Inyoung Jung

Inyoung Jung

M.S student at Sungkyunkwan Univ.

I am a second-year M.S. student at SKKU (Sungkyunkwan University), South Korea, advised by Prof. Sungeun Hong in the Artificial Intelligence and Media Lab (AIM Lab). My research focuses on building robust and adaptive AI through multimodal learning and test-time adaptation. I have proposed novel frameworks for semantic segmentation and classification under domain shifts, leveraging class-wise alignment and adaptive thresholding. Recently, I introduced a question-aware temporal reasoning model for audio-visual question answering, which integrates Gaussian experts and modality interaction. My recent work expands into audio-visual reasoning and zero-shot test-time adaptation via prompt-based modality fusion.

🔥 News

  • 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.
  • 2024.10:  🎉🎉 Prototypical Class-wise Test-Time Adaptation is accepted at Pattern Recognition Letters!

📝 Publications

Equal contribution are denoted by *

  • Question-Aware Gaussian Experts for Audio-Visual Question Answering, CVPR 2025 Highlight (Accept. rate 22.12%)
    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]

💡 Projects

  • 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)
  • 2024.07 - 2024.12: Robust Deep Semantic Segmentation Model for Continual Domain Shifts, Capstone Design in Information and Communication Engineering by Inha University

🎖 Honors and Awards

  • 2025.02: Honorable Mention for Outstanding Paper Award, IPIU 2025.
  • 2024.12: Excellence Award, Capstone Design for Information and Communication Engineering by Inha University.

📖 Educations

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

💻 Internships

  • 2025.01 - 2025.02: AI Research Engineer Intern @ ARI.ai.
  • 2022.12 - 2024.02: Artificial Intelligence and Media Lab @ Sungkyunkwan Univ.