Park, Gyeong-Moon

27 publications

ICCV 2025 ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-Wise Adaptation and Attention Disentanglement Habin Lim, Yeongseob Won, Juwon Seo, Gyeong-Moon Park

NeurIPS 2025 Disentangled Concepts Speak Louder than Words: Explainable Video Action Recognition Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi

ICML 2025 Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech Taesoo Kim, Jinju Kim, Dong Chan Kim, Jong Hwan Ko, Gyeong-Moon Park

CVPR 2025 ESC: Erasing Space Concept for Knowledge Deletion Tae-Young Lee, Sundong Park, Minwoo Jeon, Hyoseok Hwang, Gyeong-Moon Park

ICCV 2025 ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning Jongseo Lee, Kyungho Bae, Kyle Min, Gyeong-Moon Park, Jinwoo Choi

ICCV 2025 GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar SeungJun Moon, Hah Min Lew, Seungeun Lee, Ji-Su Kang, Gyeong-Moon Park

AAAI 2025 Multispectral Pedestrian Detection with Sparsely Annotated Label Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim

CVPRW 2025 PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi

NeurIPS 2025 Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park

ICCV 2025 SFUOD: Source-Free Unknown Object Detection Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park

CVPR 2025 Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko

WACV 2025 Towards High-Fidelity Head Blending with Chroma Keying for Industrial Applications Hah Min Lew, Sahng-Min Yoo, Hyunwoo Kang, Gyeong-Moon Park

CVPR 2025 Universal Domain Adaptation for Semantic Segmentation Seun-An Choe, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park

WACV 2025 WINE : Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement Chaewon Kim, Seung Jun Moon, Gyeong-Moon Park

ICML 2025 When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park

WACV 2024 GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park, Jinwoo Choi

CVPR 2024 Generative Unlearning for Any Identity Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park

ECCV 2024 Online Continuous Generalized Category Discovery Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park

CVPR 2024 Open-Set Domain Adaptation for Semantic Segmentation Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park

CVPR 2024 Pre-Trained Vision and Language Transformers Are Few-Shot Incremental Learners Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park

WACV 2024 RADIO: Reference-Agnostic Dubbing Video Synthesis Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park

ECCV 2024 Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park

ECCV 2024 Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park

ICCV 2023 LFS-GAN: Lifelong Few-Shot Image Generation Juwon Seo, Ji-Su Kang, Gyeong-Moon Park

CVPR 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim

ICCV 2023 Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park

ECCV 2022 IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion Seung-Jun Moon, Gyeong-Moon Park