Kwangrok Ryoo

According to our database, Kwangrok Ryoo authored at least 7 papers between 2022 and 2023.

Collaborative distances:

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

2023

Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection.

Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee

CoRR, 2023

3D GAN Inversion with Pose Optimization.

Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim

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

2022

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels.

Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim

CoRR, 2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.

Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim

CoRR, 2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.

Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization.

Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels.

Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022