In submission (on going research)

• Language Explanation for a Model's Error

• Language Explanation for Discriminative Models' Comparison

• Language Explanation for Generative Models' Comparison

Publications

• Wonseok Choi, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Dong-ju Jeong, Jinyoung Hwang, Tae-Hyun Oh, Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching, WACV 2026
  Presented in Workshop on eXCV: Explainable Computer Vision: Quo Vadis? in conjunction with ICCV 2025

• Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin, Junhyun Nam, Tae-Hyun Oh, Automated Model Discovery via Multi-modal & Multi-step Pipeline, NeurIPS 2025 

• Lee Chae-Yeon, Nam Hyeon-Woo, Tae-Hyun Oh, Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation, BMVC 2025

• Do Huu Dat, Nam Hyeon-Woo, Po-Yuan Mao, Tae-Hyun Oh, VSC: Visual Search Compositional Text-to-Image Diffusion Model, ICCV 2025

• Moon Ye-Bin*, Nam Hyeon-Woo*, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh, SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems, Pattern Recognition Letters (PRL) 2025 *equal contribution

• Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi,  Lee Hyun, Tae-Hyun Oh,  VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Model, TMLR 2025

• Moon Ye-Bin*, Nam Hyeon-Woo*, Wonseok Choi, Tae-Hyun Oh, BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models, ECCV, 2024 *equal contribution

• Moon Ye-Bin*, Nam Hyeon-Woo*, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh, Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective, ICCV 2023 workshop * equal contribution

• Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh, Scratching Visual Transformer's Back with Uniform Attention, ICCV 2023 [project page]

• Kwon Byung-Ki, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh, DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline, ICLR 2023

• Nam Hyeon-Woo, Moon Ye-Bin, and Tae-Hyun Oh, FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning, ICLR 2022

Awards & Honors

• Bronze prizes award in Samsung HumanTech 2023 ($5,000 prize) 

• Scholarship student from SBS Cultural Foundation

• Best Poster in POSTECH-Naver AI Day 2022

• Qualcomm Innovation Fellowship Korea (QIFK) 2021. Qualcomm Korea AI Research ($4,000 prize)

EDUCATION

• PhD in Electrical Engineering, POSTECH, Pohang, South Korea, (2022 - current)

• Master in Electrical Engineering, POSTECH, Pohang, South Korea, (2022)

• Bachelor in Electrical Engineering, POSTECH, Pohang, South Korea, (2019)

EXPERIENCE

• EML Lab in Germany (2.2025 - current)

• ML Research team in Naver AI Lab, South Korea, (2.2022 - 8.2022)