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Chanho Ahn
Chanho Ahn
Samsung Advanced Institute of Technology
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Nestednet: Learning nested sparse structures in deep neural networks
E Kim, C Ahn, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
722018
Deep elastic networks with model selection for multi-task learning
C Ahn, E Kim, S Oh
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
522019
Graph-matching-based correspondence search for nonrigid point cloud registration
S Chang, C Ahn, M Lee, S Oh
Computer vision and image understanding 192, 102899, 2020
182020
Deep virtual networks for memory efficient inference of multiple tasks
E Kim, C Ahn, PHS Torr, S Oh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
122019
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
J Lim, Y Kim, B Kim, C Ahn, J Shin, E Yang, S Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Sample-wise Label Confidence Incorporation for Learning with Noisy Labels
C Ahn, K Kim, J Baek, J Lim, S Han
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning
E Kim, C Ahn, S Oh
Neurocomputing 442, 116-124, 2021
22021
Incremental Learning With Adaptive Model Search and a Nominal Loss Model
C Ahn, E Kim, S Oh
IEEE Access 10, 16052-16062, 2022
12022
Method and device with object classification
KIM Kikyung, J Baek, C Ahn, HAN SeungJu
US Patent App. 18/193,712, 2024
2024
Method and apparatus with machine learning
C Ahn, KIM Kikyung, J Baek, HAN SeungJu
US Patent App. 18/314,378, 2024
2024
Growing a Brain with Sparsity-Inducing Generation for Continual Learning
H Jin, G Kim, C Ahn, E Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing-Supplementary Material
J Lim, Y Kim, B Kim, C Ahn, J Shin, E Yang, S Han
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