Jonghyun Lee

According to our database, Jonghyun Lee authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation.

Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation.

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon

CoRR, 2024

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.

Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

Gradient Alignment with Prototype Feature for Fully Test-time Adaptation.

Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

2022

Confidence Score for Source-Free Unsupervised Domain Adaptation.

Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

2021

Removing Undesirable Feature Contributions Using Out-of-Distribution Data.

Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Joint Contrastive Learning for Unsupervised Domain Adaptation.

Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon

CoRR, 2020

iCaps: An Interpretable Classifier via Disentangled Capsule Networks.

Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon

Proceedings of the Computer Vision - ECCV 2020, 2020