Hojun Son

***- ***- **** ac26qw@r.postjobfree.com

**** ******** **, ********* *** Arbor, MI 48105- 2414 Objective:

Seeking

a

Computer

Vision

engineer

for

2018

internship

and

full

time Education

University

of

Michigan,

Ann

Arbor,

MI,

United

states

Expected:

May

2018 Master’s

Degree:

Electrical

Engineering

and

Computer

Science

(Computer

Vision)

GPA:

3.80/4.0 Courses: EECS 504, EECS 542, ROB599(Self- driving car), EECS 545 Inha

University,

Incheon,

Korea

Graduated:

Feb

2016 Bachelor

Degree:

Computer

Science

GPA:

4.0/4.5,

Major

GPA:

4.2/4.5 Graduate

thesis:

Architecture

of

decision

making

and

prediction

model

for

autonomous

vehicles

at

unprotected

left

turn

traffic signals

Illinois

Institute

of

Technology,

Chicago,

IL

Aug

2014

-

Feb

2015 Exchange

program:

Information

Technology Industry

Experiences

CrossRealms,

Chicago,

United

States

Dec

2014

-

Feb

2015 Intern

of

software

engineering

● Participated

in

non- profit

project

by

developing

recorder

and

MP3

player

with

Arduino

● Built

file

management

class

to

manage

recorded

files

in

Arduino Samsung

Software

Membership,

Seoul,

Korea

Jan

2012

-

Jul

2014 Software

Engineer

● Made

a

visualizer

to

show

metric

information

of

computer

programs

and

built

a

database

structure

with

large

data

● Implemented

a

home

network

simulator

and

viewer

with

Model

View

Controller

pattern

● Ran

Network

Simulator

2

tools

comparing

three

types

of

mac

protocols

and

build

a

visualizer

tool

for

the

result

● Designed

a

book

to

send

which

a

page

is

opened

and

which

an

event

is

touched

on

the

paper

book

to

connected

computer

● Developed

an

Android

application

for

a

road

based

social

network

service

using

GPS

data Academy

Experiences

Navigate

Visually

Impaired

Person,

Ann

Arbor,

University

of

Michigan

May

2017

-

Present Research

Assistant

● Detected

and

classified

crosswalk

signs

using

customized

VGG16

and

Adaboost

algorithm

in

Tensorflow

and

OpenCV

on smart

glasses.

● Implemented

a

tracker

to

return

original

coordinates

of

detected

crosswalk

sign

from

zoomed

images

based

on

optical

flow.

● Focusing

on

using

inertial

data

for

head

tracking

for

robustness

of

tracking

and

staying

of

crosswalk

signs

in

a

view.

● Training

end- to- end

deep

networks

similar

with

SSD

and

Yolo

combined

recurrent

rolling

convolution. Independent

Study,

Ann

Arbor,

University

of

Michigan

Sep

2017

-

Present Research

Assistant

● Implementing

deep

networks

based

on

GOTURN

to

track

objects

such

as

pedestrians

in

Tensorflow.

● Building

a

network

which

is

able

to

detect

cars

and

pedestrians

in

Tensorflow.

● Localization

and

matching

for

detected

objects

on

the

3D

coordinates.

(Not

sure) COVE,

Ann

Arbor,

University

of

Michigan

Oct

2016

–

Aug

2017 Research

Assistant

● Modified

tracker

source

files

to

make

tracker

benchmark

tools

on

Ubuntu

● Annotated

key

points

in

3D

models

to

classify

occluded

classes

in

images

● Implemented

specific

trackers

which

are

using

particle

filter,

color

distribution,

and

mean

shift

in

blob

tracking.

Contact this candidate