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2020 – today
- 2024
[j3]Hyungmin Kim
, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. 131: 107842 (2024)- [j2]Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowl. Based Syst. 293: 111692 (2024) - [c6]Hyeongdong Ban, Daehwan Kim, Hyungmin Kim, Hansang Cho:
Enhancing Anomaly Detection Performance in Manufacturing Industry through Improved Alignment Algorithms. ICEIC 2024: 1-3 - [c5]Subin Choi, Hyungmin Kim, Hansang Cho:
Defect Detection in the Manufacturing Domain Using Product Design Data and Self-Knowledge Distillation. ICEIC 2024: 1-4 - [c4]Jiayue Wang, Hyuk-Jae Lee, Hansang Cho, Byungsoo Kang, Hyunmin Jung:
Tri-Directional Decoder for Edge Discontinuity Classification. ISCAS 2024: 1-5 - [i6]Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR abs/2401.10050 (2024) - 2023
- [c3]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV 2023: 16642-16651 - [i5]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR abs/2307.10943 (2023) - 2022
- [j1]Daehwan Kim, Daun Jeong, Hyungmin Kim, Kibong Chong, Seungryong Kim, Hansang Cho:
Spatial Contrastive Learning for Anomaly Detection and Localization. IEEE Access 10: 17366-17376 (2022) - [c2]Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim:
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CVPR 2022: 19667-19677 - [i4]Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim:
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. CoRR abs/2201.10444 (2022) - [i3]Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim:
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CoRR abs/2203.16038 (2022) - [i2]Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. CoRR abs/2211.10938 (2022) - [i1]Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim:
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. CoRR abs/2211.11753 (2022)
2010 – 2019
- 2016
- [c1]Sungho Suh, Hansang Cho, Donglok Kim:
Robust Registration Method of 3D Point Cloud Data. ICPRAM 2016: 630-637
2000 – 2009
- 2008
- [p1]Linda G. Shapiro, Indriyati Atmosukarto, Hansang Cho, H. Jill Lin, Salvador Ruiz-Correa, Jenny Yuen:
Similarity-Based Retrieval for Biomedical Applications. Case-Based Reasoning on Images and Signals 2008: 355-387
Coauthor Index
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