Hyeyeon Choi - RankMe

29 papers A 2Misc 2Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Noise-robust anomaly detection framework using temporal features for industrial applications. Comput. Electr. Eng. Hyeonah Jang, Taehan Lee, Bum Jun Kim, Hyeyeon Choi, Sang Woo Kim
2026	J	`jnl`	Resolution-aware design of atrous rates for semantic segmentation networks. Eng. Appl. Artif. Intell. Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2025	J	`jnl`	CPDMS: a database system for crop physiological disorder management. Database J. Biol. Databases Curation Jaehyeon Oh, Hwang-Weon Jeong, Il Pyung Ahn, Seon-Hwa Bae, Sung Mi Kim, Eunhee Kim, Su Jung Ra, Jinjeong Lee, Hyeyeon Choi, Young-Joo Seol
2025	J	`jnl`	Font conversion for steel product number recognition: A conditioned diffusion model approach. Adv. Eng. Informatics Taehan Lee, Hyeyeon Choi, Bum Jun Kim, Hyeonah Jang, Donggeon Lee, Sang Woo Kim
2024	J	`jnl`	Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks. ACM Trans. Intell. Syst. Technol. Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2024	J	`jnl`	On the ideal number of groups for isometric gradient propagation. Neurocomputing Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2024	J	`jnl`	Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data. J. Ind. Inf. Integr. Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, Woosang Shin, Sang Woo Kim
2023	J	`jnl`	Dead pixel test using effective receptive field. Pattern Recognit. Lett. Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
2023	J	`jnl`	Extending class activation mapping using Gaussian receptive field. Comput. Vis. Image Underst. Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim
2023	J	`jnl`	How to Use Dropout Correctly on Residual Networks with Batch Normalization. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim
2023	A	`conf`	How to use dropout correctly on residual networks with batch normalization. UAI Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim
2023	J	`jnl`	Improved robustness of vision transformers via prelayernorm in patch embedding. Pattern Recognit. Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
2023	J	`jnl`	On the Ideal Number of Groups for Isometric Gradient Propagation. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2023	J	`jnl`	Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2023	J	`jnl`	Smooth momentum: improving lipschitzness in gradient descent. Appl. Intell. Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2023	J	`jnl`	Two-Stage Billet Identification Number Recognition Using Label Distribution. IEEE Access Hyeonah Jang, Hyeyeon Choi, Bum Jun Kim, Sang Woo Kim, Gyogwon Koo
2023	A	`conf`	Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields. BMVC Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2023	J	`jnl`	Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim
2022	J	`jnl`	Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection. IEEE Trans. Ind. Informatics Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, Sang Woo Kim
2022	J	`jnl`	Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
2021	J	`jnl`	Dead Pixel Test Using Effective Receptive Field. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
2021	J	`jnl`	Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding. CoRR Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim
2021	J	`jnl`	Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number. Expert Syst. Appl. Gyogwon Koo, Jong Pil Yun, Hyeyeon Choi, Sang Woo Kim
2021	J	`jnl`	Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments. Expert Syst. Appl. Hyeyeon Choi, Gyogwon Koo, Bum Jun Kim, Sang Woo Kim
2020	J	`jnl`	Extending Class Activation Mapping Using Gaussian Receptive Field. CoRR Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim
2019	J	`jnl`	Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test. IEEE Access Gyogwon Koo, Crino Shin, Hyeyeon Choi, Jong-Hak Lee, Sang Woo Kim, Jong Pil Yun
2019	Misc	`conf`	Real-time Power Line Detection Network using Visible Light and Infrared Images. IVCNZ Hyeyeon Choi, Gyogwon Koo, Bum Jun Kim, Sang Woo Kim
2017	Misc	`conf`	Transfer learning of a deep convolutional neural network for localizing handwritten slab identification numbers. MVA Sang Jun Lee, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim
2017	—	`conf`	Weakly supervised learning with convolutional neural networks for power line localization. SSCI Sang Jun Lee, Jong Pil Yun, Hyeyeon Choi, Wookyong Kwon, Gyogwon Koo, Sang Woo Kim