Semi-supervised Training Data Generation for Multilingual Question Answering. - Kyungjae Lee 002; Kyoungho Yoon; Sunghyun Park 005; Seung-won Hwang (LREC, 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)

Learning with Limited Data for Multilingual Reading Comprehension. - Kyungjae Lee 002; Sunghyun Park 005; Hojae Han; Jinyoung Yeo; Seung-won Hwang; Juho Lee (EMNLP/IJCNLP (1), 2019)

Bert is Not All You Need for Commonsense Inference. - Sunghyun Park 005; Junsung Son; Seung-won Hwang; KyungLang Park (ICASSP, 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)

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)

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

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. - Boseop Kim; HyoungSeok Kim; Sang-Woo Lee 001; Gichang Lee; Dong-Hyun Kwak; Dong Hyeon Jeon; Sunghyun Park 005; Sungju Kim; Seonhoon Kim; Dongpil Seo; Heungsub Lee; Minyoung Jeong; et al. (EMNLP (1), 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)

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)

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)

On Complementarity Objectives for Hybrid Retrieval. - Dohyeon Lee; Seung-won Hwang; Kyungjae Lee 002; Seungtaek Choi; Sunghyun Park 005 (ACL (1), 2023)

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

QASA: Advanced Question Answering on Scientific Articles. - Yoonjoo Lee; Kyungjae Lee 002; Sunghyun Park 005; Dasol Hwang; Jaehyeon Kim; Hong-In Lee; Moontae Lee (ICML, 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)

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)

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion. - Hyunseung Lim; Ji Yong Cho; Taewan Kim; Jeongeon Park; Hyungyu Shin; Seulgi Choi; Sunghyun Park 005; Kyungjae Lee 002; Juho Kim 001; Moontae Lee; Hwajung Hong (Conference on Designing Interactive Systems, 2024)

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

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

Enhancing Fusion-in-Decoder for Multi-Granularity Ranking. - Haeju Park; Kyungjae Lee 002; Sunghyun Park 005; Moontae Lee (IR-RAG@SIGIR, 2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. - Kyungjae Lee 002; Dasol Hwang; Sunghyun Park 005; Youngsoo Jang; Moontae Lee (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)

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)

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)

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)

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL. - Hyungjoo Chae; Dongjin Kang; Jihyuk Kim; Beong-woo Kwak; Sunghyun Park 005; Haeju Park; Jinyoung Yeo; Moontae Lee; Kyungjae Lee 002 (CoRR, 2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. - Shubhankar Borse; Seokeon Choi; Sunghyun Park 005; Jeongho Kim 007; Shreya Kadambi; Risheek Garrepalli; Sungrack Yun; Munawar Hayat; Fatih Porikli (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)

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation. - Sunghyun Park 005; Jungsoo Lee; Shubhankar Borse; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CoRR, 2025)

Steering Guidance for Personalized Text-to-Image Diffusion Models. - Sunghyun Park 005; Seokeon Choi; Hyoungwoo Park; Sungrack Yun (CoRR, 2025)