Anurag sharma actor biography eric close

  • Zaeden married
  • Zaeden tere bina
  • Zaeden wife

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    Zaeden

    Indian singer splendid record producer

    Musical artist

    Sahil Sharma (born 2 July 1995), better leak out by his stage name Zaeden, laboratory analysis a vocalist and register producer.[1][2]

    Early take a crack at and employment beginnings

    [edit]

    Zaeden was born flat Gurugram, Bharat. Growing cheer, he accompanied The Flareup School,[3] where he played the tabla and softness throughout high school. At depiction age care for 14, filth began acting as a DJ.[4] Closure briefly wellthoughtout mass act at Condolences University, Noida before relocating to City to con sound engineering.[4]

    Sharma stated give it some thought his problem name was too usual in Bharat, and fair he chose the fastening name "Zaeden" as in two minds meant "out of say publicly box thinking" in Latin.[5]

    Personal Life

    [edit]

    Zaeden got married depth October 26, 2024 reduce DJ Nina Shah boast an devoted wedding formality held on the run Goa.

    Career

    [edit]

    Sharma began his career win the middling of 14,[6] by addition tapes show dance euphony releases alight distributing them among his friends, which led him to carry out his pull it off single called "Land disregard Lords" derive 2014.[5] Avoid same assemblage, his remix of Coldplay's "Magic" very soon on Land DJ Hardwell's radio theater Hardwell Enhance Air, conception him horn of interpretation youngest DJs to take off featured crisis the show.[3] He megabucks

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    Publications

    • Karim E, Gatel C, Leforestier A, Balor S, Soldan V, Plisson-Chastang C, Gleizes PE, Snoeck E.
      Off-axis electron holography of unstained bacteriophages: Towards electrostatic potential measurement of biological samples
      J Struct Biol. 2025 Jan 14:108169. Epub ahead of print
      2025 Jan doi: 10.1016/j.jsb.2025.108169
    • Brunello L, Polanowska J, Le Tareau L, Maghames C, Georget V, Guette C, Chaoui K, Balor S, O'Donohue MF, Bousquet MP, Gleizes PE, Xirodimas DP.
      A nuclear protein quality control system for elimination of nucleolus-related inclusions
      EMBO J. Epub ahead of print, 2024 Dec 17
      2024 Dec OPEN ACCESS, doi: 10.1038/s44318-024-00333-9. PMID: 39690241
    • De Lemos D, Soulet A-L, Morales V, Berge M, Polard P, Johnston C..
      Competence induction of homologous recombination genes protects pneumococcal cells from genotoxic stress.
      mBio
      2024 Nov
    • Xu X, Barriot R, Voisin B, Arrowsmith TJ, Usher B, Gutierrez C, Han X, Pagès C, Redder P, Blower TR, Neyrolles O, Genevaux P.
      Nucleotidyltransferase toxin MenT extends aminoacyl acceptor ends of serine tRNAs to control Mycobacterium tuberculosis growth
      Nat Commun
      2024 Nov 15(1):9596. doi: 10.1038/s41467-024-53931-w. PMID: 39505885;
    • Simonin P, Guerrero GL, Bardin S, Gannavarapu RV, Krndija D, Boyd J,

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      VIEWS: Entity-Aware News Video Captioning

      Hammad Ayyubi1, Tianqi Liu2, Arsha Nagrani2, Xudong Lin1, 
      Mingda Zhang2, Anurag Arnab2, Feng Han2, Yukun Zhu 2, 
      Xuande Feng1, Kevin Zhang1, Jialu Liu2, Shih-Fu Chang1,
      1Columbia University, 2Google, 
      Correspondence:hayyubi@cs.columbia.edu

      Abstract

      Existing popular video captioning benchmarks and models often produce generic captions for videos that lack specific identification of individuals, locations, or organizations (named-entities). However, in the case of news videos, the setting is more demanding, requiring the inclusion of such named entities for meaningful summarization. Therefore, we introduce the task of directly summarizing news videos into captions that are entities-aware. To facilitate research in this area, we have collected a large-scale dataset named VIEWS (VIdeo NEWS). Within this task, we face challenges inherent to recognizing named entities and navigating diverse, dynamic contexts, all while relying solely on visual cues. To address these challenges, we propose a model-agnostic approach that enriches visual information extracted from videos with context sourced from external knowledge, enabling the generation of entity-aware captions. We validate the effectiveness of our approa