Saelyne Yang

Ph.D. Candidate @ KAIST

Hi! I am a Ph.D. candidate in the School of Computing at KAIST. I am working with Juho Kim as part of KIXLAB.
My research interests in Human-Computer Interaction lie in video understanding and interaction. In particular, I leverage HCI and AI techniques to comprehend video content and aim to advance interactive technologies that empower users to create and consume video content more effectively. Recently, I have focused on investigating the nuanced roles played by visual and verbal elements in videos and user interaction data obtained from video interactions.

I am a research intern at Autodesk this summer, working in the Toronto office!

News

  • 📝 (Jul. 2023) A paper I collaborated on has been accepted to ICCV 2023!
  • 👩‍💼 (Jun. 2023) Serving as a Video Previews Co-Chair for UIST 2023!
  • 👩‍💻 (Jun. 2023) Started my research internship @ Autodesk in Toronto!
  • 🛫 (Apr. 2023) Attending CHI 2023 to present our paper!
  • 📝 (Jan. 2023) Two papers are accepted to CHI 2023!
  • 🏆 (Dec. 2022) I received a NAVER PhD Fellowship Award!
  • 🏆 (Oct. 2022) I received a Special Recognition for Outstanding Reviews at CSCW 2023.

Publications

Conference and Journal Papers

Towards Content-based Pixel Retrieval in Revisited Oxford and Paris (to appear)

Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, Sungeui Yoon

ICCV 2023
Beyond Instructions: A Taxonomy of Information Types in How-to Videos

Saelyne Yang, Sangkyung Kwak﹡, Juhoon Lee﹡, Juho Kim

CHI 2023
[pdf] [project website] [talk]
AVscript: Accessible Video Editing with Audio-Visual Scripts

Mina Huh, Saelyne Yang, Yi-Hao Peng, Xiang ‘Anthony’ Chen, Young-Ho Kim, Amy Pavel

CHI 2023
[pdf]
CatchLive: Real-time Summarization of Live Streams with Stream Content and Interaction Data

Saelyne Yang, Jisu Yim, Juho Kim, Hijung Valentina Shin

CHI 2022
[pdf] [project website]
SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data

Saelyne Yang, Jisu Yim, Aitolkyn Baigutanova, Seoyoung Kim, Minsuk Chang, Juho Kim

IUI 2022
[pdf] [project website] [dataset]
Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art

Saelyne Yang, Changyoon Lee, Hijung Valentina Shin, Juho Kim

CHI 2020
[pdf] [project website] [video preview]
What Makes It Hard for Users to Follow Software Tutorial Videos?

Saelyne Yang, Juho Kim

HCI Korea 2020
[pdf]

Posters, Demos, and Workshop Papers

Improving Video Interfaces by Presenting Informational Units of Videos

Saelyne Yang, Sankyung Kwak, Taesoo Kim, Juho Kim

[pdf]

Experiences

  • Autodesk Research
    Reserach Intern, HCI & Visualization Group (Jun. 2023 - Sep. 2023)
    Host: Jo Vermeulen, Justin Matejka, George Fitzmaurice
  • LG AI Research
    Reserach Intern, Advanced ML Lab (Oct. 2022 - Feb. 2023)
    Host: Prof. Moontae Lee
  • Adobe Research
    Reserach Intern, Creative Technologies Lab (Jun. 2020 - Sep. 2020)
    Host: Dr. Hijung Valentina Shin
  • KIXLAB, KAIST
    Reserach Intern (Jun. 2018 - Dec. 2018)
    Host: Prof. Juho Kim
  • ACRYL
    Software Engineer Intern (Jan. 2018 - Feb. 2018)

Awards & Honors

  • NAVER PhD Fellowship (2022)
  • Special Recognition for Outstanding Reviews (CSCW 2023)
  • Special Recognition for Outstanding Reviews (CHI 2022)
  • Inseong Fellow, KAIST (2021)
  • An Outstanding TA Award, KAIST (2021 Spring, 2022 Spring)
  • An Outstanding MS Thesis Award, KAIST (2021)
  • Kwanjeong Scholarship (2019)
  • Google WTM Scholarsip (2018)
  • Dean's List, School of Computing, KAIST (2018 Spring)

Education

  • Ph.D. in School of Computing, KAIST (Mar. 2021 - Present)
    GPA: 4.16/4.3, Advisor: Prof. Juho Kim
  • M.S. in School of Computing, KAIST (Mar. 2019 - Feb. 2021)
    An Outstanding MS Thesis Award, Advisor: Prof. Juho Kim
  • B.S. in School of Computing, KAIST (Mar. 2015 - Feb. 2019)
    Magna Cum Laude