Kwangrok Ryoo

14 papers A* 1A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Correction: SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels.
Int. J. Comput. Vis.
Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim
2025 J jnl
MolMole: Molecule Mining from Scientific Literature.
CoRR
LG AI Research, Sehyun Chun, Jiye Kim, Ahra Jo, Yeonsik Jo, Seungyul Oh, Seungjun Lee, Kwangrok Ryoo, Jongmin Lee, Seung Hwan Kim, Byung Jun Kang, Soonyoung Lee, Jun Ha Park, Chanwoo Moon, Jiwon Ham, Haein Lee, Heejae Han, Jaeseung Byun, Soojong Do, Minju Ha, Dongyun Kim, Kyunghoon Bae, Woohyung Lim, Edward Hwayoung Lee, Yongmin Park, Jeongsang Yu, Gerrard Jeongwon Jo, Yeonjung Hong, Kyungjae Yoo, Sehui Han, Jaewan Lee, Changyoung Park, Kijeong Jeon, Sihyuk Yi
2025 J jnl
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels.
Int. J. Comput. Vis.
Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim
2023 A conf
3D GAN Inversion with Pose Optimization.
WACV
Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim
2023 J jnl
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection.
CoRR
Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee
2022 J jnl
3D GAN Inversion with Pose Optimization.
CoRR
Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim
2022 J jnl
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.
CoRR
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim
2022 J jnl
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization.
CoRR
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim
2022 — conf
ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization.
ECCV (30)
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim
2022 A* conf
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels.
CVPR
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim
2022 J jnl
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels.
CoRR
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim
2022 J jnl
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels.
CoRR
Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim
2022 — conf
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.
ECCV Workshops (4)
Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim
2022 J jnl
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.
CoRR
Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim