Nam Hyeon-Woo

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Early Failure Detection and Intervention in Video Diffusion Models.
CoRR
Byung-Ki Kwon, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
2026 J jnl
GaussExplorer: 3D Gaussian Splatting for Embodied Exploration and Reasoning.
CoRR
Kim Yu-Ji, Dahye Lee, Kim Jun-Seong, Geonu Kim, Nam Hyeon-Woo, Yongjin Kwon, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh
2025 J jnl
Automated Model Discovery via Multi-modal & Multi-step Pipeline.
CoRR
JungMok Lee, Nam Hyeon-Woo, Moon Ye-Bin, Junhyun Nam, Tae-Hyun Oh
2025 J jnl
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation.
CoRR
Lee Chae-Yeon, Nam Hyeon-Woo, Tae-Hyun Oh
2025 J jnl
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching.
CoRR
Won-Seok Choi, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Dong-ju Jeong, Jinyoung Hwang, Tae-Hyun Oh
2025 J jnl
SYNAuG: Exploiting synthetic data for data imbalance problems.
Pattern Recognit. Lett.
Moon Ye-Bin, Nam Hyeon-Woo, Won-Seok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
2025 J jnl
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models.
Trans. Mach. Learn. Res.
Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh
2024 — conf
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-Language Models.
ECCV (11)
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh
2024 J jnl
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models.
CoRR
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh
2024 J jnl
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models.
CoRR
Nam Hyeon-Woo, Moon Ye-Bin, Won-Seok Choi, Lee Hyun, Tae-Hyun Oh
2023 A* conf
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline.
ICLR
Byung-Ki Kwon, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh
2023 J jnl
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective.
CoRR
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
2023 A* conf
Scratching Visual Transformer's Back with Uniform Attention.
ICCV
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
2022 A* conf
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning.
ICLR
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
2022 J jnl
Scratching Visual Transformer's Back with Uniform Attention.
CoRR
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
2021 J jnl
FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning.
CoRR
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh