Curriculum Vitae

Summary

·       Highly motivated graduate school applicant with particular interest in computer vision

·       Constantly study deep learning by reading relevant papers and implementing code

·       2+ years of work experience in camera based Self-driving field

 

Work Experiences

Junior Algorithm Engineer - 02/2020 to present

Stradvision, Seoul

·       Investigated methods to enhance accuracy of object’s features measured by multiple view geometry from fisheye image

·       Applied digital filter to decrease noise of object’s features such as height, velocity, and time-to-collision

·       Applied modified structure of Kalman filter on heading angle to reduce the cases of jumped output value

·       Visualized outputs on bird-eye-view by integrating object’s features

·       Researched LiDAR based 3D object detection model to generate ground truth from LiDAR

·       Calibrated intrinsic and extrinsic parameter of fisheye camera

·       Generated top-view from 4 channel camera and corrected color of each camera by histogram matching

·       Optimized top-view generation code by look-up-table

·       Sorted data in a manner that programmer could easily use necessary data, and create ground truth collected by DGPS

 

Research Intern - 10/2019 to 12/2019

POSTECH Institute of Artificial Intelligence, Pohang

·       Carried out a project on detecting hand signals indicating dangerous situation using pose estimation and classification

·       Trained skeleton model (VNect) with hand gesture dataset

·       Modified the code for skeleton output to be used for classification

·      https://github.com/kim-seoyoung/hand_signal_recognition_for_safety

 

Activities

PRML Reading Group – 05/2022 to present

·       Read and presented Pattern Recognition and Machine Learning (Bishop, Christopher M., New York: Springer, 2006.)

·       https://github.com/prml-2022-05/prml-2022-05

Code Study Group – 09/2021 to 02/2022

·       Implement object detection model (Faster-RCNN, YOLO)

·       https://github.com/deep-two

 

Paper and Code Reading Study Group – 06/2020 to 08/2021

·       Organized and led the group

·       Summarized and presented articles and relevant code on object detection and knowledge distillation

·       Studied papers of various subject (ex. Transformer, Segmentation, Contrastive Learning)

·       Notion link

 

Deep Learning Paper Study Group – 03/2020 to 10/2020

·       Summarized and presented articles on pruning (ex. lottery ticket hypothesis)

·       Presentation video1

·       Presentation video2

 

Intel AI drone competition – 08/2019

·       Trained classification model for drone using Intel Caffe and OpenVINO

·       Improved test accuracy of the model using augmentation in Keras

 

POSCO AI·Bigdata Academy – 07/2019 to 09/2019

·       Received an award for excellent performance in the AI program provided by POSTECH/POSCO

·       Carried out the project of self-driving RC car (donkey car) using reinforce learning

·      https://github.com/7-B/learning-to-drive-in-5-minutes

 

Skills

Python	Pytorch	OpenCV
C++	Pandas	Ubuntu

 

Education

Bachelor’s degree: Chemical biological Engineering                                                March 2014 – February 2020

Korea University, Seoul                                                                                                                    GPA 3.62 / 4.5

 

Certifications

TOEIC                                                                                                                                                          930/990