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2020 – today
- 2024
[c21]Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng
:
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression. AAAI 2024: 855-863- 2023
- [i16]Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng:
SRFormer: Empowering Regression-Based Text Detection Transformer with Segmentation. CoRR abs/2308.10531 (2023) - 2022
- [c20]Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. AAAI 2022: 10767-10775 - [c19]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) 2022: 440-457 - [c18]Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. ECCV (28) 2022: 446-463 - [c17]Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park:
Contrastive Learning for Knowledge Tracing. WWW 2022: 2330-2338 - [i15]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR abs/2203.10789 (2022) - 2021
- [c16]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. AAAI 2021: 7945-7952 - [c15]Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park:
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. ICDAR (4) 2021: 109-124 - [c14]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 - [i14]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. CoRR abs/2102.02973 (2021) - [i13]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) - [i12]Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park:
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. CoRR abs/2107.09313 (2021) - [i11]Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park:
RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image. CoRR abs/2107.11041 (2021) - [i10]Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents. CoRR abs/2108.04539 (2021) - [i9]Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. CoRR abs/2111.15263 (2021) - 2020
- [j5]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. Pattern Recognit. 107: 107514 (2020) - [c13]Sungrae Park, Geewook Kim, Junyeop Lee, Junbum Cha, Ji-Hoon Kim, Hwalsuk Lee:
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. COLING 2020: 6883-6893 - [c12]Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CVPR Workshops 2020: 2326-2335 - [c11]Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee:
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks. CVPR Workshops 2020: 2404-2412 - [c10]Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee:
Character Region Attention for Text Spotting. ECCV (29) 2020: 504-521 - [i8]Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee:
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks. CoRR abs/2006.06244 (2020) - [i7]Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee:
Character Region Attention For Text Spotting. CoRR abs/2007.09629 (2020)
2010 – 2019
- 2019
- [c9]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. AAAI 2019: 4699-4706 - [c8]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI 2019: 4983-4991 - [c7]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019: 4714-4722 - [i6]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. CoRR abs/1901.02739 (2019) - [i5]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR abs/1904.01906 (2019) - [i4]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. CoRR abs/1904.09816 (2019) - [i3]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR abs/1904.12674 (2019) - [i2]Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CoRR abs/1910.04396 (2019) - 2018
- [j4]Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical prescription pattern analysis with symptom labels. Pattern Recognit. Lett. 111: 94-100 (2018) - [c6]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI 2018: 3917-3924 - [c5]Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon:
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. ICDM 2018: 1104-1109 - 2017
- [j3]Sungrae Park, Doosup Choi, Minki Kim, Won Chul Cha, Chu Hyun Kim, Il-Chul Moon:
Identifying prescription patterns with a topic model of diseases and medications. J. Biomed. Informatics 75: 35-47 (2017) - [i1]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-supervised Learning. CoRR abs/1707.03631 (2017) - 2015
- [j2]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Associative topic models with numerical time series. Inf. Process. Manag. 51(5): 737-755 (2015) - [j1]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Efficient extraction of domain specific sentiment lexicon with active learning. Pattern Recognit. Lett. 56: 38-44 (2015) - [c4]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. TM@CIKM 2015: 49-54 - [c3]Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical Prescription Pattern Analysis with Symptom Labels. ICDM Workshops 2015: 178-187 - 2014
- [c2]Wonsung Lee, Sungrae Park, Il-Chul Moon:
Modeling multiple fields of collective emotions with brownian agent-based model. AAMAS 2014: 797-804 - [c1]Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon:
Disease-medicine topic model for prescription record mining. SMC 2014: 86-93
Coauthor Index
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