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Sungrae Park
Sungrae Park
Upstage AI
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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
3952019
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
1552018
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
123*2021
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
762020
Efficient extraction of domain specific sentiment lexicon with active learning
S Park, W Lee, IC Moon
Pattern Recognition Letters 56, 38-44, 2015
732015
Dirichlet variational autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
632020
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
592021
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
T Hong, D Kim, M Ji, W Hwang, D Nam, S Park
CoRR, Vol. abs/2108.04539 (2021). showeprint [arXiv] 2108, 2021
57*2021
Character region attention for text spotting
Y Baek, S Shin, J Baek, S Park, J Lee, D Nam, H Lee
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
422020
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
352018
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
282017
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
262019
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
232019
Domain generalization by mutual-information regularization with pre-trained models
J Cha, K Lee, S Park, S Chun
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
222022
SynthTIGER: synthetic text image GEneratoR towards better text recognition models
M Yim, Y Kim, HC Cho, S Park
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021
132021
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
122020
Multi-modal text recognition networks: Interactive enhancements between visual and semantic features
B Na, Y Kim, S Park
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
92022
Contrastive learning for knowledge tracing
W Lee, J Chun, Y Lee, K Park, S Park
Proceedings of the ACM Web Conference 2022, 2330-2338, 2022
82022
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
82015
Associative topic models with numerical time series
S Park, W Lee, IC Moon
Information Processing & Management 51 (5), 737-755, 2015
72015
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