| 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 | 269 | 2019 |
| 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 | 131 | 2018 |
| Efficient extraction of domain specific sentiment lexicon with active learning S Park, W Lee, IC Moon Pattern Recognition Letters 56, 38-44, 2015 | 71 | 2015 |
| Dirichlet variational autoencoder W Joo, W Lee, S Park, IC Moon Pattern Recognition 107, 107514, 2020 | 43 | 2020 |
| 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 | 41 | 2020 |
| 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 | 27 | 2018 |
| 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 | 26 | 2017 |
| 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 | 22* | 2021 |
| 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, 2021 | 20* | 2021 |
| 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 | 19 | 2019 |
| 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 | 18 | 2021 |
| 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 | 17 | 2020 |
| 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 | 17 | 2019 |
| 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 | 7 | 2015 |
| 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 | 6 | 2014 |
| 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 | 5 | 2020 |
| Associative topic models with numerical time series S Park, W Lee, IC Moon Information Processing & Management 51 (5), 737-755, 2015 | 5 | 2015 |
| 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 | 3 | 2019 |
| 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 | 2 | 2021 |
| 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 | 2 | 2014 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTVerified email at kaist.ac.kr
