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  1. Name: Lee Tae-Hyung Hangul: 이태형 Born: September 1, 1972 Birthplace: South Korea Height: Blood Type: Movies. Smugglers | Milsoo (2023) - jacket sailor Heart Blackened | Chimmook (2017) - investigator 3 The Tooth and the Nail | Seokjojeotaek Salinsagu (2017) - entertainment district taxi customer

  2. en.wikipedia.org › wiki › Lee_Tae-riLee Tae-ri - Wikipedia

    Lee Tae-ri (Korean: 이태리; Hanja: 李泰利; born June 28, 1993), birth name Lee Min-ho, is a South Korean actor.He is well-known for his role as young Yang Myung in Moon Embracing the Sun (2012), Song Man-bo in Rooftop Prince (2012), Jung Joo-hwan in The Beauty Inside (2018), Jinmichae/Geum Jin-mi in Extraordinary You (2019), and Imugi in Tale of the Nine Tailed (2020).

  3. Lee Tae-hun is known as an Executive Producer, Producer, and Co-Executive Producer. Some of his work includes Snowpiercer, Lady Vengeance, The Man from Nowhere, Snowpiercer, I'm a Cyborg, but That's OK, Cold Eyes, The Swordsman, and A Frozen Flower.

  4. Stage Name: Taehyun (태현) Birth Name: Kang Tae Hyun (강태현) English Name: Terry Birthday: February 5th, 2002 Zodiac Sign: Aquarius Chinese Zodiac: Snake Height: 177 cm (5’10”) Weight: 57 kg (125 lbs) Blood Type: A MBTI Type: ESTP Nationality: Korean Representative Emoticon: Spotify Playlist: TXT: TAEHYUN Fandom Name: Solomon

  5. Jan 15, 2024 · View a PDF of the paper titled Encoding position by spins: Objectivity in the boson-spin model, by Tae-Hun Lee and Jaros{\l}aw K. Korbicz View PDF Abstract: We investigate quantum objectivity in the boson-spin model, where a central harmonic oscillator interacts with a thermal bath of spin-1/2 systems.

  6. Lee Byung-hun (Korean: 이병헌; born July 12, 1970) is a South Korean actor. He has received acclaim for his work in a wide range of genres, most notably Joint Security Area (2000); A Bittersweet Life (2005); The Good, the Bad, the Weird (2008); I Saw the Devil (2010); Masquerade (2012); and the television series Iris (2009) and Mr. Sunshine (2018).

  7. Dec 7, 2016 · Non-uniform blind deblurring for general dynamic scenes is a challenging computer vision problem as blurs arise not only from multiple object motions but also from camera shake, scene depth variation. To remove these complicated motion blurs, conventional energy optimization based methods rely on simple assumptions such that blur kernel is partially uniform or locally linear. Moreover, recent machine learning based methods also depend on synthetic blur datasets generated under these ...