Nam Hyeon-Woo

According to our database, Nam Hyeon-Woo authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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