Nam Hyeon-Woo

According to our database, Nam Hyeon-Woo authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Early Failure Detection and Intervention in Video Diffusion Models.

Byung-Ki Kwon, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh

CoRR, March, 2026

GaussExplorer: 3D Gaussian Splatting for Embodied Exploration and Reasoning.

Kim Yu-Ji, Dahye Lee, Kim Jun-Seong, GeonU Kim, Nam Hyeon-Woo, Yongjin Kwon, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh

CoRR, January, 2026

Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching.

Won-Seok Choi, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Dong-Ju Jeong, Jinyoung Hwang, Tae-Hyun Oh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation.

Lee Chae-Yeon, Nam Hyeon-Woo, Tae-Hyun Oh

CoRR, September, 2025

VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models.

Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh

Trans. Mach. Learn. Res., 2025

SYNAuG: Exploiting synthetic data for data imbalance problems.

Moon Ye-Bin, Nam Hyeon-Woo, Won-Seok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh

Pattern Recognit. Lett., 2025

Automated Model Discovery via Multi-modal & Multi-step Pipeline.

JungMok Lee, Nam Hyeon-Woo, Moon Ye-Bin, Junhyun Nam, Tae-Hyun Oh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

VSC: Visual Search Compositional Text-to-Image Diffusion Model.

Do Huu Dat, Nam Hyeon-Woo, Po Yuan Mao, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-Language Models.

Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective.

Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh

CoRR, 2023

DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline.

Byung-Ki Kwon, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scratching Visual Transformer's Back with Uniform Attention.

Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning.

Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning.

Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh

CoRR, 2021