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Publication search results
found 31 matches
- 2024
- Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
On the ideal number of groups for isometric gradient propagation. Neurocomputing 573: 127217 (2024) - 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) - 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
- 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) - Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Smooth momentum: improving lipschitzness in gradient descent. Appl. Intell. 53(11): 14233-14248 (2023) - 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) - 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) - 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) - Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields. BMVC 2023: 214 - 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 - 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) - 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) - 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) - 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
- 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) - 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
- 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) - 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) - Hyeyeon Lee, Changuk Lee, Jae-Youl Lee, Yoon-Kyung Choi, Youngcheol Chae:
A 0.033-mm2 21.5-aF Resolution Continuous-Time Delta-Sigma Capacitance-to-Digital Converter with Parasitic Capacitance Immunity up to 480pF. A-SSCC 2021: 1-3 - 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) - 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
- Kyung-Yul Cheon, Hyeyeon Kwon, Igor Kim, Seungkeun Park, Jun Kyun Choi:
Mobile Traffic Assessment for 4G Network: Virtual Sample Region Approach. ICACT 2020: 310-313 - Byoung-Joo Yoo, Dong-Hyuk Lim, Hyonguk Pang, June-Hee Lee, Seung-Yeob Baek, Naxin Kim, Dong-Ho Choi, Young-Ho Choi, Hyeyeon Yang, Taehun Yoon, Sang-Hyeok Chu, Kangjik Kim, Woochul Jung, Bong-Kyu Kim, Jaechol Lee, Gunil Kang, Sang-Hune Park, Michael Choi, Jongshin Shin:
6.4 A 56Gb/s 7.7mW/Gb/s PAM-4 Wireline Transceiver in 10nm FinFET Using MM-CDR-Based ADC Timing Skew Control and Low-Power DSP with Approximate Multiplier. ISSCC 2020: 122-124 - Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim:
Extending Class Activation Mapping Using Gaussian Receptive Field. CoRR abs/2001.05153 (2020) - 2019
- 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) - Seung-Woo Song, Jukwan Na, Moon Hyung Jang, Hyeyeon Lee, Hyesoo Lee, Yongbeom Lim, Heonjin Choi, Youngcheol Chae:
A CMOS VEGF Sensor for Cancer Diagnosis Using a Peptide Aptamer-Based Functionalized Microneedle. IEEE Trans. Biomed. Circuits Syst. 13(6): 1288-1299 (2019) - Seung-Woo Song, Jukwan Na, Moon Hyung Jang, Hyeyeon Lee, Hyesoo Lee, Yongbeom Lim, Heonjin Choi, Youngcheol Chae:
A Capacitive Biosensor for Cancer Diagnosis Using a Functionalized Microneedle and a 13.7b-Resolution Capacitance-to-Digital Converter from 1 to 100nF. ISSCC 2019: 194-196 - 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
- 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 - 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
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