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Sungrae Park
Sungrae Park
Upstage AI
upstage.ai의 이메일 확인됨 - 홈페이지
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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
3002019
Adversarial dropout for supervised and semi-supervised learning
S Park, JK Park, SJ Shin, IC Moon
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1342018
Efficient extraction of domain specific sentiment lexicon with active learning
S Park, W Lee, IC Moon
Pattern Recognition Letters 56, 38-44, 2015
702015
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
502020
Dirichlet variational autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
492020
Swad: Domain generalization by seeking flat minima
J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park
Advances in Neural Information Processing Systems 34, 22405-22418, 2021
47*2021
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
282018
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
T Hong, D Kim, M Ji, W Hwang, D Nam, S Park
arXiv e-prints, arXiv: 2108.04539, 2021
27*2021
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
272021
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
262017
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
232020
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
222019
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
192019
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
72015
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
62020
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
Associative topic models with numerical time series
S Park, W Lee, IC Moon
Information Processing & Management 51 (5), 737-755, 2015
52015
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
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
J Cha, K Lee, S Park, S Chun
arXiv preprint arXiv:2203.10789, 2022
22022
Synthtiger: Synthetic text image generator towards better text recognition models
M Yim, Y Kim, HC Cho, S Park
International Conference on Document Analysis and Recognition, 109-124, 2021
22021
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