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Tae-Hyun Oh

Tae-Hyun Oh

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Professor

About

전기및전자공학부 소속으로 Advanced Machine Intelligence Lab을 이끌며 머신러닝, 멀티모달 인식, AI 에이전트를 연구한다. 3D 인식, 영상 이해, 오디오-비주얼 멀티모달 학습과 데이터 효율적 학습이 주요 주제다. MIT CSAIL과 Facebook AI Research를 거쳐 KAIST에 합류했다.

Research keywords

Machine perception understandingData efficient learning

Recent papers

From OpenAlex · papers whose author affiliation matches this university

Selected publications

  • Toward Interactive Sound Source LocalizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) · 2025
  • Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding RegistrationCVPR · 2025
  • Perceptually Accurate 3D Talking Head GenerationCVPR · 2025
  • AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language ModelsICLR · 2025
  • A unified framework for unsupervised action learning via global-to-local motion transformerPattern Recognition · 2025
  • PAVAS: Physics-Aware Video-to-Audio SynthesisCVPR · 2026

Labs doing related research

Labs that recently published on topics this lab's recent papers share

Shared topic: Multimodal Machine Learning Applications

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