Sungrae Park
Sungrae Park
Upstage AI
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Zitiert von
Zitiert von
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
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
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
BROS: A layout-aware pre-trained language model for understanding documents
T Hong, D Kim, M Ji, W Hwang, D Nam, S Park
CoRR, abs/2108.04539 2, 5, 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
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
Domain generalization by mutual-information regularization with pre-trained models
J Cha, K Lee, S Park, S Chun
European conference on computer vision, 440-457, 2022
Dirichlet variational autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
Efficient extraction of domain specific sentiment lexicon with active learning
S Park, W Lee, IC Moon
Pattern Recognition Letters 56, 38-44, 2015
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
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
Multi-modal text recognition networks: Interactive enhancements between visual and semantic features
B Na, Y Kim, S Park
European Conference on Computer Vision, 446-463, 2022
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
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
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
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
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
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
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
Rewritenet: Realistic scene text image generation via editing text in real-world image
J Lee, Y Kim, S Kim, M Yim, S Shin, G Lee, S Park
arXiv preprint arXiv:2107.11041 1, 2021
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