Hi! I'm a 4th-year Ph.D. student 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. I leverage HCI and AI techniques to comprehend video content and build interactive technologies that empower users to create and consume video content more effectively. In particular, I aim to improve how people learn procedural tasks through instructional/how-to videos to achieve everyday tasks.

Keywords: Human-Computer Interaction; Computer Vision; Video Interaction; Multimodal Understanding; Procedural Task;

News

  • 📝 (Aug. 2024) My Doctoral Consortium paper has been accepted to UIST 2024!
  • 📝 (Jul. 2024) One paper accepted to UIST 2024!
  • 🛫 (May. 2024) Attended CVPR 2024 and presented workshop papers!🇺🇸
  • 👩‍💼 (May. 2024) Started a summer internship at Adobe Seattle!
  • 🛫 (May. 2024) Attended CHI 2024 in Hawaii!🇺🇸
  • 📝 (Apr. 2024) Papers accepted to CVPR 24 LPVL workshop!
  • 👩‍💼 (Mar. 2024) Serving as a program committee member for CVPR 24 workshop on procedural videos (LPVL).
  • 🛫 (Mar. 2024) Attended IUI 2024 in Greenville!🇺🇸
  • 🛫 (Feb. 2024) Attened AAAI 2024 in Vancouver!🇨🇦
  • 📝 (Jan. 2024) My Autodesk internship paper has been accepted to CHI 2024!
  • 📝 (Dec. 2023) Our paper on AI-assited video editing has been accepted to IUI 2024!
  • 📝 (Dec. 2023) My LG AI internship paper on Video QA has been accepted to AAAI 2024!
  • 👩‍💼 (Sep. 2023) Gave talks on video interaction at University of Toronto and UBC!🇨🇦

Publications

Enhancing How People Learn Procedural Tasks Through How-to Videos

Saelyne Yang

UIST 2024 Doctoral Symposium
[pdf] [poster]
Silent Impact: Tracking Tennis Shots from the Passive Arm

Junyong Park, Saelyne Yang, Sungho Jo

UIST 2024
[pdf]
Fine-Grained Action Understanding with Tools in Instructional Videos

Saelyne Yang, Jaesang Yu, Jae Won Cho, Juho Kim

[pdf] [poster]
AQuA: Automated Question-Answering in Software Tutorial Videos with Visual Anchors

Saelyne Yang, Jo Vermeulen, George Fitzmaurice, Justin Matejka

CHI 2024
[pdf]
ExpressEdit: Video Editing with Natural Language and Sketching

Bekzat Tilekbay, Saelyne Yang, Michal A Lewkowicz, Alex Suryapranata, Juho Kim

IUI 2024
Also presented at the HAI-GEN Workshop at IUI 2024
YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee

AAAI 2024
Also presented at the LPVL Workshop at CVPR 2024
Towards Content-based Pixel Retrieval in Revisited Oxford and Paris

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

ICCV 2023
[pdf] [dataset]
Beyond Instructions: A Taxonomy of Information Types in How-to Videos

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

CHI 2023
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
Improving Video Interfaces by Presenting Informational Units of Videos

Saelyne Yang, Sankyung Kwak, Tae Soo Kim, Juho Kim

[pdf]
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
Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art

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

CHI 2020
What Makes It Hard for Users to Follow Software Tutorial Videos?

Saelyne Yang, Juho Kim

HCI Korea 2020
[pdf]

Experiences

  • Adobe Research
    Reserach Intern, STORIE Lab (May. 2024 - Aug. 2024)
    Mentors: Dingzeyu Li, Anh Truong
  • Autodesk Research
    Reserach Intern, HCI & Visualization Group (Jun. 2023 - Sep. 2023)
    Mentors: Jo Vermeulen, Justin Matejka, George Fitzmaurice
  • LG AI Research
    Reserach Intern, Advanced ML Lab (Oct. 2022 - Feb. 2023)
    Mentor: Moontae Lee
  • Adobe Research
    Reserach Intern, Creative Technologies Lab (Jun. 2020 - Sep. 2020)
    Mentor: Hijung Valentina Shin
  • ACRYL
    Software Engineer Intern (Jan. 2018 - Feb. 2018)

Awards & Honors

  • AAAI Student Scholar (2024)
  • Google Student Travel Grant (2023)
  • 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 (2019-20)
  • Google WTM Scholarsip (2018)
  • Dean's List, School of Computing, KAIST (2018 Spring)

Academic Services

Organizing Committee

  • UIST 2023 Video Previews Chair

Program Committee

  • CVPR 2024 LPVL Workshop
  • CHI 2023 Late-Breaking Work
  • CHI 2022 Late-Breaking Work

Session Chair

  • CHI 2024 Main Paper Track

Reviewer

(*=Special Recognition for Outstanding Reviews)
  • CVPR 2024 Workshop
  • CHI 2024, 2023, 2022(*), 2021, 2020
  • UIST 2024, 2022
  • CSCW 2023(*), 2020
  • DIS 2023
  • IEEE Transactions on Learning Technologies

Student Volunteer

  • AAAI 2024
  • IUI 2022
  • CHI 2019

Invited Talks

Enhancing How People Learn Procedural Tasks Through How-to Videos

  • Twelve Labs (Jul. 2024)

Improving Video Experiences by Leveraging User Interaction and Content Analysis

  • University of British Columbia (Oct. 2023)
    Host: Prof. Dongwook Yoon
  • University of Toronto (Sep. 2023)
    Host: DGP Lab
  • Intro to HCI @ UNIST (May. 2023)
    Host: Prof. Jaeyeon Lee

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