DAVIAN
Data and Visual Analytics Lab.

News

Congratulations!! Text2Colors is accepted to ECCV2018., 03 Jul 2018
Yunjey gave a talk at Naver Colloquium., 30 Mar 2018
Congratulations!! Davian's Homepage is reopened today., 06 Feb 2018

People

Anyung ha se yo! we are Awesome DAVIANers!


Jaegul Choo

Assistant Professor

Jaeseong Yoo

Ph.D Student

Survival analysis with Neural Network

Minsuk Choi

Ph.D Student

Visual analytics, Data mining

Kyeongpil Kang

Ph.D Student

Data mining, Social mining, Recommender system

Khan M. Azam

Ph.D Student

Smart Grid, Medical Imaging, Deep Learning

Sungha Choi

Ph.D Student

Machine learning in automotive industry

Jurim Lee

M.S Student

data mining, NLP

Minjeong Kim

M.S Student

NLP, Deep learning

Minje Choi

M.S Student

Computational social sciences, online communities, NLP

Yunjey Choi

M.S Student

Computer Vision, Generative Model

Jisu Lim

M.S Student

Reinforcement Learning, Big Data

Jinho Choi

M.S Student

Sunghyo Chung

M.S Student

Computer vision

Sunwoong Lee

M.S Student

Sungbok Shin

M.S Student

Nonnegative Matrix Factorization

Taehun Kim

M.S Student

Seongjae Choi

M.S Student

NLP, deep learning

David Keetae Park

M.S Student

Interactive Deep Learning, Generative Adversarial Networks

Hyojin Bahng

M.S Student

Computer Vision, Generative Models

Cheonbok Park

M.S Student

Deep Learning ,NLP,Generative Model

Wonwoong Cho

M.S Student

Deep Learning, HCI

Youngwoo Cho

M.S Student

Seungjoo Yoo

B.S Student

Sanghun Jung

B.S Student

Soyoung Yang

B.S Student

NLP, Deep Learning

J. Taery Kim

B.S Student

Publications


Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation

Wonwoong Cho,* Hyojin Bahng,* David K. Park,* Seungjoo Yoo,* Ziming Wu, Xiaojuan Ma, and Jaegul Choo (*: equal contributions)
15th European Conference on Computer Vision (ECCV), 2018, Munich, Germany, Accepted. [PDF] [CODE]

MEGAN: Mixture of Experts of Generative Adversarial Networks for Image Generation via Categorical Reparameterization

David K. Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, and Noseong Park
International Joint Conference on Artificial Intelligence (IJCAI), 2018, Stockholm, Sweden, Accepted (20.5% acceptance rate). [PDF] [CODE]

Explainable, Interactive Deep Learning

Jaegul Choo and Shixia Liu
IEEE Computer Graphics and Applications (CG&A), Accepted. [PDF]

PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision

Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, and Jaegul Choo
Computer Graphics Forum (CGF), 2018 (Proc. EuroVis'18), Brno, Czech Republic, Accepted (29% acceptance rate). [PDF] [CODE]

Short Text Topic Modeling via Bi-Relational Matrix Factorization

Tian Shi, Kyeongpil Kang, Jaegul Choo, and Chandan K. Reddy
27th International World Wide Web Conference (WWW), 2018, Lyon, France, Accepted (15% acceptance rate). [PDF]

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media

Minsuk Choi, Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake, Haesun Park, and Jaegul Choo
ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018, Accepted (25.7% acceptance rate). [PDF] [VIDEO]

ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding

Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, and Niklas Elmqvist
IEEE Trans. on Visualization and Computer Graphics (TVCG), 2018 (Proc. IEEE Vis'17), Accepted (21% acceptance rate). [PDF] [URL]

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, UT, Accepted as an Oral Presentation (2.1% acceptance rate for oral-presentation papers). [PDF] [VIDEO] [CODE]

Consistent Comic Colorization with Pixel-wise Background Classification

Sungmin Kang, Jaegul Choo, and Jaehyuk Chang
NIPS'17 Workshop on Machine Learning for Creativity and Design, 2017, Accepted. [PDF]

Predicting the Currency Market in Online Gaming via Topic Modeling on Its Online Forum

Young Bin Kim, Kyeongpil Kang, Jaegul Choo, Shin Jin Kang, TaeHyeong Kim, JaeHo Im, Jong-Hyun Kim, and Chang Hun Kim
Complexity (IF=4.621), 2017, Accepted. [PDF]

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection

Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Drake Barry, Haesun Park, and Jaegul Choo
IEEE International Conference on Data Mining (ICDM), 2017, New Orleans, LA, Accepted (9.2% acceptance rate for regular papers). [PDF]

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images

Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, and Youngmin Kim
24th International Conference on Pattern Recognition (ICPR), 2018, Beijing, China, Accepted. [PDF]

Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization

Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, and Jaegul Choo
Knowledge and Information Systems (KAIS), 2017, Accepted. [PDF]

Toward Predicting Social Support Needs in Online Health Social Networks

Min-Je Choi, Sung-Hee Kim, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi, Jaegul Choo, and Jina Huh
Journal of Medical Internet Research (JMIR), Vol. 19, No. 8: e272, 2017 [PDF]

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization

Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K. Reddy
International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia, Invited to Best Sister Conferences Paper Track as the ICDM'16 Best Student Paper. [PDF]

End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks

Min-Je Choi, Sehun Jeong, Hakjoo Oh, and Jaegul Choo
International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia (26% acceptance rate) [PDF]

When Bitcoin Encounters Information in an Online Forum: Using Text Mining to Analyse User Opinions and Predict Value Fluctuation

Young Bin Kim, Jurim Lee, Nuri Park, Jaegul Choo, Jong-Hyun Kim, and Chang Hun Kim
PLoS ONE, Vol. 12, No. 5, pp. 1598-1621, 2017 [PDF]

VisIRR: An Interactive Visual System for Information Retrieval and Recommendation for Large-scale Document Data

Jaegul Choo, Hannah Kim, Edward Clarkson, Zhiecheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, and Haesun Park
ACM Transactions on Knowledge Discovery from Data (TKDD), 2017, Accepted. [PDF]

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering

Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, and Haesun Park
AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, CA (25% acceptance rate) [PDF] [VIDEO]

TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections

Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 151-160, 2017 (Proc. IEEE Vis'16) (21% acceptance rate) [PDF] [VIDEO]

Axisketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings

Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, and Alex Endert
IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 221-230, 2017 (Proc. IEEE Vis'16) (21% acceptance rate) [PDF] [VIDEO]

High-Recall Document Retrieval from Large-Scale Noisy Documents via Visual Analytics based on Targeted Topic Modeling

Hannah Kim, Jaegul Choo, Alex Endert, and Haesun Park
IEEE Conference on Visual Analytics Science and Technology (VAST), 2017, Phoenix, AZ (Poster paper) [PDF] [VIDEO]

Project Recommendation Using Heterogeneous Traits in Crowdfunding

Vineeth Rakesh, Jaegul Choo, and Chandan K. Reddy
9th International AAAI Conference on Web and Social Media (ICWSM), 2015, Oxford, UK (19% acceptance rate) [PDF]

DemographicVis: Analyzing Demographic Information based on User Generated Content

Wenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Derek Xiaoyu Wang, and William Ribarsky
IEEE Conference on Visual Analytics Science and Technology (VAST), 2015, Chicago, Il [PDF] [VIDEO]

Teaching

Fall 2017, COSE492: Deep Learning [VIDEO]
Fall 2017, COSE112: Math for Computer Science II (Probability and Statistics) [VIDEO]
Fall 2017, CVH109: Big Data and Information Retrieval [VIDEO]
Fall 2017, DFE606: Big Data Analysis Basics [VIDEO]
Spring 2017, COSE111: Math for Computer Science I (Linear Algebra) [VIDEO]
Spring 2017, AAA638: Visual Analytics [VIDEO]
Spring 2017, CVH126: Data Science [VIDEO]
Fall 2016, COSE112: Math for Computer Science II (Probability and Statistics) [VIDEO]
Fall 2016, AAA625: Numerical Linear Algebra [VIDEO]
Spring 2016, COSE111: Math for Computer Science I (Linear Algebra) [VIDEO]

Calendar

The most important thing is meeting the submission deadlines.

Map

Room# 502, Woo Jung Informatics Building, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea