A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. - Jaegul Choo; Hyunsoo Kim; Haesun Park; Hongyuan Zha (BIBM, 2007)

Linear discriminant analysis for data with subcluster structure. - Haesun Park; Jaegul Choo; Barry L. Drake; Jinwoo Kang (ICPR, 2008)

Two-stage framework for visualization of clustered high dimensional data. - Jaegul Choo; Shawn Bohn; Haesun Park (IEEE VAST, 2009)

Timeline analysis of undercover activities VAST 2009 traffic mini challenge award: Good analytical technique. - Jaegul Choo; Emily Fujimoto; Hanseung Lee; Pedro R. Walteros (IEEE VAST, 2009)

Hierarchical Linear Discriminant Analysis for Beamforming. - Jaegul Choo; Barry L. Drake; Haesun Park (SDM, 2009)

iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. - Jaegul Choo; Hanseung Lee; Jaeyeon Kihm; Haesun Park (IEEE VAST, 2010)

GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. - Hanseung Lee; Jaegul Choo; Carsten Görg; Jaeeun Shim; Jaeyeon Kihm; Zhicheng Liu 001; Haesun Park; John T. Stasko (IEEE VAST, 2010)

Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. - Zhicheng Liu 001; Carsten Görg; Jaeyeon Kihm; Hanseung Lee; Jaegul Choo; Haesun Park; John T. Stasko (IEEE VAST, 2010)

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. - Jaegul Choo; Chandan K. Reddy; Hanseung Lee; Haesun Park (SDM, 2010)

A Visual Analytics Approach for Protein Disorder Prediction. - Jaegul Choo; Fuxin Li; Keehyoung Joo; Haesun Park (Expanding the Frontiers of Visual Analytics and Visualization, 2012)

Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. - Jaegul Choo; Shawn Bohn; Grant Nakamura; Amanda M. White; Haesun Park (SDM, 2012)

iVisClustering: An Interactive Visual Document Clustering via Topic Modeling. - Hanseung Lee; Jaeyeon Kihm; Jaegul Choo; John T. Stasko; Haesun Park (Comput. Graph. Forum, 2012)

Fast interactive visualization for multivariate data exploration. - Changhyun Lee; Wei Zhuo 001; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (CHI Extended Abstracts, 2013)

Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. - Changhyun Lee; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (ICDM Workshops, 2013)

Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. - Edward Clarkson; Jaegul Choo; John Turgeson; Ray Decuir; Haesun Park (IDEA@KDD, 2013)

Augmenting MATLAB with semantic objects for an interactive visual environment. - Changhyun Lee; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (IDEA@KDD, 2013)

An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. - Jaegul Choo; Hanseung Lee; Zhicheng Liu 001; John T. Stasko; Haesun Park (Visualization and Data Analysis, 2013)

Customizing Computational Methods for Visual Analytics with Big Data. - Jaegul Choo; Haesun Park (IEEE Computer Graphics and Applications, 2013)

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (IEEE Trans. Vis. Comput. Graph., 2013)

Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. - Carsten Görg; Zhicheng Liu 001; Jaeyeon Kihm; Jaegul Choo; Haesun Park; John T. Stasko (IEEE Trans. Vis. Comput. Graph., 2013)

Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2. - Jaegul Choo; Yi Han 005; Mengdie Hu; Hannah Kim 001; James Nugent; Francesco Poggi; Haesun Park; John T. Stasko (IEEE VAST, 2014)

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. - Jaegul Choo; Changhyun Lee; Hannah Kim 001; Hanseung Lee; Zhicheng Liu 001; Ramakrishnan Kannan; Charles D. Stolper; John T. Stasko; Barry L. Drake; Haesun Park (IEEE VAST, 2014)

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. - Jaegul Choo; Changhyun Lee; Hannah Kim 001; Hanseung Lee; Chandan K. Reddy; Barry L. Drake; Haesun Park (IEEE VAST, 2014)

Understanding and promoting micro-finance activities in Kiva.org. - Jaegul Choo; Changhyun Lee; Daniel Lee; Hongyuan Zha; Haesun Park (WSDM, 2014)

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. - Jaegul Choo; Daniel Lee; Bistra Dilkina; Hongyuan Zha; Haesun Park (WWW, 2014)

Project Recommendation Using Heterogeneous Traits in Crowdfunding. - Vineeth Rakesh; Jaegul Choo; Chandan K. Reddy (ICWSM, 2015)

DemographicVis: Analyzing demographic information based on user generated content. - Wenwen Dou; Isaac Cho; Omar ElTayeby; Jaegul Choo; Xiaoyu Wang 001; William Ribarsky (VAST, 2015)

IUI-TextVis 2015: Fourth Workshop on Interactive Visual Text Analytics. - Jaegul Choo; Christopher Collins 001; Wenwen Dou; Alex Endert (IUI, 2015)

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. - Hannah Kim 001; Jaegul Choo; Jingu Kim; Chandan K. Reddy; Haesun Park (KDD, 2015)

Coddlers, Scientists, Adventurers, and Opportunists: Personas to Inform Online Health Community Development. - Jina Huh; Bum Chul Kwon; Jaegul Choo; Sung-Hee Kim; Ji Soo Yi (CoRR, 2015)

Weakly supervised nonnegative matrix factorization for user-driven clustering. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (Data Min. Knowl. Discov., 2015)

Simple quasi-static analysis for coplanar stripline within multilayer dielectrics. - Jaeyul Choo; Chihyun Cho; Jaegul Choo (IEICE Electron. Express, 2015)

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. - Hannah Kim 001; Jaegul Choo; Chandan K. Reddy; Haesun Park (Neurocomputing, 2015)

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. - Sangho Suh; Jaegul Choo; Joonseok Lee; Chandan K. Reddy (ICDM, 2016)

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. - Minjeong Kim; Minsuk Choi; Sunwoong Lee; Jian Tang 005; Haesun Park; Jaegul Choo (CoRR, 2016)

Personas in online health communities. - Jina Huh; Bum Chul Kwon; Sung-Hee Kim; Sukwon Lee; Jaegul Choo; Jihoon Kim 001; Minje Choi; Ji Soo Yi (J. Biomed. Informatics, 2016)

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction. - Hannah Kim 001; Jaegul Choo; Haesun Park; Alex Endert (IEEE Trans. Vis. Comput. Graph., 2016)

VisOHC: Designing Visual Analytics for Online Health Communities. - Bum Chul Kwon; Sung-Hee Kim; Sukwon Lee; Jaegul Choo; Jina Huh; Ji Soo Yi (IEEE Trans. Vis. Comput. Graph., 2016)

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. - Hannah Kim 001; Jaegul Choo; Changhyun Lee; Hanseung Lee; Chandan K. Reddy; Haesun Park (AAAI, 2017)

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. - Dear Sungbok Shin; Minsuk Choi; Jinho Choi 005; Scott Langevin; Christopher Bethune; Philippe Horne; Nathan Kronenfeld; Ramakrishnan Kannan; Barry L. Drake; Haesun Park; Jaegul Choo (ICDM, 2017)

End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. - Minje Choi; Sehun Jeong; Hakjoo Oh; Jaegul Choo (IJCAI, 2017)

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. - Sangho Suh; Jaegul Choo; Joonseok Lee; Chandan K. Reddy (IJCAI, 2017)

Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum. - Young Bin Kim; Kyeongpil Kang; Jaegul Choo; Shin-Jin Kang; TaeHyeong Kim; Jaeho Im; Jong-Hyun Kim; Chang-Hun Kim (Complex., 2017)

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. - Noseong Park; Ankesh Anand; Joel Ruben Antony Moniz; Kookjin Lee; Tanmoy Chakraborty 002; Jaegul Choo; Hongkyu Park; Youngmin Kim (CoRR, 2017)

TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections. - Minjeong Kim; Kyeongpil Kang; Deokgun Park 001; Jaegul Choo; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 2017)

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. - Bum Chul Kwon; Hannah Kim 001; Emily Wall 001; Jaegul Choo; Haesun Park; Alex Endert (IEEE Trans. Vis. Comput. Graph., 2017)

Intelligent Fault Detection via Dilated Convolutional Neural Networks. - Mohammad Azam Khan; Yong-Hwa Kim; Jaegul Choo (BigComp, 2018)

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. - Minsuk Choi; Dear Sungbok Shin; Jinho Choi 005; Scott Langevin; Christopher Bethune; Philippe Horne; Nathan Kronenfeld; Ramakrishnan Kannan; Barry L. Drake; Haesun Park; Jaegul Choo (CHI, 2018)

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. - Yunjey Choi; Minje Choi; Munyoung Kim; Jung-Woo Ha 001; Sunghun Kim 001; Jaegul Choo (CVPR, 2018)

Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. - Hyojin Bahng; Seungjoo Yoo; Wonwoong Cho; David Keetae Park; Ziming Wu; Xiaojuan Ma; Jaegul Choo (ECCV (12), 2018)

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. - Seohyun Back; Seunghak Yu; Sathish Reddy Indurthi; Jihie Kim; Jaegul Choo (EMNLP, 2018)

MMGAN: Manifold-Matching Generative Adversarial Networks. - Noseong Park; Ankesh Anand; Joel Ruben Antony Moniz; Kookjin Lee; Jaegul Choo; David Keetae Park; Tanmoy Chakraborty 002; Hongkyu Park; Youngmin Kim (ICPR, 2018)

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. - David Keetae Park; Seungjoo Yoo; Hyojin Bahng; Jaegul Choo; Noseong Park (IJCAI, 2018)

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. - Tian Shi; Kyeongpil Kang; Jaegul Choo; Chandan K. Reddy (WWW, 2018)

Visual Analytics for Explainable Deep Learning. - Jaegul Choo; Shixia Liu (IEEE Computer Graphics and Applications, 2018)

PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. - Minjeong Kim; Minsuk Choi; Sunwoong Lee; Jian Tang 005; Haesun Park; Jaegul Choo (Comput. Graph. Forum, 2018)

Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation. - Wonwoong Cho; Hyojin Bahng; David Keetae Park; Seungjoo Yoo; Ziming Wu; Xiaojuan Ma; Jaegul Choo (CoRR, 2018)

Question-Aware Sentence Gating Networks for Question and Answering. - Minjeong Kim; David Keetae Park; Hyungjong Noh; Yeonsoo Lee; Jaegul Choo (CoRR, 2018)

Interpreting Models by Allowing to Ask. - Sungmin Kang; David Keetae Park; Jaehyuk Chang; Jaegul Choo (CoRR, 2018)

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. - Sangho Suh; Sungbok Shin; Joonseok Lee; Chandan K. Reddy; Jaegul Choo (Knowl. Inf. Syst., 2018)

VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. - Jaegul Choo; Hannah Kim 001; Edward Clarkson; Zhicheng Liu 001; Changhyun Lee; Fuxin Li; Hanseung Lee; Ramakrishnan Kannan; Charles D. Stolper; John T. Stasko; Haesun Park (ACM Trans. Knowl. Discov. Data, 2018)

ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding. - Deokgun Park 001; Seungyeon Kim; Jurim Lee; Jaegul Choo; Nicholas Diakopoulos; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 2018)

Guidance in the human-machine analytics process. - Christopher Collins 001; Natalia V. Andrienko; Tobias Schreck; Jing Yang 001; Jaegul Choo; Ulrich Engelke; Amit Jena; Tim Dwyer (Vis. Informatics, 2018)

Paraphrase Diversification Using Counterfactual Debiasing. - Sunghyun Park 005; Seung-won Hwang; Fuxiang Chen; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001; Jinyeong Yim (AAAI, 2019)

Learning to Focus and Track Extreme Climate Events. - Sookyung Kim; Sunghyun Park 005; Sunghyo Chung; Joonseok Lee; Yunsung Lee; Hyojin Kim 001; Prabhat; Jaegul Choo (BMVC, 2019)

AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks. - Minsuk Choi; Cheonbok Park; Soyoung Yang; Yonggyu Kim; Jaegul Choo; Sungsoo Ray Hong (CHI, 2019)

Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. - Kyeongpil Kang; Junwoo Park; Wooyoung Kim; Hojung Choe; Jaegul Choo (CIKM, 2019)

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. - Wonwoong Cho; Sungha Choi; David Keetae Park; Inkyu Shin; Jaegul Choo (CVPR, 2019)

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. - Seungjoo Yoo; Hyojin Bahng; Sunghyo Chung; Junsoo Lee; Jaehyuk Chang; Jaegul Choo (CVPR, 2019)

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. - Fuxiang Chen; Seung-won Hwang; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001 (EMNLP/IJCNLP (1), 2019)

A Comparison of the Effects of Data Imputation Methods on Model Performance. - Wooyoung Kim; Wonwoong Cho; Jangho Choi; Jiyong Kim; Cheonbok Park; Jaegul Choo (ICACT, 2019)

SANVis: Visual Analytics for Understanding Self-Attention Networks. - Cheonbok Park; Jaegul Choo; Inyoup Na; Yongjang Jo; Sungbok Shin; Jaehyo Yoo; Bum Chul Kwon; Jian Zhao 010; Hyungjong Noh; Yeonsoo Lee (IEEE VIS (Short Papers), 2019)

Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization. - Jinho Choi 005; Sanghun Jung; Deok Gun Park 001; Jaegul Choo; Niklas Elmqvist (Comput. Graph. Forum, 2019)

MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation. - Sanghyeon Na; Seungjoo Yoo; Jaegul Choo (CoRR, 2019)

What and Where to Translate: Local Mask-based Image-to-Image Translation. - Wonwoong Cho; Seunghwan Choi; Junwoo Park; David Keetae Park; Tao Qin; Jaegul Choo (CoRR, 2019)

STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. - Cheonbok Park; Chunggi Lee; Hyojin Bahng; Taeyun won; Kihwan Kim; Seungmin Jin; Sungahn Ko; Jaegul Choo (CoRR, 2019)

Unpaired Image Translation via Adaptive Convolution-based Normalization. - Wonwoong Cho; Kangyeol Kim; Eungyeup Kim; Hyunwoo J. Kim; Jaegul Choo (CoRR, 2019)

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. - Bum Chul Kwon; Minje Choi; Joanne Taery Kim; Edward Choi; Young Bin Kim; Soonwook Kwon; Jimeng Sun 001; Jaegul Choo (IEEE Trans. Vis. Comput. Graph., 2019)

Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss. - Sanghyeon Na; Seungjoo Yoo; Jaegul Choo (BMVC, 2020)

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. - Cheonbok Park; Chunggi Lee; Hyojin Bahng; Yunwon Tae; Seungmin Jin; Kihwan Kim; Sungahn Ko; Jaegul Choo (CIKM, 2020)

Exploring Unlabeled Faces for Novel Attribute Discovery. - Hyojin Bahng; Sunghyo Chung; Seungjoo Yoo; Jaegul Choo (CVPR, 2020)

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. - Sungha Choi; Joanne Taery Kim; Jaegul Choo (CVPR, 2020)

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. - Junsoo Lee; Eungyeup Kim; Yunsung Lee; Dongjun Kim; Jaehyuk Chang; Jaegul Choo (CVPR, 2020)

Data analysis and processing for spatio-temporal forecasting. - Hyoungwoo Lee; Jaegul Choo (ICDM (Workshops), 2020)

NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension. - Seohyun Back; Sai Chetan Chinthakindi; Akhil Kedia; Haejun Lee; Jaegul Choo (ICLR, 2020)

Learning De-biased Representations with Biased Representations. - Hyojin Bahng; Sanghyuk Chun; Sangdoo Yun; Jaegul Choo; Seong Joon Oh (ICML, 2020)

Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder. - Geunbae Lee; Myungkyo Jung; Myoungwoo Song; Jaegul Choo (ICPHM, 2020)

End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data. - Jinhee Kim; Taesung Kim; Jang-Ho Choi; Jaegul Choo (ICPR, 2020)

Towards Lightweight Lane Detection by Optimizing Spatial Embedding. - Seokwoo Jung; Sungha Choi; Mohammad Azam Khan; Jaegul Choo (CoRR, 2020)

Neural Ordinary Differential Equations for Intervention Modeling. - Daehoon Gwak; Gyuhyeon Sim; Michael Poli; Stefano Massaroli; Jaegul Choo; Edward Choi (CoRR, 2020)

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. - Yunwon Tae; Cheonbok Park; Taehee Kim; Soyoung Yang; Mohammad Azam Khan; Eunjeong Park; Tao Qin; Jaegul Choo (CoRR, 2020)

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. - Jeonghoon Park; Kyungmin Jo; Daehoon Gwak; Jimin Hong; Jaegul Choo; Edward Choi (CoRR, 2020)

Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks. - Mohammad Azam Khan; Soonwook Kwon; Jaegul Choo; Seok Min Hong; Sung Hun Kang; Il-Ho Park; Sung Kyun Kim; Seok Jin Hong (Neural Networks, 2020)

Intelligent fault detection using raw vibration signals via dilated convolutional neural networks. - Mohammad Azam Khan; Yong-Hwa Kim; Jaegul Choo (J. Supercomput., 2020)

Probabilistic Topic Modeling for Comparative Analysis of Document Collections. - Ting Hua; Chang-Tien Lu; Jaegul Choo; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. - Sunghyun Park 005; Kangyeol Kim; Junsoo Lee; Jaegul Choo; Joonseok Lee; Sookyung Kim; Edward Choi (AAAI, 2021)

Learning to Generate Questions by Learning to Recover Answer-containing Sentences. - Seohyun Back; Akhil Kedia; Sai Chetan Chinthakindi; Haejun Lee; Jaegul Choo (ACL/IJCNLP (Findings), 2021)

Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. - Nyoungwoo Lee; Suwon Shin; Jaegul Choo; Ho-Jin Choi; Sung-Hyon Myaeng (ACL/IJCNLP (2), 2021)

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. - Cheonbok Park; Yunwon Tae; Taehee Kim; Soyoung Yang; Mohammad Azam Khan; Lucy Park; Jaegul Choo (ACL/IJCNLP (1), 2021)

Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space. - Beomsoo Kim; Jang-Ho Choi; Jaegul Choo (ACML, 2021)

HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting. - Chaeyeon Chung; Taewoo Kim; Hyelin Nam; Seunghwan Choi; Gyojung Gu; Sunghyun Park 005; Jaegul Choo (BMVC, 2021)

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Joonseok Lee; Sookyung Kim; Jaegul Choo; Edward Choi (BMVC, 2021)

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. - Jungsoo Lee; Jooyeol Yun; Sunghyun Park 005; Yonggyu Kim; Jaegul Choo (BMVC, 2021)

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. - Sungha Choi; Sanghun Jung; Huiwon Yun; Joanne Taery Kim; Seungryong Kim; Jaegul Choo (CVPR, 2021)

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. - Seunghwan Choi; Sunghyun Park 005; Minsoo Lee; Jaegul Choo (CVPR, 2021)

Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. - Daejin Kim; Mohammad Azam Khan; Jaegul Choo (CVPR, 2021)

Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. - Fuxiang Chen; Mijung Kim; Jaegul Choo (EMNLP (Findings), 2021)

AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. - Jimin Hong; Taehee Kim; Hyesu Lim; Jaegul Choo (EMNLP (1), 2021)

Efficient Adversarial Audio Synthesis VIA Progressive Upsampling. - Youngwoo Cho; Minwook Chang; Sanghyeon Lee; Hyoungwoo Lee; Gerard Jounghyun Kim; Jaegul Choo (ICASSP, 2021)

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. - Sanghun Jung; Jungsoo Lee; Daehoon Gwak; Sungha Choi; Jaegul Choo (ICCV, 2021)

BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation. - Eungyeup Kim; Jihyeon Lee; Jaegul Choo (ICCV, 2021)

Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. - Eungyeup Kim; Sanghyeon Lee; Jeonghoon Park; Somi Choi; Choonghyun Seo; Jaegul Choo (ICCV, 2021)

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. - Hyunwook Lee; Cheonbok Park; Seungmin Jin; Hyeshin Chu; Jaegul Choo; Sungahn Ko (ICDE, 2021)

K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification. - Taewoo Kim; Chaeyeon Chung; Sunghyun Park 005; Gyojung Gu; Keonmin Nam; Wonzo Choe; Jaesung Lee; Jaegul Choo (ICIP, 2021)

Knowledge Graph-based Question Answering with Electronic Health Records. - Junwoo Park; Youngwoo Cho; Haneol Lee; Jaegul Choo; Edward Choi (MLHC, 2021)

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. - Kyeongpil Kang; Kyohoon Jin; Soyoung Yang; Soojin Jang; Jaegul Choo; Youngbin Kim (NAACL-HLT, 2021)

Learning Debiased Representation via Disentangled Feature Augmentation. - Jungsoo Lee; Eungyeup Kim; Juyoung Lee; Jihyeon Lee; Jaegul Choo (NeurIPS, 2021)

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks. - Cheonbok Park; Soyoung Yang; Inyoup Na; Sunghyo Chung; Sungbok Shin; Bum Chul Kwon; Deokgun Park 001; Jaegul Choo (EuroVis (Short Papers), 2021)

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. - Kyeongpil Kang; Kyohoon Jin; Soyoung Yang; Sujin Jang; Jaegul Choo; Youngbin Kim (CoRR, 2021)

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. - Hojoon Lee; Dongyoon Hwang; Sunghwan Hong; Changyeon Kim; Seungryong Kim; Jaegul Choo (CoRR, 2021)

Natural Attribute-based Shift Detection. - Jeonghoon Park; Jimin Hong; Radhika Dua; Daehoon Gwak; Yixuan Li 001; Jaegul Choo; Edward Choi (CoRR, 2021)

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (CoRR, 2021)

Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP). - Taewon Kang; Sunghyun Park 005; Seunghwan Choi; Jaegul Choo (CoRR, 2021)

CG-NeRF: Conditional Generative Neural Radiance Fields. - Kyungmin Jo; Gyumin Shim; Sanghun Jung; Soyoung Yang; Jaegul Choo (CoRR, 2021)

Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling. - Chaeyeon Chung; Jungsoo Lee; Kyungmin Park; Junsoo Lee; Minjae Kim; Mookyung Song; Yeonwoo Kim; Jaegul Choo; Sungsoo Ray Hong (Proc. ACM Hum. Comput. Interact., 2021)

HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. - Heungseok Park; Yoonsoo Nam; Jihoon Kim 002; Jaegul Choo (IEEE Trans. Vis. Comput. Graph., 2021)

Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization. - Junwoo Park; Youngwoo Cho; Gyuhyeon Sim; Hojoon Lee; Jaegul Choo (CoG, 2022)

Residual Correction in Real-Time Traffic Forecasting. - Daejin Kim; Youngin Cho; Dongmin Kim; Cheonbok Park; Jaegul Choo (CIKM, 2022)

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. - Taehee Kim; ChaeHun Park; Jimin Hong; Radhika Dua; Edward Choi; Jaegul Choo (COLING, 2022)

Towards Accurate Open-Set Recognition via Background-Class Regularization. - Wonwoo Cho; Jaegul Choo (ECCV (25), 2022)

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. - Taewoo Kim; Chaeyeon Chung; Yoonseo Kim; Sunghyun Park 005; Kangyeol Kim; Jaegul Choo (ECCV (17), 2022)

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (ECCV (8), 2022)

High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. - Sangyun Lee; Gyojung Gu; Sunghyun Park 005; Seunghwan Choi; Jaegul Choo (ECCV (17), 2022)

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. - Hojun Cho; Dohee Kim; Seungwoo Ryu; ChaeHun Park; Hyungjong Noh; Jeong-In Hwang; Minseok Choi; Edward Choi; Jaegul Choo (EMNLP, 2022)

Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. - Nyoungwoo Lee; ChaeHun Park; Ho-Jin Choi; Jaegul Choo (EMNLP, 2022)

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. - Taesung Kim; Jinhee Kim; Yunwon Tae; Cheonbok Park; Jang-Ho Choi; Jaegul Choo (ICLR, 2022)

Morphology-Aware Interactive Keypoint Estimation. - Jinhee Kim; Taesung Kim; Taewoo Kim; Jaegul Choo; Dong-Wook Kim; Byungduk Ahn; In-Seok Song; Yoon-Ji Kim (MICCAI (3), 2022)

ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction. - Gyumin Shim; Minsoo Lee; Jaegul Choo (ACM Multimedia, 2022)

Mining Multi-Label Samples from Single Positive Labels. - Youngin Cho; Daejin Kim; Mohammad Azam Khan; Jaegul Choo (NeurIPS, 2022)

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting. - Youngin Cho; Daejin Kim; Dongmin Kim; Mohammad Azam Khan; Jaegul Choo (NeurIPS, 2022)

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. - Rodrigo Hormazabal; Changyoung Park; Soonyoung Lee; Sehui Han; Yeonsik Jo; Jaewan Lee; Ahra Jo; Seung Hwan Kim; Jaegul Choo; Moontae Lee; Honglak Lee (NeurIPS, 2022)

PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. - Chung Park; Junui Hong; Cheonbok Park; Taesan Kim; Minsung Choi; Jaegul Choo (PAKDD (1), 2022)

Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. - Hojoon Lee; Dongyoon Hwang; Kyushik Min; Jaegul Choo (SIGIR, 2022)

DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. - Bum Chul Kwon; Jungsoo Lee; Chaeyeon Chung; Nyoungwoo Lee; Ho-Jin Choi; Jaegul Choo (EuroVis (Short Papers), 2022)

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. - Hojoon Lee; Dongyoon Hwang; Hyunseung Kim; Byungkun Lee; Jaegul Choo (WWW, 2022)

3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations. - Minsoo Lee; Chaeyeon Chung; Hojun Cho; Min-Jung Kim 001; Sanghun Jung; Jaegul Choo; Minhyuk Sung (CoRR, 2022)

BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. - Jungsoo Lee; Jeonghoon Park; Daeyoung Kim; Juyoung Lee; Edward Choi; Jaegul Choo (CoRR, 2022)

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. - Sanghun Jung; Jungsoo Lee; Nanhee Kim; Jaegul Choo (CoRR, 2022)

DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification. - Jungsoo Lee; Juyoung Lee; Sanghun Jung; Jaegul Choo (CoRR, 2022)

iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer. - Sanghyeon Lee; Jooyeol Yun; Minho Park 003; Jaegul Choo (CoRR, 2022)

Revisiting the Importance of Amplifying Bias for Debiasing. - Jungsoo Lee; Jeonghoon Park; Daeyoung Kim; Juyoung Lee; Edward Choi; Jaegul Choo (AAAI, 2023)

Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. - Yujin Baek; Koanho Lee; Dayeon Ki; Cheonbok Park; Hyoung-Gyu Lee; Jaegul Choo (ACL (Findings), 2023)

DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. - ChaeHun Park; Seungil Chad Lee; Daniel Rim; Jaegul Choo (ACL (Findings), 2023)

HistRED: A Historical Document-Level Relation Extraction Dataset. - Soyoung Yang; Minseok Choi; Youngwoo Cho; Jaegul Choo (ACL (1), 2023)

ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. - Hojoon Lee; Hawon Jeong; Byungkun Lee; Kyungyup Daniel Lee; Jaegul Choo (CIKM, 2023)

Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. - Chung Park; Taesan Kim; Taekyoon Choi; Junui Hong; Yelim Yu; Mincheol Cho; Kyunam Lee; Sungil Ryu; Hyungjun Yoon; Minsung Choi; Jaegul Choo (CIKM, 2023)

Local 3D Editing via 3D Distillation of CLIP Knowledge. - Junha Hyung; Sungwon Hwang; Daejin Kim; Hyunji Lee; Jaegul Choo (CVPR, 2023)

PePe: Personalized Post-editing Model utilizing User-generated Post-edits. - Jihyeon Lee; Taehee Kim; Yunwon Tae; Cheonbok Park; Jaegul Choo (EACL (Findings), 2023)

SimCKP: Simple Contrastive Learning of Keyphrase Representations. - Minseok Choi; Chaeheon Gwak; Seho Kim; Si Hyeong Kim; Jaegul Choo (EMNLP (Findings), 2023)

Towards Formality-Aware Neural Machine Translation by Leveraging Context Information. - Dohee Kim; Yujin Baek; Soyoung Yang; Jaegul Choo (EMNLP (Findings), 2023)

AniEE: A Dataset of Animal Experimental Literature for Event Extraction. - Dohee Kim; Ra Yoo; Soyoung Yang; Hee Yang; Jaegul Choo (EMNLP (Findings), 2023)

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning. - Chung Park; Taekyoon Choi; Taesan Kim; Mincheol Cho; Junui Hong; Minsung Choi; Jaegul Choo (SIGSPATIAL/GIS, 2023)

Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. - Daeun Kyung; Kyungmin Jo; Jaegul Choo; Joonseok Lee; Edward Choi (ICASSP, 2023)

Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction. - Chaeyeon Chung; Yeojeong Park; Seunghwan Choi; Munkhsoyol Ganbat; Jaegul Choo (ICCV, 2023)

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. - Sungwon Hwang; Junha Hyung; Daejin Kim; Min-Jung Kim 001; Jaegul Choo (ICCV, 2023)

3D-Aware Generative Model for Improved Side-View Image Synthesis. - Kyungmin Jo; Wonjoon Jin; Jaegul Choo; Hyunjoon Lee; Sunghyun Cho (ICCV, 2023)

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. - Sanghun Jung; Jungsoo Lee; Nanhee Kim; Amirreza Shaban; Byron Boots; Jaegul Choo (ICCV, 2023)

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. - Jungsoo Lee; Debasmit Das; Jaegul Choo; Sungha Choi (ICCV, 2023)

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. - Minho Park 003; Jooyeol Yun; Seunghwan Choi; Jaegul Choo (ICCV, 2023)

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. - Sunghyun Park 005; Seunghan Yang; Jaegul Choo; Sungrack Yun (ICCV, 2023)

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. - Hyesu Lim; Byeonggeun Kim; Jaegul Choo; Sungha Choi (ICLR, 2023)

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning. - Hojoon Lee; Koanho Lee; Dongyoon Hwang; Hyunho Lee; Byungkun Lee; Jaegul Choo (ICML, 2023)

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. - Minseok Choi; Hyesu Lim; Jaegul Choo (IJCNLP (Findings), 2023)

Learning to Diversify Neural Text Generation via Degenerative Model. - Jimin Hong; ChaeHun Park; Jaegul Choo (IJCNLP (Findings), 2023)

Learning to Discover Skills through Guidance. - Hyunseung Kim; Byungkun Lee; Hojoon Lee; Dongyoon Hwang; Sejik Park; Kyushik Min; Jaegul Choo (NeurIPS, 2023)

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. - Hojoon Lee; Hanseul Cho 002; Hyunseung Kim; Daehoon Gwak; Joonkee Kim; Jaegul Choo; Se-Young Yun; Chulhee Yun (NeurIPS, 2023)

Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. - Chung Park; Taesan Kim; Junui Hong; Minsung Choi; Jaegul Choo (ECML/PKDD (7), 2023)

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. - Junwoo Park; Jungsoo Lee; Youngin Cho; Woncheol Shin; Dongmin Kim; Jaegul Choo; Edward Choi (ECML/PKDD (5), 2023)

Towards Physically Reliable Molecular Representation Learning. - Seunghoon Yi; Youngwoo Cho; Jinhwan Sul; Seung Woo Ko 002; Soo Kyung Kim; Jaegul Choo; Hongkee Yoon; Joonseok Lee (UAI, 2023)

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization. - Youngin Cho; Junsoo Lee; Soyoung Yang; Juntae Kim; Yeojeong Park; Haneol Lee; Mohammad Azam Khan; Daesik Kim; Jaegul Choo (WACV, 2023)

Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation. - Wonwoo Cho; Jeonghoon Park; Jaegul Choo (WACV, 2023)

CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis. - Kyungmin Jo; Gyumin Shim; Sanghun Jung; Soyoung Yang; Jaegul Choo (WACV, 2023)

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer. - Jooyeol Yun; Sanghyeon Lee; Minho Park 003; Jaegul Choo (WACV, 2023)

RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage. - Jaeseong Lee; Taewoo Kim; Sunghyun Park 005; Younggun Lee; Jaegul Choo (CoRR, 2023)

Improving Scene Text Recognition for Character-Level Long-Tailed Distribution. - Sunghyun Park 005; Sunghyo Chung; Jungsoo Lee; Jaegul Choo (CoRR, 2023)

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Jaegul Choo (CoRR, 2023)

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. - Hojoon Lee; Hanseul Cho 002; Hyunseung Kim; Daehoon Gwak; Joonkee Kim; Jaegul Choo; Se-Young Yun; Chulhee Yun (CoRR, 2023)

PixelHuman: Animatable Neural Radiance Fields from Few Images. - Gyumin Shim; Jaeseong Lee; Junha Hyung; Jaegul Choo (CoRR, 2023)

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model. - Sungwon Hwang; Junha Hyung; Jaegul Choo (CoRR, 2023)

SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis. - Kyungmin Jo; Wonjoon Jin; Jaegul Choo; Hyunjoon Lee; Sunghyun Cho (CoRR, 2023)

HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models. - Heungseok Park; Aeree Cho; Hyojun Jeon; Hayoung Lee; Youngil Yang; Sungjae Lee; Heungsub Lee; Jaegul Choo (CoRR, 2023)

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. - Jeongho Kim 007; Gyojung Gu; Minho Park 003; Sunghyun Park 005; Jaegul Choo (CoRR, 2023)

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. - Seungmin Jin; Hyunwook Lee; Cheonbok Park; Hyeshin Chu; Yunwon Tae; Jaegul Choo; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2023)

Spelling Errors in Korean Students' Constructed Responses and the Efficacy of Automatic Spelling Correction on Automated Computer Scoring. - Hyeonju Lee; Minsu Ha; Jurim Lee; Rahmi Qurota Aini; Ai Nurlaelasari Rusmana; Yustika Sya'bandari; Jun Ki Lee; Sein Shin; Gyeong-Geon Lee; Jaegul Choo; Sungchul Choi; Namhyoung Kim; et al. (Technol. Knowl. Learn., 2023)

Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023. - Jaegul Choo; Timo Ropinski; Yifan Hu 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe2 Monolayer. - Jaekak Yoo; Youngwoo Cho; Byeonggeun Jeong; Soo Ho Choi; Ki Kang Kim; Seong Chu Lim; Seung Mi Lee; Jaegul Choo; Mun Seok Jeong (Adv. Intell. Syst., 2023)

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. - Dongmin Choi; Wonwoo Cho; Kangyeol Kim; Jaegul Choo (AAAI, 2024)

MagiCapture: High-Resolution Multi-Concept Portrait Customization. - Junha Hyung; Jaeyo Shin; Jaegul Choo (AAAI, 2024)

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. - Dongmin Kim; Sunghyun Park 005; Jaegul Choo (AAAI, 2024)

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. - Dohyun Lee 001; Daniel Rim; Minseok Choi; Jaegul Choo (ACL (Findings), 2024)

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering. - ChaeHun Park; Koanho Lee; Hyesu Lim; Jaeseok Kim; Junmo Park; Yu-Jung Heo; Du-Seong Chang; Jaegul Choo (ACL (Findings), 2024)

Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. - Jeongho Kim 007; Gyojung Gu; Minho Park 003; Sunghyun Park 005; Jaegul Choo (CVPR, 2024)

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. - Jeonghoon Park; Chaeyeon Chung; Jaegul Choo (CVPR, 2024)

VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors. - Sungwon Hwang; Min-Jung Kim 001; Taewoong Kang; Jayeon Kang; Jaegul Choo (ECCV (55), 2024)

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision. - Jinhee Kim; Taesung Kim; Jaegul Choo (ECCV (87), 2024)

TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models. - Jeongho Kim 007; Min-Jung Kim 001; Junsoo Lee; Jaegul Choo (ECCV (59), 2024)

SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder. - Jaeseong Lee; Junha Hyung; Sohyun Jung; Jaegul Choo (ECCV (55), 2024)

Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data. - Junha Song; Tae Soo Kim 004; Junha Kim; Gunhee Nam; Thijs Kooi; Jaegul Choo (ECCV (25), 2024)

Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization. - Jooyeol Yun; Jaegul Choo (ECCV (40), 2024)

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. - Minseok Choi; Kyunghyun Min; Jaegul Choo (EMNLP (Findings), 2024)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. - Daehoon Gwak; Junwoo Park; Minho Park 003; ChaeHun Park; Hyunchan Lee; Edward Choi; Jaegul Choo (EMNLP (Findings), 2024)

Expression Domain Translation Network for Cross-Domain Head Reenactment. - Taewoong Kang; Jeongsik Oh; Jaeseong Lee; Sunghyun Park 005; Jaegul Choo (ICASSP, 2024)

Self-Supervised Contrastive Learning for Long-term Forecasting. - Junwoo Park; Daehoon Gwak; Jaegul Choo; Edward Choi (ICLR, 2024)

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. - Dongyoon Hwang; Byungkun Lee; Hojoon Lee; Hyunseung Kim; Jaegul Choo (ICML, 2024)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. - Donghu Kim; Hojoon Lee; Kyungmin Lee; Dongyoon Hwang; Jaegul Choo (ICML, 2024)

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks. - Hojoon Lee; Hyeonseo Cho; Hyunseung Kim; Donghu Kim; Dugki Min; Jaegul Choo; Clare Lyle (ICML, 2024)

Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning. - Wonwoo Cho; Kangyeol Kim; Saemee Choi; Jaegul Choo (ACM Multimedia, 2024)

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. - Junha Hyung; Susung Hong; Sungwon Hwang; Jaeseong Lee; Jaegul Choo; Jin-Hwa Kim (NeurIPS, 2024)

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models. - Jinhee Kim; Taesung Kim; Jaegul Choo (NeurIPS, 2024)

Do's and Don'ts: Learning Desirable Skills with Instruction Videos. - Hyunseung Kim; Byungkun Lee; Hojoon Lee; Dongyoon Hwang; Donghu Kim; Jaegul Choo (NeurIPS, 2024)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Hyesu Lim; Mijoo Kim; Dongyoon Han; Sangdoo Yun; Jaegul Choo; Alexander Hauptmann 001; Zhi-Qi Cheng; Kyungwoo Song (NeurIPS, 2024)

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. - Chung Park; Taesan Kim; Hyungjun Yoon; Junui Hong; Yelim Yu; Mincheol Cho; Minsung Choi; Jaegul Choo (SIGIR, 2024)

LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model. - Min-Jung Kim 001; Gyojung Gu; Jaegul Choo (WACV, 2024)

Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images. - Wonwoo Cho; Dongmin Choi; Hyesu Lim; Jinho Choi 005; Saemee Choi; Hyunseok Min; Sungbin Lim; Jaegul Choo (WACV, 2024)

Self-Supervised Contrastive Forecasting. - Junwoo Park; Daehoon Gwak; Jaegul Choo; Edward Choi (CoRR, 2024)

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder. - Jaeseong Lee; Junha Hyung; Sohyun Jeong 001; Jaegul Choo (CoRR, 2024)

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. - ChaeHun Park; Minseok Choi; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models. - Jinhee Kim; Taesung Kim; Jaegul Choo (CoRR, 2024)

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. - Jeonghoon Park; Chaeyeon Chung; Juyoung Lee; Jaegul Choo (CoRR, 2024)

Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models. - Minho Park 003; Sunghyun Park 005; Jooyeol Yun; Jaegul Choo (CoRR, 2024)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions? - Seungbin Yang; ChaeHun Park; Taehee Kim; Jaegul Choo (CoRR, 2024)

PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments. - Hawon Jeong; ChaeHun Park; Jimin Hong; Jaegul Choo (CoRR, 2024)

SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions. - Minseok Choi; Daniel Rim; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Scaling Up Personalized Aesthetic Assessment via Task Vector Customization. - Jooyeol Yun; Jaegul Choo (CoRR, 2024)

Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. - Kangyeol Kim; Wooseok Seo; Sehyun Nam; Bodam Kim; Suhyeon Jeong; Wonwoo Cho; Jaegul Choo; Youngjae Yu (CoRR, 2024)

Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation. - Soyoung Yang; Hojun Cho; Jiyoung Lee; Sohee Yoon; Edward Choi; Jaegul Choo; Won Ik Cho (CoRR, 2024)

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning. - Minseok Choi; ChaeHun Park; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Generative Location Modeling for Spatially Aware Object Insertion. - Jooyeol Yun; Davide Abati; Mohamed Omran; Jaegul Choo; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2024)

Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts. - ChaeHun Park; Hojun Cho; Jaegul Choo (CoRR, 2024)

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask. - Jeongho Kim 007; Hoiyeong Jin; Sunghyun Park 005; Jaegul Choo (CoRR, 2024)

See, caption, cluster: Large-scale image analysis using captioning and topic modeling. - Kyeongpil Kang; Kyohoon Jin; Soojin Jang; Jaegul Choo; Youngbin Kim (Expert Syst. Appl., 2024)

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. - Chaeyeon Chung; Sunghyun Park 005; Jeongho Kim 007; Jaegul Choo (AAAI, 2025)

Enabling Region-Specific Control via Lassos in Point-Based Colorization. - Sanghyeon Lee; Jooyeol Yun; Jaegul Choo (AAAI, 2025)

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport. - Minseok Choi; Daniel Rim; Dohyun Lee 001; Jaegul Choo (ACL (1), 2025)

Exploring In-context Example Generation for Machine Translation. - Dohyun Lee 001; Seungil Chad Lee; Chanwoo Yang; Yujin Baek; Jaegul Choo (ACL (Findings), 2025)

Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration. - ChaeHun Park; Yujin Baek; Jaeseok Kim; Yu-Jung Heo; Du-Seong Chang; Jaegul Choo (ACL (1), 2025)

ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design. - Hui-Jun Kim; Jeongho Kim 007; Sohyun Jeong 001; Minbong Lee; Jaegul Choo; Sung-Hee Kim (CHI Extended Abstracts, 2025)

Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling. - Junha Hyung; Kinam Kim; Susung Hong; Min-Jung Kim 001; Jaegul Choo (CVPR, 2025)

Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention. - Kyungmin Jo; Jooyeol Yun; Jaegul Choo (CVPR, 2025)

Zero-Shot Head Swapping in Real-World Scenarios. - Taewoong Kang; Sohyun Jeong 001; Hyojin Jang; Jaegul Choo (CVPR, 2025)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. - Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone 001; Takuma Seno (ICLR, 2025)

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars. - Jaeseong Lee; Taewoong Kang; Marcel C. Bühler; Min-Jung Kim 001; Sungwon Hwang; Junha Hyung; Hyojin Jang; Jaegul Choo (ICLR, 2025)

Sparse autoencoders reveal selective remapping of visual concepts during adaptation. - Hyesu Lim; Jinho Choi 005; Jaegul Choo; Steffen Schneider 004 (ICLR, 2025)

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation. - Soyoung Yang; Hojun Cho; Jiyoung Lee; Sohee Yoon; Edward Choi; Jaegul Choo; Won Ik Cho (NAACL (Long Papers), 2025)

Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation. - Seunghwan Choi; Jooyeol Yun; Jeonghoon Park; Jaegul Choo (WACV, 2025)

Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. - Kyungmin Jo; Jaegul Choo (WACV, 2025)

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment. - Jinhee Kim; Taesung Kim; Taewoo Kim; Dong-Wook Kim; Byungduk Ahn; Yoon-Ji Kim; In-Seok Song; Jaegul Choo (Medical Image Anal., 2025)

GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text. - Gyumin Shim; Sangmin Lee; Jaegul Choo (CoRR, 2025)

Hyperspherical Normalization for Scalable Deep Reinforcement Learning. - Hojoon Lee; Youngdo Lee; Takuma Seno; Donghu Kim; Peter Stone 001; Jaegul Choo (CoRR, 2025)

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information. - Hojun Cho; Donghu Kim; Soyoung Yang; Chan Lee; Hunjoo Lee; Jaegul Choo (CoRR, 2025)

Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation. - Minho Park 003; Sunghyun Park 005; Jungsoo Lee; Hyojin Park 004; Kyuwoong Hwang; Fatih Porikli; Jaegul Choo; Sungha Choi (CoRR, 2025)

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation. - Minho Park 003; Taewoong Kang; Jooyeol Yun; Sungwon Hwang; Jaegul Choo (CoRR, 2025)

Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data. - Sungbok Shin; Sunghyo Chung; Hyeon Jeon; Hyunwook Lee; Minje Choi; Taehun Kim; Jaehoon Choi; Sungahn Ko; Jaegul Choo (CoRR, 2025)

Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing. - Kyudan Jung; Hojun Cho; Jooyeol Yun; Soyoung Yang; Jaehyeok Jang; Jaegul Choo (CoRR, 2025)

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models. - Junwoo Park; Hyuck Lee; Dohyun Lee 001; Daehoon Gwak; Jaegul Choo (CoRR, 2025)

Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models. - Kinam Kim; Junha Hyung; Jaegul Choo (CoRR, 2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models. - Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo; Kang Min Yoo (CoRR, 2025)

TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation. - Min-Jung Kim 001; Dongjin Kim; Seokju Yun; Jaegul Choo (CoRR, 2025)

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models. - Sungwon Hwang; Hyojin Jang; Kinam Kim; Minho Park 003; Jaegul Choo (CoRR, 2025)

Good Noise Makes Good Edits: A Training-Free Diffusion-Based Video Editing with Image and Text Prompts. - Saemee Choi; Sohyun Jeong 001; Jaegul Choo; Jinhee Kim (CoRR, 2025)

Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention. - Jeonghoon Park; Juyoung Lee; Chaeyeon Chung; Jaeseong Lee; Jaegul Choo; Jindong Gu (CoRR, 2025)

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess. - Dongyoon Hwang; Hojoon Lee; Jaegul Choo; Dongmin Park; Jongho Park (CoRR, 2025)

From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation. - Jeongho Kim 007; Sunghyun Park 005; Hyoungwoo Park; Sungrack Yun; Jaegul Choo; Seokeon Choi (CoRR, 2025)

DesignLab: Designing Slides Through Iterative Detection and Correction. - Jooyeol Yun; Heng Wang; Yotaro Shimose; Jaegul Choo; Shingo Takamatsu (CoRR, 2025)