Track

메타버스 향유

Interests

Machine perception understanding, Data efficient learning

Advisor

오태현

Web

https://ami.kaist.ac.kr/

Publications

• Muhamad Putro, Agung Sutrisno, Indri Manembu, Il Chun, and Tae-Hyun Oh. 2025. STAR: Sea Turtle Basic Activity Recognizer Network via Efficient Transformer IEEE Access
  DOI: 10.1109/ACCESS.2025.3615067
• Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, and Tae-Hyun Oh. 2023. SYNAuG: Exploiting synthetic data for data imbalance problems arXiv preprint arXiv:2308.00994
  
• Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, and Tae-Hyun Oh. 2024. VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models arXiv preprint arXiv:2409.14759
  
• Chunsan Hong, Tae-Hyun Oh, and Minhyuk Sung. 2024. MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models arXiv preprint arXiv:2407.17095
  
• Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, and Joon Chung. 2025. Toward Interactive Sound Source Localization: Better Align Sight and Sound! IEEE Transactions on Pattern Analysis and Machine Intelligence
  DOI: 10.1109/TPAMI.2025.3573994
• Boeun Kim, Jungho Kim, Hyung Chang, and Tae-Hyun Oh. 2025. A unified framework for unsupervised action learning via global-to-local motion transformer Pattern Recognition Elsevier,