Sungrae Park
Sungrae Park
Upstage AI
Verified email at upstage.ai - Homepage
Title
Cited by
Cited by
Year
What is wrong with scene text recognition model comparisons? dataset and model analysis
J Baek, G Kim, J Lee, S Park, D Han, S Yun, SJ Oh, H Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1742019
Adversarial dropout for supervised and semi-supervised learning
S Park, JK Park, SJ Shin, IC Moon
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1082018
Efficient extraction of domain specific sentiment lexicon with active learning
S Park, W Lee, IC Moon
Pattern Recognition Letters 56, 38-44, 2015
662015
Dirichlet variational autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
242020
Identifying prescription patterns with a topic model of diseases and medications
S Park, D Choi, M Kim, W Cha, C Kim, IC Moon
Journal of biomedical informatics 75, 35-47, 2017
212017
On recognizing texts of arbitrary shapes with 2D self-attention
J Lee, S Park, J Baek, SJ Oh, S Kim, H Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
202020
Diagnosis prediction via medical context attention networks using deep generative modeling
W Lee, S Park, W Joo, IC Moon
2018 IEEE International Conference on Data Mining (ICDM), 1104-1109, 2018
182018
Post-OCR parsing: building simple and robust parser via BIO tagging
W Hwang, S Kim, M Seo, J Yim, S Park, S Park, J Lee, B Lee, H Lee
Workshop on Document Intelligence at NeurIPS 2019, 2019
142019
Hierarchical context enabled recurrent neural network for recommendation
K Song, M Ji, S Park, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4983-4991, 2019
92019
Character region attention for text spotting
Y Baek, S Shin, J Baek, S Park, J Lee, D Nam, H Lee
European Conference on Computer Vision, 504-521, 2020
82020
Supervised dynamic topic models for associative topic extraction with a numerical time series
S Park, W Lee, IC Moon
Proceedings Of the 2015 Workshop On Topic Models: Post-Processing And …, 2015
62015
Modeling multiple fields of collective emotions with brownian agent-based model
W Lee, S Park, IC Moon
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
62014
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
T Hong, D Kim, M Ji, W Hwang, D Nam, S Park
arXiv preprint arXiv:2108.04539, 2021
5*2021
Associative topic models with numerical time series
S Park, W Lee, IC Moon
Information Processing & Management 51 (5), 737-755, 2015
52015
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
M Ji, B Heo, S Park
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7945-7952, 2021
42021
SWAD: Domain Generalization by Seeking Flat Minima
J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park
arXiv preprint arXiv:2102.08604, 2021
3*2021
Adversarial dropout for recurrent neural networks
S Park, K Song, M Ji, W Lee, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4699-4706, 2019
32019
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
Y Baek, D Nam, S Park, J Lee, S Shin, J Baek, CY Lee, H Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
Hierarchical prescription pattern analysis with symptom labels
SJ Shin, JY Oh, S Park, M Kim, IC Moon
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 178-187, 2015
12015
Disease-medicine topic model for prescription record mining
S Park, D Choi, W Lee, D Jung, M Kim, IC Moon
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 86-93, 2014
12014
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Articles 1–20