Inyoung Jung

Inyoung Jung

M.S student at Sungkyunkwan Univ.

I am a researcher at Samsung Research. Prior to this, I received my M.S. from Sungkyunkwan University, where I was advised by Prof. Sungeun Hong in the AI & Media Lab. My past research focused on computer vision and multimodal learning, particularly test-time adaptation and audio-visual learning.

🔥 News

  • 2025.09:  🎉🎉 Winner of the 2025 Sungkyunkwan University President’s List.
  • 2025.04:  🎉🎉 Question-Aware Gaussian Experts for Audio-Visual Question Answering was selected as highlight at CVPR 2025!
  • 2025.02:  🎉🎉 Question-Aware Gaussian Experts for Audio-Visual Question Answering is accpeted at CVPR 2025!
  • 2025.02:  🎉🎉 Winner of the Honorable Mention for Outstanding Paper Award at IPIU 2025.

📝 Publications

Equal contribution are denoted by *

  • Instance-Aware Test-Time Segmentation for Continual Domain Shifts, 2025
    Seunghwan Lee*, Inyoung Jung*, Hojoon Lee, Eunil Park, and Sungeun Hong
    [arXiv]

  • Question-Aware Gaussian Experts for Audio-Visual Question Answering, CVPR 2025 Highlight (Accept. rate 2.98%)
    Hongyeob Kim*, Inyoung Jung*, Dayoon Suh, Youjia Zhang, Sangmin Lee, and Sungeun Hong
    [project page] [paper] [arXiv] [code]

  • Prototypical Class-wise Test-Time Adaptation, Pattern Recognition Letters 2025
    Hojoon Lee, Seunghwan Lee, Inyoung Jung, and Sungeun Hong
    [DOI] [paper]

📄 Patents

  • System and Method for Question-Aware Audio-Visual Question Answering, KR-Application No. 10-2025-0176475, 2025.11 (SKKU).
  • Apparatus and Method for Generating an Image Learning Model, KR-Application No. 10-2024-0168645, 2024.11 (SKKU).

💡 Projects

  • 2025.08 - 2025.11: Development of a Logistics Volume Forecasting Model for Hub-to-Sub Routes Based on Time-Series Data, CJ Logistics-TES LAB (AI Development Team)
  • 2024.09 - 2025.08: Zero-Shot Question-Answering Framework with Adaptive Audio-Visual Fusion Prompts, M.S. Students Fellowship by National Research Foundation of Korea (NRF)
  • 2024.03 - 2025.05: RGB-X Path Networks for Multi-modal Multi-task Learning, by National Research Foundation of Korea (NRF)
  • 2024.03 - 2026.02: Metaverse Convergence Graduate School, by Institute for Information & Communications Technology Planning & Evaluation (IITP)
  • 2023.08 - 2023.12: Robust Deep Semantic Segmentation Model for Continual Domain Shifts, Capstone Design in Information and Communication Engineering by Inha University

🎖 Honors and Awards

  • 2025.09: Winner of the President’s List, Sungkyunkwan University 2025.
  • 2025.02: Honorable Mention for Outstanding Paper Award, IPIU 2025.
  • 2023.12: Excellence Award, Capstone Design for Information and Communication Engineering by Inha University.

📖 Educations

  • 2024.03 - 2026.02: Sungkyunkwan University, M.S. Department of Immersive Media Engineering.
  • 2021.03 - 2024.02: Inha University, Bachelor of Engineering, Department of Information and Communication Engineering.

💼 Experience