2022. Co-authorMultispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance
Sensors, 2022. Co-author
Awards
Awards
2016. Grand Prize, "Make Seoul Better" Hackathon, Republic of Korea
2017. Best Excellence Prize, 2nd SW Contest for Military, Republic of Korea Ministry of National Defense
2020. Best Paper Award, the 32th Workshop on Image Processing and Image Understanding (IPIU), Republic of Korea
2020. 3rd Prize, NAVER LABS MAPPING & LOCALIZTION CHALLENGE, Republic of Korea [github]
2021. Best Excellence Prize, 13th IDIS-ETNEWS ICT Paper Contest, Republic of Korea [News]
Skills
Skills
Deep Learning Framework (Pytorch, Tensorflow)
Computer Programming (C/C++, Python, Matlab)
English : TOEIC Speaking - Lv6 (score: 150)
Photos
Photos
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