Sungrae Park

CLOVA AI Research, NAVER Corp

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Research Interest
Regularization and Optimization for Deep Neural Networks
Probabilistic Graphical Models for Data Analysis
Analysis of Sequential Datasets
Scene Text Detection & Recognition (OCR)

Papers16 papers

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Dirichlet Variational Autoencoder

Weonyoung Joo,Wonsung Lee,Sungrae Park,Il-Chul Moon

Pattern Recognit., (2020): 107514

EIBibtex

CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks

Baek Youngmin, Nam Daehyun,Park Sungrae,Lee Junyeop, Shin Seung, Baek Jeonghun, Lee Chae Young,Lee Hwalsuk

CVPR Workshops, pp.2404-2412, (2020)

EIBibtex

Hierarchical Context enabled Recurrent Neural Network for Recommendation

Kyungwoo Song, Mingi Ji,Sungrae Park,Il-Chul Moon

national conference on artificial intelligence, (2019)

Cited by4EIBibtex

Adversarial Dropout for Recurrent Neural Networks

Sungrae Park,Kyungwoo Song, Mingi Ji,Wonsung Lee,Il-Chul Moon

AAAI, (2019)

Cited by2EIBibtex

What is wrong with scene text recognition model comparisons? dataset and model analysis

Jeonghun Baek,Geewook Kim, Junyeop Lee,Sungrae Park,Dongyoon Han,Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee

arXiv: Computer Vision and Pattern Recognition, (2019): 4715-4723

Cited by38EIBibtex

Dirichlet Variational Autoencoder

Weonyoung Joo,Wonsung Lee,Sungrae Park,Il-Chul Moon

CoRR, (2019)

Cited by5EIBibtex

Hierarchical Prescription Pattern Analysis with Symptom Labels

Su-Jin Shin, Je-Yong Oh,Sungrae Park,Minki Kim,Il-Chul Moon

Pattern Recognition Letters, (2018): 94-100

EIBibtex

Adversarial Dropout for Supervised and Semi-supervised Learning

Sungrae Park, Jun-Keon Park,Su-Jin Shin,Il-Chul Moon

national conference on artificial intelligence, (2018)

Cited by69EIBibtex

Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling

Wonsung Lee,Sungrae Park, Weonyoung Joo,Il-Chul Moon

ICDM, pp.1104-1109, (2018)

Cited by9EIBibtex

Identifying Prescription Patterns with a Topic Model of Diseases and Medications

Sungrae Park, Doosup Choi,Minki Kim,Wonchul Cha, Chuhyun Kim,Il-Chul Moon

Journal of Biomedical Informatics, (2017): 35-47

Cited by12WOSEIBibtex

Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series

Sungrae Park,Wonsung Lee,Il-Chul Moon

TM@CIKM, (2015)

Cited by5EIBibtex

Associative topic models with numerical time series

Sungrae Park,Wonsung Lee,Il-Chul Moon

Information Processing & Management, no. 5 (2015): 737-755

Cited by5EIBibtex

Efficient extraction of domain specific sentiment lexicon with active learning

Sungrae Park,Wonsung Lee,Il-Chul Moon

Pattern Recognition Letters, no. C (2015): 38-44

Cited by54EIBibtex

Disease-medicine topic model for prescription record mining

Dain Jung,Ilchul Moon,Doosup Choi,Sungrae Park,Minki Kim,Wonsung Lee

systems, man and cybernetics, (2014)

Bibtex

Disease-medicine topic model for prescription record mining

Sungrae Park,Doosup Choi,Wonsung Lee,Dain Jung,Minki Kim,Il-Chul Moon

SMC, pp.86-93, (2014)

Cited by1EIWOSBibtex

Modeling multiple fields of collective emotions with brownian agent-based model

Wonsung Lee,Sungrae Park,Il-Chul Moon

AAMAS, pp.797-804, (2014)

Cited by6EIBibtex

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