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Hyeyeon Choi
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2020 – today
- 2024
- [j12]Bum Jun Kim
, Hyeyeon Choi
, Hyeonah Jang
, Sang Woo Kim
:
On the ideal number of groups for isometric gradient propagation. Neurocomputing 573: 127217 (2024) - [j11]Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim
, Hyeonah Jang, WooSang Shin, Sang Woo Kim
:
Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data. J. Ind. Inf. Integr. 38: 100559 (2024) - [j10]Bum Jun Kim
, Hyeyeon Choi
, Hyeonah Jang
, Sang Woo Kim
:
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks. ACM Trans. Intell. Syst. Technol. 15(3): 44:1-44:20 (2024) - 2023
- [j9]Hyeonah Jang, Hyeyeon Choi
, Bum Jun Kim
, Sang Woo Kim
, Gyogwon Koo:
Two-Stage Billet Identification Number Recognition Using Label Distribution. IEEE Access 11: 129311-129319 (2023) - [j8]Bum Jun Kim
, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
:
Smooth momentum: improving lipschitzness in gradient descent. Appl. Intell. 53(11): 14233-14248 (2023) - [j7]Bum Jun Kim
, Gyogwon Koo
, Hyeyeon Choi
, Sang Woo Kim
:
Extending class activation mapping using Gaussian receptive field. Comput. Vis. Image Underst. 231: 103663 (2023) - [j6]Bum Jun Kim
, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
:
Improved robustness of vision transformers via prelayernorm in patch embedding. Pattern Recognit. 141: 109659 (2023) - [j5]Bum Jun Kim
, Hyeyeon Choi
, Hyeonah Jang
, Dong Gu Lee
, Wonseok Jeong
, Sang Woo Kim
:
Dead pixel test using effective receptive field. Pattern Recognit. Lett. 167: 149-156 (2023) - [c5]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields. BMVC 2023: 214 - [c4]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim:
How to use dropout correctly on residual networks with batch normalization. UAI 2023: 1058-1067 - [i8]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
On the Ideal Number of Groups for Isometric Gradient Propagation. CoRR abs/2302.03193 (2023) - [i7]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim:
How to Use Dropout Correctly on Residual Networks with Batch Normalization. CoRR abs/2302.06112 (2023) - [i6]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields. CoRR abs/2305.04722 (2023) - [i5]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks. CoRR abs/2307.14179 (2023) - 2022
- [j4]Hyeyeon Choi
, Jong Pil Yun
, Bum Jun Kim
, Hyeonah Jang
, Sang Woo Kim
:
Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection. IEEE Trans. Ind. Informatics 18(11): 7686-7695 (2022) - [i4]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks. CoRR abs/2205.07260 (2022) - 2021
- [j3]Hyeyeon Choi
, Gyogwon Koo, Bum Jun Kim
, Sang Woo Kim
:
Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments. Expert Syst. Appl. 165: 113895 (2021) - [j2]Gyogwon Koo, Jong Pil Yun
, Hyeyeon Choi, Sang Woo Kim
:
Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number. Expert Syst. Appl. 168: 114377 (2021) - [i3]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
Dead Pixel Test Using Effective Receptive Field. CoRR abs/2108.13576 (2021) - [i2]Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding. CoRR abs/2111.08413 (2021) - 2020
- [i1]Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim:
Extending Class Activation Mapping Using Gaussian Receptive Field. CoRR abs/2001.05153 (2020)
2010 – 2019
- 2019
- [j1]Gyogwon Koo, Crino Shin, Hyeyeon Choi, Jong-Hak Lee, Sang Woo Kim
, Jong Pil Yun
:
Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test. IEEE Access 7: 145095-145103 (2019) - [c3]Hyeyeon Choi, Gyogwon Koo, Bum Jun Kim, Sang Woo Kim:
Real-time Power Line Detection Network using Visible Light and Infrared Images. IVCNZ 2019: 1-6 - 2017
- [c2]Sang Jun Lee, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim:
Transfer learning of a deep convolutional neural network for localizing handwritten slab identification numbers. MVA 2017: 330-333 - [c1]Sang Jun Lee, Jong Pil Yun, Hyeyeon Choi, Wookyong Kwon, Gyogwon Koo, Sang Woo Kim:
Weakly supervised learning with convolutional neural networks for power line localization. SSCI 2017: 1-8
Coauthor Index
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last updated on 2024-08-16 00:39 CEST by the dblp team
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