Main

processing priority

3

site type

5 (wiki-type site, growing by topic rather than chronologically)

review version

11

html import

20 (imported)

Events

first seen date

2024-09-26 03:30:44

expired found date

-

created at

2024-09-26 03:30:44

updated at

2026-02-03 21:07:01

Domain name statistics

length

19

crc

4158

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

87719371 (github.io)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

23857

mp size raw text

2733

mp inner links count

5

mp inner links status

20 (imported)

Open Graph

title

description

Academic Portfolio webpage for Patrick Kwon (권용재), Deep learning Researcher at Naver Webtoon

image

site name

author

Patrick Kwon

updated

2026-02-02 16:34:11

raw text

Patrick Kwon (권용재) Toggle navigation about (current) blog publications repositories cv submenus publications projects Patrick Kwon (권용재) [CV] [Twitter] [Linkedin] [Google Scholar] [Github] I am a full-time research scientist at Naver Webtoon Corp. studying computer vision, graphics, and AI. Previously, I received my Master’s degree at Columbia University studying machine learning and human-computer interaction within augmented reality. Recently I have worked with Professor Hanbyul Joo and SNU VCLab in solving 3D reconstruction and affordance problems. My main research goal is in embedding human prior knowledge within generative AI systems. Specifically, I aspire to create AI systems that has a human level understanding towards visual context, which in turn will pave way for novel solutions in the field of computer vision. For instance, how can we aid video generation models to better understand human-object interaction? And how can we utilize s...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

AI [en] (229)

index version

2025123101

spam phrases

0

Text statistics

text nonlatin

6

text cyrillic

0

text characters

2090

text words

382

text unique words

240

text lines

89

text sentences

15

text paragraphs

3

text words per sentence

25

text matched phrases

2

text matched dictionaries

3

RSS

rss path

rss status

1 (priority 1 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

40 (completed successful import of reports.txt file to table in_pages)

sitemap review version

2

sitemap urls count

32

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2024-09-26 03:30:44

sitemap process date

2024-09-26 03:30:44

sitemap first import date

-

sitemap last import date

2026-01-27 04:02:24