Choo, Jaegul

83 publications

NeurIPS 2025 ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts Jinho Choi, Hyesu Lim, Steffen Schneider, Jaegul Choo

NeurIPS 2025 Delving into Large Language Models for Effective Time-Series Anomaly Detection Junwoo Park, Kyudan Jung, Dohyun Lee, Hyuck Lee, Daehoon Gwak, ChaeHun Park, Jaegul Choo, Jaewoong Cho

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

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

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

ICCV 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

ICML 2025 Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo

ICCV 2025 PromptDresser: Improving the Quality and Controllability of Virtual Try-on via Generative Textual Prompt and Prompt-Aware Mask Jeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul Choo

ICLR 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, Takuma Seno

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

ICLR 2025 Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider

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

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

NeurIPS 2025 Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models Kinam Kim, Junha Hyung, Jaegul Choo

AAAI 2025 What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-Based Hairstyle Transfer Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo

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

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

ECCV 2024 Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision 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 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models Jinhee Kim, Taesung Kim, Jaegul Choo

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

CVPR 2024 Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park, Chaeyeon Chung, 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

ECCV 2024 Is User Feedback Always Informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation Without Source Data Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo

WACV 2024 LensNeRF: Rethinking Volume Rendering Based on Thin-Lens Camera Model Min-Jung Kim, Gyojung Gu, Jaegul Choo

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

ECCV 2024 Scaling up Personalized Image Aesthetic Assessment via Task Vector Customization Jooyeol Yun, Jaegul Choo

ICLR 2024 Self-Supervised Contrastive Learning for Long-Term Forecasting Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi

ECCV 2024 SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder Jaeseong Lee, Junha Hyung, Sohyun Jeong, 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, Saemee Choi, Hyun-seok Min, Sungbin Lim, 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

CVPR 2024 StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-on Jeongho Kim, Guojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

ECCV 2024 TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models Jeongho Kim, Min-Jung Kim, Junsoo Lee, 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, Zhi-Qi Cheng, Kyungwoo Song

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

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

AAAI 2024 iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds Dongmin Choi, Wonwoo Cho, Kangyeol Kim, 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

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

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

ICCV 2023 FaceCLIPNeRF: Text-Driven 3D Face Manipulation Using Deformable Neural Radiance Fields Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo

WACV 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

ICCV 2023 Label Shift Adapter for Test-Time Adaptation Under Covariate and Label Shifts Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun

NeurIPS 2023 Learning to Discover Skills Through Guidance Hyunseung Kim, Byung Kun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo

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

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

ICML 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

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

ECML-PKDD 2023 Pre-Training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo

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

ICCV 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

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

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

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

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

ECCV 2022 AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, 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

ECCV 2022 High-Resolution Virtual Try-on with Misalignment and Occlusion-Handled Conditions Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo

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

ICLR 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

ECCV 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, Kangyeol Kim, Jaegul Choo

ECCV 2022 Towards Accurate Open-Set Recognition via Background-Class Regularization Wonwoo Cho, Jaegul Choo

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

ACML 2021 Augmenting Imbalanced Time-Series Data via Adversarial Perturbation in Latent Space Beomsoo Kim, Jang-Ho 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

MLHC 2021 Knowledge Graph-Based Question Answering with Electronic Health Records Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi

NeurIPS 2021 Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon 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 RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne T. Kim, Seungryong Kim, Jaegul Choo

ICCV 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

CVPR 2021 VITON-HD: High-Resolution Virtual Try-on via Misalignment-Aware Normalization Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo

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

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

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

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

ECCV 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

IJCAI 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 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

AAAI 2017 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, Haesun Park