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Seunghyun Park 0001
Person information
- affiliation: NAVER Corp., Clova AI Research, Seoul, South Korea
- affiliation (PhD 2018): Korea University, School of Electrical Engineering, Seoul, South Korea
- affiliation: Seoul National University, Department of Electrical and Computer Engineering, Seoul, South Korea
Other persons with the same name
- Seunghyun Park — disambiguation page
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2020 – today
- 2024
[c17]Jinbae Im, JeongYeon Nam, Nokyung Park, Hyungmin Lee, Seunghyun Park:
EGTR: Extracting Graph from Transformer for Scene Graph Generation. CVPR 2024: 24229-24238
[c16]Yamato Okamoto
, Youngmin Baek
, Geewook Kim
, Ryota Nakao
, DongHyun Kim
, Moonbin Yim
, Seunghyun Park
, Bado Lee
:
CREPE: Coordinate-Aware End-to-End Document Parser. ICDAR (4) 2024: 3-20
[c15]Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park:
Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning. ICPR (9) 2024: 16-31
[c14]Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim:
Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation. WACV 2024: 4663-4672
[i16]Jinbae Im, JeongYeon Nam, Nokyung Park, Hyungmin Lee, Seunghyun Park:
EGTR: Extracting Graph from Transformer for Scene Graph Generation. CoRR abs/2404.02072 (2024)
[i15]Yamato Okamoto, Youngmin Baek, Geewook Kim
, Ryota Nakao, Donghyun Kim, Moonbin Yim, Seunghyun Park, Bado Lee:
CREPE: Coordinate-Aware End-to-End Document Parser. CoRR abs/2405.00260 (2024)- 2023
[c13]Geewook Kim
, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park:
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP 2023: 11989-12010
[c12]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-Supervised Learning. WACV 2023: 2749-2757
[i14]Geewook Kim
, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park:
Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR abs/2305.15080 (2023)- 2022
[c11]Seonwoo Min
, Nokyung Park
, Siwon Kim
, Seunghyun Park
, Jinkyu Kim
:
Grounding Visual Representations with Texts for Domain Generalization. ECCV (37) 2022: 37-53
[c10]Geewook Kim
, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
OCR-Free Document Understanding Transformer. ECCV (28) 2022: 498-517
[i13]Geewook Kim, Wonseok Hwang, Minjoon Seo, Seunghyun Park:
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching. CoRR abs/2202.13959 (2022)
[i12]Seonghyeon Kim, Seung Shin, Yoonsik Kim, Hancheol Cho, Taeho Kil, Jaeheung Surh, Seunghyun Park, Bado Lee, Youngmin Baek:
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. CoRR abs/2203.05122 (2022)
[i11]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-supervised Learning. CoRR abs/2207.03552 (2022)
[i10]Seonwoo Min
, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim:
Grounding Visual Representations with Texts for Domain Generalization. CoRR abs/2207.10285 (2022)- 2021
[j4]Seonwoo Min
, Seunghyun Park
, Siwon Kim
, Hyun-Soo Choi, Byunghan Lee
, Sungroh Yoon
:
Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access 9: 123912-123926 (2021)
[c9]Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang, Minjoon Seo:
Spatial Dependency Parsing for Semi-Structured Document Information Extraction. ACL/IJCNLP (Findings) 2021: 330-343
[c8]Daehee Kim, Youngjun Yoo, Seunghyun Park, Jinkyu Kim, Jaekoo Lee:
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. ICCV 2021: 9599-9608
[c7]Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park:
SWAD: Domain Generalization by Seeking Flat Minima. NeurIPS 2021: 22405-22418
[i9]Junbum Cha, Hancheol Cho, Kyungjae Lee, Seunghyun Park, Yunsung Lee, Sungrae Park:
Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts. CoRR abs/2102.08604 (2021)
[i8]Daehee Kim, Seunghyun Park, Jinkyu Kim, Jaekoo Lee:
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. CoRR abs/2104.09841 (2021)
[i7]Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
Donut: Document Understanding Transformer without OCR. CoRR abs/2111.15664 (2021)- 2020
[c6]Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo:
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. AKBC 2020
[i6]Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang, Minjoon Seo:
Spatial Dependency Parsing for 2D Document Understanding. CoRR abs/2005.00642 (2020)
[i5]Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo:
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. CoRR abs/2005.00644 (2020)
2010 – 2019
- 2019
[i4]Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo:
A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. CoRR abs/1902.01069 (2019)
[i3]Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR abs/1912.05625 (2019)- 2018
[j3]Seunghyun Park, Hyun-Soo Choi
, Byunghan Lee, Jongsik Chun
, Joong-Ho Won, Sungroh Yoon:
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 441-451 (2018)
[c5]Seunghyun Park, You Jin Kim, Jeong-Whun Kim, Jin Joo Park, Borim Ryu
, Jung-Woo Ha
:
Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. BIBE 2018: 110-117- 2017
[c4]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS 2017: 2891-2900- 2016
[c3]Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon:
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. BCB 2016: 434-442
[i2]Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon:
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. CoRR abs/1603.09123 (2016)
[i1]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR abs/1605.00017 (2016)- 2015
[c2]Seunghyun Park, Soowon Kang, Hyeyoung Min, Sungroh Yoon:
Computational prediction of competitive endogenous RNA. BioCAS 2015: 1-4- 2013
[c1]Sunyoung Kwon
, Seunghyun Park, Byunghan Lee, Sungroh Yoon:
In-depth analysis of interrelation between quality scores and real errors in illumina reads. EMBC 2013: 635-638- 2011
[j2]Sungroh Yoon, Jinkyu Kim, Justine Hum, Hanjoo Kim, Seunghyun Park, Wipapat Kladwang, Rhiju Das
:
HiTRACE: high-throughput robust analysis for capillary electrophoresis. Bioinform. 27(13): 1798-1805 (2011)- 2010
[j1]Seunghyun Park, Hanjoo Kim, Hichan Moon, Jun Heo, Sungroh Yoon:
Concurrent simulation platform for energy-aware smart metering systems. IEEE Trans. Consumer Electron. 56(3): 1918-1926 (2010)
Coauthor Index

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last updated on 2025-11-10 00:21 CET by the dblp team
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