{"id":6243,"date":"2025-07-16T06:02:16","date_gmt":"2025-07-16T06:02:16","guid":{"rendered":"https:\/\/vulcancoalition.com\/?p=6243"},"modified":"2025-07-18T04:46:47","modified_gmt":"2025-07-18T04:46:47","slug":"recruitments-tsl-dataset","status":"publish","type":"post","link":"https:\/\/vulcancoalition.com\/en\/recruitments-tsl-dataset\/","title":{"rendered":"Research Project on Learning Image Super-Resolution from High-Resolution Databases"},"content":{"rendered":"
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ParticipantsWanted for Research Project<\/strong><\/h2>\n\n\n\n

\u201cLearning Image Super-Resolution from High-Resolution Databases\u201d<\/strong><\/p>\n\n\n\n

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Apply here<\/a><\/div>\n<\/div>\n\n\n\n


Research Details<\/h2>\n\n\n\n

Each participant will describe weather forecast videos.
Total of 10\u201311 video clips per person,<\/strong> each clip lasting 2\u20135 minutes.<\/strong> One research session per participant.<\/strong>
Estimated total time: approximately 3 hours<\/strong><\/p>\n\n\n\n

Research Venue<\/h2>\n\n\n\n

Vulcan Coalition Co., Ltd.<\/strong>
- 559\/67 Thanapirom Lertville Village,<\/strong>
Nonsi Road, Chong Nonsi Subdistrict, Yannawa District, Bangkok<\/p>\n\n\n\n

Research Period:<\/h2>\n\n\n\n

1 \u2013 31 July 2025<\/strong> <\/p>\n\n\n\n

How to Apply:<\/h2>\n\n\n\n
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  1. Please fill out the application form at: https:\/\/forms.gle\/PAwP4eyHKhok1XqK6<\/a><\/li>\n\n\n\n
  2. Selected applicants will be contacted by the research team to schedule their participation session.<\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    Objective of the Research<\/h2>\n\n\n\n
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    1. To collect high-resolution video data of participants using sign language gestures, for the following purposes:
      \u2192 To establish a comprehensive high-resolution video database for future evaluations
      \u2192 To train AI models in enhancing image resolution<\/li>\n\n\n\n
    2. To develop and improve future models that enhance low-resolution images into high-resolution ones
      \u2192 Using the collected participant videos as baseline data for model training
      \u2192 To enable the models to restore fine details from low-resolution inputs effectively<\/li>\n<\/ol>\n\n\n\n

      Participant Requirements (10 needed):<\/h2>\n\n\n\n