Seuraa
Sohyun Lee
Sohyun Lee
POSTECH
Vahvistettu sähköpostiosoite verkkotunnuksessa postech.ac.kr
Nimike
Viittaukset
Viittaukset
Vuosi
Style neophile: Constantly seeking novel styles for domain generalization
J Kang, S Lee, N Kim, S Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
892022
Fifo: Learning fog-invariant features for foggy scene segmentation
S Lee, T Son, S Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
70*2022
Combating Label Distribution Shift for Active Domain Adaptation
S Hwang, S Lee, S Kim, J Ok, S Kwak
European Conference on Computer Vision (ECCV), 2022
212022
Human pose estimation in extremely low-light conditions
S Lee, J Rim, B Jeong, G Kim, B Woo, H Lee, S Cho, S Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
132023
Active learning for semantic segmentation with multi-class label query
S Hwang, S Lee, H Kim, M Oh, J Ok, S Kwak
Advances in Neural Information Processing Systems 36, 27020-27039, 2023
32023
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
S Lee, N Kim, S Kim, S Kwak
European Conference on Computer Vision (ECCV), 2024
12024
Method and apparatus for learning human pose estimation in low-light conditions
K Suha, J Rim, B Woo, KIM Geonu, S Cho, LEE Sohyun, LEE Haechan
US Patent App. 18/364,823, 2024
2024
Method and device for learning fog-invariant feature
S KWAK, T SON, S LEE
US Patent App. 18/338,760, 2023
2023
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions—Supplementary Material—
S Lee, N Kim, S Kim, S Kwak
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Artikkelit 1–9