-
The Insane World Of North Korean Hackers
Go to https://piavpn.com/Cipher to get 83% off Private Internet Access with 4 months free!
0:00 Intro
0:54 Chapter 1: Growing Up In North Korea
6:56 Chapter 2: North Koreas Hacking History
9:23 Chapter 3: The Lazarus Group
11:55 Chapter 4: Life As A Cyber Warrior
14:07 Chapter 5: Defecting In North Korea
This video idea and intro was inspired by:
https://www.youtube.com/watch?v=xrzfZm4UIr4&t=42s&ab_channel=BBCWorldService
In December 2016, hundreds of high school students from around the world gathered in Hong Kong for a global competition. These students were the top math talents from their countries, participating in one of the world's most prestigious events, the Mathematical Olympiad.
Among them was a team from one of the world's most secretive and secluded countries: North Korea....
published: 23 Sep 2024
-
LEMMiNO - Cipher (BGM)
This background music was made specifically for "Cicada 3301: An Internet Mystery" which can be viewed here: https://www.youtube.com/watch?v=I2O7blSSzpI
If you want to use this music in your own project, please read this: https://www.lemmi.no/music
Lossless .FLAC file is available for download on SoundCloud: https://soundcloud.com/lemmino/cipher
Patreon: https://www.patreon.com/lemmino
Twitter: https://www.twitter.com/lemmin0
Subreddit: https://www.reddit.com/r/lemmino
Discord: https://www.discord.gg/lemmino
published: 02 Sep 2020
-
Cipher
Provided to YouTube by Routenote
Cipher · Kevin MacLeod
Light Electronic
℗ Kevin MacLeod
Released on: 2014-12-27
Auto-generated by YouTube.
published: 26 Mar 2020
-
How A Printer Lost A Country $81,000,000
#heist #hacker #cybercrime
On the morning of February 7th, 2016, director of Bangladesh Bank Zubair Bin Huda, takes the elevator and gets off on the 10th floor. He walks briskly into the most restricted part of the building, his mind fixated on the problem that has plagued his office for the past couple of days – the printer. This isn’t just any printer: It’s an automated machine hooked up to the bank's software, designed to print transaction reports instantly, automatically, and 24/7.
This printer was a big deal, and the empty tray represented a huge problem. After troubleshooting the issue for two days, the printer finally comes back online! But then, a backlog of more than expected reports started rolling out, and it was soon obvious that something wasn’t right. The New York Federal ...
published: 27 Jun 2024
-
Bill Cipher Just Got Ripped Off
Gravity Falls went through a renaissance thanks to The Book of Bill Cipher, and now series creator Alex Hirsch is heading to New York Comic Con to talk about the book! Along with the announcement, he's holding a special costume contest and introduced a brand new Bill Cipher ripoff character. The Internet rolled with it.
SOURCE: https://x.com/_AlexHirsch/status/1842731812872933641
Welcome to Vailskibum!
Cartoon News ✧ Reviews ✧ Discussions
Subscribe to keep up with my videos → http://bit.ly/18ZdpzY
New to the channel? Check this out → https://bit.ly/2LfZv0t
✭ SOCIAL MEDIA ✭
TWITTER → https://twitter.com/Vailskibum94
INSTAGRAM → https://www.instagram.com/therealvailskibum94
BUSINESS E-MAIL → [email protected]
My videos are produced with the editor Camtasia Studio 2024 and I ...
published: 14 Oct 2024
-
The Hunt For Asia's Most Wanted Criminal
#tsechilop #druglords #moneylaundering
In November of 2016, a Taiwanese man named Cai Jeng Ze walked nervously through Yangon International Airport in Myanmar, en route to Taiwan. He is stopped by airport police and upon inspection they find 80 grams of ketamine taped to each of his thighs and arrest him.
Cai was just a courier, but what he carried on his two iPhones was far more valuable than the drugs on his body. When anti-narcotic agents hacked into his devices, they discovered a gold mine of information: a large collection of texts, calls, photos, videos, and social media conversations. Among the photos was a face of a man known from numerous drug surveillance operations: Tse Chi Lop.
Unknown at the time, Tse ran an empire worth more than the likes of Pablo Escobar and El Chapo co...
published: 11 Aug 2024
-
The Unbreakable Kryptos Code
[Credits, References, and More]
https://www.lemmi.no/p/the-unbreakable-kryptos-code
Become a channel member or join my Patreon with the links below. Both offer the same perks. YouTube members also get unique badges that highlight their comments and gain access to custom emojis.
YouTube Membership: https://www.youtube.com/channel/UCRcgy6GzDeccI7dkbbBna3Q/join
Patreon: https://www.patreon.com/lemmino
Subreddit: https://www.reddit.com/r/lemmino
Twitter: https://www.twitter.com/lemmin0
Discord: https://www.discord.gg/lemmino
[Chapters]
00:00 Intro
02:30 The Vigenère Table
05:45 Partial Decipherment of Kryptos
07:46 Identifying Ciphers Within the Code
11:09 Breaking K2
15:21 Breaking K3 and K1
17:49 The K1-K3 Plaintext
24:02 The Mystery of K4
27:21 The Intended Solutions
36:50 The IDBYROWS ...
published: 04 May 2024
-
frog farm code today | 14 oct cipher code | frog farm airdrop cipher code today | #frogfarm #frog
Frog Farm ➤ https://t.me/frogfarmbot/frogfarm?startapp=514699074
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Admin-Tech Help In Hindi
Crypto Trading Analyst, Mentor, Crypto Signal & Trading Tutorial Provider & Youtuber
*******...
published: 14 Oct 2024
-
Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty & Denzel Curry 2016 XXL Freshman Cypher
Watch Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty and Denzel Curry go to work in their XXL Freshman 2016 cypher.
Subscribe XXL's channel: http://youtube.com/@XXLMagazine?sub_confirmation=1
Get your FRESHMAN 2016 Cypher Shirt: https://shop.xxlmag.com/products/rapper-t-shirt
Read the latest hip-hop news: http://www.xxlmag.com
Connect with us on socials!
https://twitter.com/XXL
https://instagram.com/xxl/
https://facebook.com/xxlmag
#xxl #xxlfreshman
published: 06 Jul 2016
19:19
The Insane World Of North Korean Hackers
Go to https://piavpn.com/Cipher to get 83% off Private Internet Access with 4 months free!
0:00 Intro
0:54 Chapter 1: Growing Up In North Korea
6:56 Chapter 2:...
Go to https://piavpn.com/Cipher to get 83% off Private Internet Access with 4 months free!
0:00 Intro
0:54 Chapter 1: Growing Up In North Korea
6:56 Chapter 2: North Koreas Hacking History
9:23 Chapter 3: The Lazarus Group
11:55 Chapter 4: Life As A Cyber Warrior
14:07 Chapter 5: Defecting In North Korea
This video idea and intro was inspired by:
https://www.youtube.com/watch?v=xrzfZm4UIr4&t=42s&ab_channel=BBCWorldService
In December 2016, hundreds of high school students from around the world gathered in Hong Kong for a global competition. These students were the top math talents from their countries, participating in one of the world's most prestigious events, the Mathematical Olympiad.
Among them was a team from one of the world's most secretive and secluded countries: North Korea.
Six young men stepped forward, dressed in white dress shirts and black pants, with loyalty badges of the Kims pinned over their hearts. Among them was Jong Yol-ri, visibly more anxious than his peers. While his teammates smiled, Jong Yol kept glancing to the side, worried about something far more important than solving equations: his freedom…
Resources: https://docs.google.com/document/d/1fr0MM0IKSXs1VWKgmgA41ERwyTbAiETNyJPFbeAOsNA/edit?usp=sharing
#northkorea #hacking #northkoreanhackers #northkoreandefector
Become A Cipher Member
https://www.youtube.com/channel/UC9L5cZrS5nQMXmckFJBFI6w/join
Join Our Patreon:
https://www.patreon.com/CipherHD
https://wn.com/The_Insane_World_Of_North_Korean_Hackers
Go to https://piavpn.com/Cipher to get 83% off Private Internet Access with 4 months free!
0:00 Intro
0:54 Chapter 1: Growing Up In North Korea
6:56 Chapter 2: North Koreas Hacking History
9:23 Chapter 3: The Lazarus Group
11:55 Chapter 4: Life As A Cyber Warrior
14:07 Chapter 5: Defecting In North Korea
This video idea and intro was inspired by:
https://www.youtube.com/watch?v=xrzfZm4UIr4&t=42s&ab_channel=BBCWorldService
In December 2016, hundreds of high school students from around the world gathered in Hong Kong for a global competition. These students were the top math talents from their countries, participating in one of the world's most prestigious events, the Mathematical Olympiad.
Among them was a team from one of the world's most secretive and secluded countries: North Korea.
Six young men stepped forward, dressed in white dress shirts and black pants, with loyalty badges of the Kims pinned over their hearts. Among them was Jong Yol-ri, visibly more anxious than his peers. While his teammates smiled, Jong Yol kept glancing to the side, worried about something far more important than solving equations: his freedom…
Resources: https://docs.google.com/document/d/1fr0MM0IKSXs1VWKgmgA41ERwyTbAiETNyJPFbeAOsNA/edit?usp=sharing
#northkorea #hacking #northkoreanhackers #northkoreandefector
Become A Cipher Member
https://www.youtube.com/channel/UC9L5cZrS5nQMXmckFJBFI6w/join
Join Our Patreon:
https://www.patreon.com/CipherHD
- published: 23 Sep 2024
- views: 932625
3:18
LEMMiNO - Cipher (BGM)
This background music was made specifically for "Cicada 3301: An Internet Mystery" which can be viewed here: https://www.youtube.com/watch?v=I2O7blSSzpI
If you...
This background music was made specifically for "Cicada 3301: An Internet Mystery" which can be viewed here: https://www.youtube.com/watch?v=I2O7blSSzpI
If you want to use this music in your own project, please read this: https://www.lemmi.no/music
Lossless .FLAC file is available for download on SoundCloud: https://soundcloud.com/lemmino/cipher
Patreon: https://www.patreon.com/lemmino
Twitter: https://www.twitter.com/lemmin0
Subreddit: https://www.reddit.com/r/lemmino
Discord: https://www.discord.gg/lemmino
https://wn.com/Lemmino_Cipher_(Bgm)
This background music was made specifically for "Cicada 3301: An Internet Mystery" which can be viewed here: https://www.youtube.com/watch?v=I2O7blSSzpI
If you want to use this music in your own project, please read this: https://www.lemmi.no/music
Lossless .FLAC file is available for download on SoundCloud: https://soundcloud.com/lemmino/cipher
Patreon: https://www.patreon.com/lemmino
Twitter: https://www.twitter.com/lemmin0
Subreddit: https://www.reddit.com/r/lemmino
Discord: https://www.discord.gg/lemmino
- published: 02 Sep 2020
- views: 4355588
3:52
Cipher
Provided to YouTube by Routenote
Cipher · Kevin MacLeod
Light Electronic
℗ Kevin MacLeod
Released on: 2014-12-27
Auto-generated by YouTube.
Provided to YouTube by Routenote
Cipher · Kevin MacLeod
Light Electronic
℗ Kevin MacLeod
Released on: 2014-12-27
Auto-generated by YouTube.
https://wn.com/Cipher
Provided to YouTube by Routenote
Cipher · Kevin MacLeod
Light Electronic
℗ Kevin MacLeod
Released on: 2014-12-27
Auto-generated by YouTube.
- published: 26 Mar 2020
- views: 487505
15:58
How A Printer Lost A Country $81,000,000
#heist #hacker #cybercrime
On the morning of February 7th, 2016, director of Bangladesh Bank Zubair Bin Huda, takes the elevator and gets off on the 10th floo...
#heist #hacker #cybercrime
On the morning of February 7th, 2016, director of Bangladesh Bank Zubair Bin Huda, takes the elevator and gets off on the 10th floor. He walks briskly into the most restricted part of the building, his mind fixated on the problem that has plagued his office for the past couple of days – the printer. This isn’t just any printer: It’s an automated machine hooked up to the bank's software, designed to print transaction reports instantly, automatically, and 24/7.
This printer was a big deal, and the empty tray represented a huge problem. After troubleshooting the issue for two days, the printer finally comes back online! But then, a backlog of more than expected reports started rolling out, and it was soon obvious that something wasn’t right. The New York Federal reserve received instructions to drain their entire account. Panic erupted as employees rushed to stop the transaction, but it was likely too late. – Bangladesh had just lost 1 billion dollars.
https://wn.com/How_A_Printer_Lost_A_Country_81,000,000
#heist #hacker #cybercrime
On the morning of February 7th, 2016, director of Bangladesh Bank Zubair Bin Huda, takes the elevator and gets off on the 10th floor. He walks briskly into the most restricted part of the building, his mind fixated on the problem that has plagued his office for the past couple of days – the printer. This isn’t just any printer: It’s an automated machine hooked up to the bank's software, designed to print transaction reports instantly, automatically, and 24/7.
This printer was a big deal, and the empty tray represented a huge problem. After troubleshooting the issue for two days, the printer finally comes back online! But then, a backlog of more than expected reports started rolling out, and it was soon obvious that something wasn’t right. The New York Federal reserve received instructions to drain their entire account. Panic erupted as employees rushed to stop the transaction, but it was likely too late. – Bangladesh had just lost 1 billion dollars.
- published: 27 Jun 2024
- views: 759853
3:25
Bill Cipher Just Got Ripped Off
Gravity Falls went through a renaissance thanks to The Book of Bill Cipher, and now series creator Alex Hirsch is heading to New York Comic Con to talk about th...
Gravity Falls went through a renaissance thanks to The Book of Bill Cipher, and now series creator Alex Hirsch is heading to New York Comic Con to talk about the book! Along with the announcement, he's holding a special costume contest and introduced a brand new Bill Cipher ripoff character. The Internet rolled with it.
SOURCE: https://x.com/_AlexHirsch/status/1842731812872933641
Welcome to Vailskibum!
Cartoon News ✧ Reviews ✧ Discussions
Subscribe to keep up with my videos → http://bit.ly/18ZdpzY
New to the channel? Check this out → https://bit.ly/2LfZv0t
✭ SOCIAL MEDIA ✭
TWITTER → https://twitter.com/Vailskibum94
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BUSINESS E-MAIL →
[email protected]
My videos are produced with the editor Camtasia Studio 2024 and I use a Blue Yeti Microphone to record. All scripts are written by me. Any footage used is from various TV shows, movies, and games to illustrate my personal thoughts on these pieces of media. All stock photos and images are either created by me or are sourced from publicly viewable image websites. This criticism, comment, or news reporting falls under Fair Use (The Copyright Act of 1976, Section 107). If you are interested in viewing full cartoon episodes/movies or playing entire video games, please buy the DVDs and games from the media companies providing them.
Vailskibum videos may contain swearing, violence, references to drug use, or other mature themes. This video should not be viewed by anyone under 13 years old at any time.
https://wn.com/Bill_Cipher_Just_Got_Ripped_Off
Gravity Falls went through a renaissance thanks to The Book of Bill Cipher, and now series creator Alex Hirsch is heading to New York Comic Con to talk about the book! Along with the announcement, he's holding a special costume contest and introduced a brand new Bill Cipher ripoff character. The Internet rolled with it.
SOURCE: https://x.com/_AlexHirsch/status/1842731812872933641
Welcome to Vailskibum!
Cartoon News ✧ Reviews ✧ Discussions
Subscribe to keep up with my videos → http://bit.ly/18ZdpzY
New to the channel? Check this out → https://bit.ly/2LfZv0t
✭ SOCIAL MEDIA ✭
TWITTER → https://twitter.com/Vailskibum94
INSTAGRAM → https://www.instagram.com/therealvailskibum94
BUSINESS E-MAIL →
[email protected]
My videos are produced with the editor Camtasia Studio 2024 and I use a Blue Yeti Microphone to record. All scripts are written by me. Any footage used is from various TV shows, movies, and games to illustrate my personal thoughts on these pieces of media. All stock photos and images are either created by me or are sourced from publicly viewable image websites. This criticism, comment, or news reporting falls under Fair Use (The Copyright Act of 1976, Section 107). If you are interested in viewing full cartoon episodes/movies or playing entire video games, please buy the DVDs and games from the media companies providing them.
Vailskibum videos may contain swearing, violence, references to drug use, or other mature themes. This video should not be viewed by anyone under 13 years old at any time.
- published: 14 Oct 2024
- views: 158937
25:17
The Hunt For Asia's Most Wanted Criminal
#tsechilop #druglords #moneylaundering
In November of 2016, a Taiwanese man named Cai Jeng Ze walked nervously through Yangon International Airport in Myanmar...
#tsechilop #druglords #moneylaundering
In November of 2016, a Taiwanese man named Cai Jeng Ze walked nervously through Yangon International Airport in Myanmar, en route to Taiwan. He is stopped by airport police and upon inspection they find 80 grams of ketamine taped to each of his thighs and arrest him.
Cai was just a courier, but what he carried on his two iPhones was far more valuable than the drugs on his body. When anti-narcotic agents hacked into his devices, they discovered a gold mine of information: a large collection of texts, calls, photos, videos, and social media conversations. Among the photos was a face of a man known from numerous drug surveillance operations: Tse Chi Lop.
Unknown at the time, Tse ran an empire worth more than the likes of Pablo Escobar and El Chapo combined. McDonald's, Starbucks, HP, Kraft Heinz—some of the largest corporations in the world couldn't come close to what Tse generated in annual revenue. Tse surpassed them all.
Law enforcement agencies from around the world quickly mobilized, sharing resources and intelligence to dismantle Tse’s vast network and take him down.
The hunt for Asia's most wanted criminal had begun.
Our thumbnail is inspired by @fern-tv
Become A Cipher Member
https://www.youtube.com/channel/UC9L5cZrS5nQMXmckFJBFI6w/join
Join Our Patreon:
https://www.patreon.com/CipherHD
0:00 Intro
1:28 Chapter 1: The Rise Of Tse Chi Lop
8:49 Chapter 2: A New Opportunity
12:17 Chapter 3: Building An Empire
20:34 Chapter 4: Everything Comes to an End
https://wn.com/The_Hunt_For_Asia's_Most_Wanted_Criminal
#tsechilop #druglords #moneylaundering
In November of 2016, a Taiwanese man named Cai Jeng Ze walked nervously through Yangon International Airport in Myanmar, en route to Taiwan. He is stopped by airport police and upon inspection they find 80 grams of ketamine taped to each of his thighs and arrest him.
Cai was just a courier, but what he carried on his two iPhones was far more valuable than the drugs on his body. When anti-narcotic agents hacked into his devices, they discovered a gold mine of information: a large collection of texts, calls, photos, videos, and social media conversations. Among the photos was a face of a man known from numerous drug surveillance operations: Tse Chi Lop.
Unknown at the time, Tse ran an empire worth more than the likes of Pablo Escobar and El Chapo combined. McDonald's, Starbucks, HP, Kraft Heinz—some of the largest corporations in the world couldn't come close to what Tse generated in annual revenue. Tse surpassed them all.
Law enforcement agencies from around the world quickly mobilized, sharing resources and intelligence to dismantle Tse’s vast network and take him down.
The hunt for Asia's most wanted criminal had begun.
Our thumbnail is inspired by @fern-tv
Become A Cipher Member
https://www.youtube.com/channel/UC9L5cZrS5nQMXmckFJBFI6w/join
Join Our Patreon:
https://www.patreon.com/CipherHD
0:00 Intro
1:28 Chapter 1: The Rise Of Tse Chi Lop
8:49 Chapter 2: A New Opportunity
12:17 Chapter 3: Building An Empire
20:34 Chapter 4: Everything Comes to an End
- published: 11 Aug 2024
- views: 568156
47:01
The Unbreakable Kryptos Code
[Credits, References, and More]
https://www.lemmi.no/p/the-unbreakable-kryptos-code
Become a channel member or join my Patreon with the links below. Both offer...
[Credits, References, and More]
https://www.lemmi.no/p/the-unbreakable-kryptos-code
Become a channel member or join my Patreon with the links below. Both offer the same perks. YouTube members also get unique badges that highlight their comments and gain access to custom emojis.
YouTube Membership: https://www.youtube.com/channel/UCRcgy6GzDeccI7dkbbBna3Q/join
Patreon: https://www.patreon.com/lemmino
Subreddit: https://www.reddit.com/r/lemmino
Twitter: https://www.twitter.com/lemmin0
Discord: https://www.discord.gg/lemmino
[Chapters]
00:00 Intro
02:30 The Vigenère Table
05:45 Partial Decipherment of Kryptos
07:46 Identifying Ciphers Within the Code
11:09 Breaking K2
15:21 Breaking K3 and K1
17:49 The K1-K3 Plaintext
24:02 The Mystery of K4
27:21 The Intended Solutions
36:50 The IDBYROWS Mishap
39:56 The K4 Clues
41:44 Hypothetical Solutions to K4
45:45 Outro
https://wn.com/The_Unbreakable_Kryptos_Code
[Credits, References, and More]
https://www.lemmi.no/p/the-unbreakable-kryptos-code
Become a channel member or join my Patreon with the links below. Both offer the same perks. YouTube members also get unique badges that highlight their comments and gain access to custom emojis.
YouTube Membership: https://www.youtube.com/channel/UCRcgy6GzDeccI7dkbbBna3Q/join
Patreon: https://www.patreon.com/lemmino
Subreddit: https://www.reddit.com/r/lemmino
Twitter: https://www.twitter.com/lemmin0
Discord: https://www.discord.gg/lemmino
[Chapters]
00:00 Intro
02:30 The Vigenère Table
05:45 Partial Decipherment of Kryptos
07:46 Identifying Ciphers Within the Code
11:09 Breaking K2
15:21 Breaking K3 and K1
17:49 The K1-K3 Plaintext
24:02 The Mystery of K4
27:21 The Intended Solutions
36:50 The IDBYROWS Mishap
39:56 The K4 Clues
41:44 Hypothetical Solutions to K4
45:45 Outro
- published: 04 May 2024
- views: 5229280
0:19
frog farm code today | 14 oct cipher code | frog farm airdrop cipher code today | #frogfarm #frog
Frog Farm ➤ https://t.me/frogfarmbot/frogfarm?startapp=514699074
frog farm code today | 14 oct cipher code | frog farm airdrop cipher code today | #frogfarm #fr...
Frog Farm ➤ https://t.me/frogfarmbot/frogfarm?startapp=514699074
frog farm code today | 14 oct cipher code | frog farm airdrop cipher code today | #frogfarm #frog #frogfarmairdrop #frogfarmcode
Join My Telegram channel ➤https://t.me/TechheLpinhindi
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Subscribe my youtube channel: https://www.youtube.com/@techhelpinhindi
My Public Address to Receive:
(TRC-20/Tron Chain) USDT: TJwPd2ZUyYaRL45aoVx9e2aUFcSKAoEx3n
(BEP-20/BSC Chain) USDT: 0xe5507180C807B114eB7fD53ef2BE453D2D51a4A0
RAJ
Admin-Tech Help In Hindi
Crypto Trading Analyst, Mentor, Crypto Signal & Trading Tutorial Provider & Youtuber
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*⚠️Disclaimer⚠️*
•We are *Not a Financial Advisor*
•Admins are not responsible for any profits or losses as this is *Not a buy or sell call and Just For EDUCATIONAL PURPOSES ONLY🗒
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*⚠️Disclaimer⚠️*
•We are *Not a Financial Advisor*
•Admins are not responsible for any profits or losses as this is *Not a buy or sell call and Just For EDUCATIONAL PURPOSES ONLY🗒
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Please watch: "tomarket airdrop big update | tomarket combo crack live | tomarket combo today | tomato airdrop"
https://www.youtube.com/watch?v=iYLGc9dU4Cs
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- published: 14 Oct 2024
- views: 264
4:13
Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty & Denzel Curry 2016 XXL Freshman Cypher
Watch Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty and Denzel Curry go to work in their XXL Freshman 2016 cypher.
Subscribe XXL's channel: http://youtube....
Watch Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty and Denzel Curry go to work in their XXL Freshman 2016 cypher.
Subscribe XXL's channel: http://youtube.com/@XXLMagazine?sub_confirmation=1
Get your FRESHMAN 2016 Cypher Shirt: https://shop.xxlmag.com/products/rapper-t-shirt
Read the latest hip-hop news: http://www.xxlmag.com
Connect with us on socials!
https://twitter.com/XXL
https://instagram.com/xxl/
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#xxl #xxlfreshman
https://wn.com/Kodak_Black,_21_Savage,_Lil_Uzi_Vert,_Lil_Yachty_Denzel_Curry_2016_Xxl_Freshman_Cypher
Watch Kodak Black, 21 Savage, Lil Uzi Vert, Lil Yachty and Denzel Curry go to work in their XXL Freshman 2016 cypher.
Subscribe XXL's channel: http://youtube.com/@XXLMagazine?sub_confirmation=1
Get your FRESHMAN 2016 Cypher Shirt: https://shop.xxlmag.com/products/rapper-t-shirt
Read the latest hip-hop news: http://www.xxlmag.com
Connect with us on socials!
https://twitter.com/XXL
https://instagram.com/xxl/
https://facebook.com/xxlmag
#xxl #xxlfreshman
- published: 06 Jul 2016
- views: 228112130
-
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
published: 13 May 2024
-
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a...
published: 07 Apr 2021
-
Introduction to Disambiguation
Introduction to "Disambiguation". From "The Brain's Challenge" chapter of the Children of the Code Project.
published: 30 Jul 2017
-
Episode 9: Disambiguation of Data Products: Examining Different Viewpoints
In this video, we delve into the world of data products and the need for disambiguation. With many different definitions floating around and a lack of standardization, it can be difficult to fully understand what a data product is and how it can be utilized. We examine three different viewpoints on data products, including the business perspective, the technical perspective, and the user perspective. By the end of the video, we come to a conclusion on what a data product truly is and how it can be effectively utilized in today's data-driven world. Whether you're a business owner, a data analyst, or simply someone interested in the world of data, this video is sure to provide valuable insights and information.
published: 22 Jul 2024
-
chess king sacrifice
Credits to: Chessbase India
published: 01 Dec 2020
-
Disambiguation of the Building Code
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email [email protected]
published: 31 Jan 2024
-
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee | Code BEAM America 2021
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the ...
published: 16 Sep 2022
-
Word Sense Disambiguation - Simplified Leak - Python Code
published: 01 Mar 2022
-
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) t...
published: 27 Oct 2022
-
[CVPR 2024] From Correspondences to Pose: Non-minimal Relative Pose without Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera po...
published: 05 Jun 2024
11:39
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/word...
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
https://wn.com/🖋_Word_Sense_Disambiguation_In_Colab_Using_Kerasnlp.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
- published: 13 May 2024
- views: 117
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using t...
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
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⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
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Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
- published: 07 Apr 2021
- views: 2095
2:21
Introduction to Disambiguation
Introduction to "Disambiguation". From "The Brain's Challenge" chapter of the Children of the Code Project.
Introduction to "Disambiguation". From "The Brain's Challenge" chapter of the Children of the Code Project.
https://wn.com/Introduction_To_Disambiguation
Introduction to "Disambiguation". From "The Brain's Challenge" chapter of the Children of the Code Project.
- published: 30 Jul 2017
- views: 694
17:12
Episode 9: Disambiguation of Data Products: Examining Different Viewpoints
In this video, we delve into the world of data products and the need for disambiguation. With many different definitions floating around and a lack of standardi...
In this video, we delve into the world of data products and the need for disambiguation. With many different definitions floating around and a lack of standardization, it can be difficult to fully understand what a data product is and how it can be utilized. We examine three different viewpoints on data products, including the business perspective, the technical perspective, and the user perspective. By the end of the video, we come to a conclusion on what a data product truly is and how it can be effectively utilized in today's data-driven world. Whether you're a business owner, a data analyst, or simply someone interested in the world of data, this video is sure to provide valuable insights and information.
https://wn.com/Episode_9_Disambiguation_Of_Data_Products_Examining_Different_Viewpoints
In this video, we delve into the world of data products and the need for disambiguation. With many different definitions floating around and a lack of standardization, it can be difficult to fully understand what a data product is and how it can be utilized. We examine three different viewpoints on data products, including the business perspective, the technical perspective, and the user perspective. By the end of the video, we come to a conclusion on what a data product truly is and how it can be effectively utilized in today's data-driven world. Whether you're a business owner, a data analyst, or simply someone interested in the world of data, this video is sure to provide valuable insights and information.
- published: 22 Jul 2024
- views: 701
36:43
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee | Code BEAM America 2021
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanes...
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the problem of name disambiguation and string comparison by looking at two existing string comparison libraries before addressing the process of combining them into a single repository. I hope attendees will leave understanding the problem as well as the strengths, limitations, and possibilities of the new library and how it can be used to address the challenges of name disambiguation.
AUDIENCE:
Beginner to intermediate programmers.
• Timecodes
00:00 - 03:54 - Intro
03:55 - 05:14 - String Comparison Algorithms
05:15 - 09:42 - Akin
09:43 - 13:20 - Axon & Training Data: DBLP
13:21 - 18:09 - NX and Axon
18:10 - 19:36 - What's next?
19:36 - 36:43 - QnA
• Follow us on social:
Twitter: https://twitter.com/CodeBEAMio
LinkedIn: https://www.linkedin.com/company/27159258
• Looking for a unique learning experience?
Attend the next Code Sync conference near you!
See what's coming up at: https://codesync.global
• SUBSCRIBE TO OUR CHANNEL
https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw
See what's coming up at: https://codesync.global
https://wn.com/And_Yet_Akin_Name_Disambiguation_In_Elixir_|_Vanessa_Lee_|_Code_Beam_America_2021
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the problem of name disambiguation and string comparison by looking at two existing string comparison libraries before addressing the process of combining them into a single repository. I hope attendees will leave understanding the problem as well as the strengths, limitations, and possibilities of the new library and how it can be used to address the challenges of name disambiguation.
AUDIENCE:
Beginner to intermediate programmers.
• Timecodes
00:00 - 03:54 - Intro
03:55 - 05:14 - String Comparison Algorithms
05:15 - 09:42 - Akin
09:43 - 13:20 - Axon & Training Data: DBLP
13:21 - 18:09 - NX and Axon
18:10 - 19:36 - What's next?
19:36 - 36:43 - QnA
• Follow us on social:
Twitter: https://twitter.com/CodeBEAMio
LinkedIn: https://www.linkedin.com/company/27159258
• Looking for a unique learning experience?
Attend the next Code Sync conference near you!
See what's coming up at: https://codesync.global
• SUBSCRIBE TO OUR CHANNEL
https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw
See what's coming up at: https://codesync.global
- published: 16 Sep 2022
- views: 395
4:54
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be i...
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
https://wn.com/Towards_Racially_Unbiased_Skin_Tone_Estimation_Via_Scene_Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
- published: 27 Oct 2022
- views: 1065
4:59
[CVPR 2024] From Correspondences to Pose: Non-minimal Relative Pose without Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page:...
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera pose from correspondences without needing a post-processing step to enforce the cheirality constraint on the correspondences.
Building on recent advances in certifiable non-minimal optimization, we frame the relative pose estimation as a Quadratically Constrained Quadratic Program (QCQP). By applying the appropriate constraints, we ensure the estimation of a camera pose that corresponds to a valid 3D geometry and that is globally optimal when certified. We validate our method through exhaustive synthetic and real-world experiments, confirming the efficacy, efficiency and accuracy of the proposed approach.
0:00 Introduction
0:40 Pose from correspondences
1:36 Problem: Traditional approaches need disambiguation
2:58 Our approach
4:41 Summary
https://wn.com/Cvpr_2024_From_Correspondences_To_Pose_Non_Minimal_Relative_Pose_Without_Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera pose from correspondences without needing a post-processing step to enforce the cheirality constraint on the correspondences.
Building on recent advances in certifiable non-minimal optimization, we frame the relative pose estimation as a Quadratically Constrained Quadratic Program (QCQP). By applying the appropriate constraints, we ensure the estimation of a camera pose that corresponds to a valid 3D geometry and that is globally optimal when certified. We validate our method through exhaustive synthetic and real-world experiments, confirming the efficacy, efficiency and accuracy of the proposed approach.
0:00 Introduction
0:40 Pose from correspondences
1:36 Problem: Traditional approaches need disambiguation
2:58 Our approach
4:41 Summary
- published: 05 Jun 2024
- views: 89