Gyeong-Moon Park

71 papers A* 12A 5B 3Journal 43Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detecting Unknown Objects via Energy-based Separation for Open World Object Detection. CoRR Jun-Woo Heo, Keonhee Park, Gyeong-Moon Park
2026	J	`jnl`	Edit-As-Act: Goal-Regressive Planning for Open-Vocabulary 3D Indoor Scene Editing. CoRR SeongRae Noh, Seungwon Seo, Gyeong-Moon Park, Hyeongyeop Kang
2026	J	`jnl`	SSMPD: Semi-Supervised Learning for Multispectral Pedestrian Detection. IEEE Trans. Multim. Seungho Shin, Chan Lee, Gyeong-Moon Park, Jung Uk Kim
2026	J	`jnl`	Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation. Medical Image Anal. Hong Joo Lee, Yuan Bi, Sangmin Lee, Gyeong-Moon Park, Jung Uk Kim, Seong Tae Kim, Zhongliang Jiang, Nassir Navab
2025	J	`jnl`	ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement. CoRR Habin Lim, Yeongseob Won, Juwon Seo, Gyeong-Moon Park
2025	J	`jnl`	Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition. CoRR Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025	A*	`conf`	Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech. ICML Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park
2025	J	`jnl`	Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech. CoRR Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park
2025	J	`jnl`	EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation. CoRR Seungjun Moon, Sangjoon Yu, Gyeong-Moon Park
2025	A*	`conf`	ESC: Erasing Space Concept for Knowledge Deletion. CVPR Tae-Young Lee, Sundong Park, Minwoo Jeon, Hyoseok Hwang, Gyeong-Moon Park
2025	J	`jnl`	ESC: Erasing Space Concept for Knowledge Deletion. CoRR Tae-Young Lee, Sundong Park, Minwoo Jeon, Hyoseok Hwang, Gyeong-Moon Park
2025	J	`jnl`	ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning. CoRR Jongseo Lee, Kyungho Bae, Kyle Min, Gyeong-Moon Park, Jinwoo Choi
2025	J	`jnl`	GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar. CoRR Seungjun Moon, Hah Min Lew, Seungeun Lee, Ji-Su Kang, Gyeong-Moon Park
2025	A*	`conf`	Multispectral Pedestrian Detection with Sparsely Annotated Label. AAAI Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim
2025	J	`jnl`	Multispectral Pedestrian Detection with Sparsely Annotated Label. CoRR Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim
2025	—	`conf`	PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition. CVPR Workshops Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025	J	`jnl`	PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition. CoRR Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025	J	`jnl`	Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models. CoRR Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park
2025	J	`jnl`	SFUOD: Source-Free Unknown Object Detection. CoRR Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park
2025	A*	`conf`	Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability. CVPR Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko
2025	A	`conf`	Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications. WACV Hah Min Lew, Sahng-Min Yoo, Hyunwoo Kang, Gyeong-Moon Park
2025	A*	`conf`	Universal Domain Adaptation for Semantic Segmentation. CVPR Seun-An Choe, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park
2025	J	`jnl`	Universal Domain Adaptation for Semantic Segmentation. CoRR Seun-An Choe, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park
2025	A	`conf`	WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement. WACV Chaewon Kim, Seung Jun Moon, Gyeong-Moon Park
2025	A*	`conf`	When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. ICML Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park
2025	J	`jnl`	When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. CoRR Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park
2024	—	`conf`	CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text. EMNLP (Findings) Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song
2024	J	`jnl`	Fisheye Object Detection with Visual Prompting-Aided Fine-Tuning. Remote. Sens. Minwoo Jeon, Gyeong-Moon Park, Hyoseok Hwang
2024	A	`conf`	GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap. WACV Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park, Jinwoo Choi
2024	A*	`conf`	Generative Unlearning for Any Identity. CVPR Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park
2024	J	`jnl`	Generative Unlearning for Any Identity. CoRR Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park
2024	—	`conf`	Online Continuous Generalized Category Discovery. ECCV (81) Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park
2024	J	`jnl`	Online Continuous Generalized Category Discovery. CoRR Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park
2024	A*	`conf`	Open-Set Domain Adaptation for Semantic Segmentation. CVPR Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park
2024	J	`jnl`	Open-Set Domain Adaptation for Semantic Segmentation. CoRR Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park
2024	J	`jnl`	Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners. CoRR Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
2024	A*	`conf`	Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. CVPR Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
2024	A	`conf`	RADIO: Reference-Agnostic Dubbing Video Synthesis. WACV Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
2024	J	`jnl`	Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications. CoRR Hah Min Lew, Sahng-Min Yoo, Hyunwoo Kang, Gyeong-Moon Park
2024	—	`conf`	Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. ECCV (29) Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park
2024	J	`jnl`	Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. CoRR Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park
2024	—	`conf`	Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning. ECCV (31) Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park
2024	J	`jnl`	Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning. CoRR Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park
2024	J	`jnl`	Wav2NeRF: Audio-driven realistic talking head generation via wavelet-based NeRF. Image Vis. Comput. Ah-Hyung Shin, Jae-Ho Lee, Jiwon Hwang, Yoonhyung Kim, Gyeong-Moon Park
2023	J	`jnl`	GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap. CoRR Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park, Jinwoo Choi
2023	A*	`conf`	LFS-GAN: Lifelong Few-Shot Image Generation. ICCV Juwon Seo, Ji-Su Kang, Gyeong-Moon Park
2023	J	`jnl`	LFS-GAN: Lifelong Few-Shot Image Generation. CoRR Juwon Seo, Ji-Su Kang, Gyeong-Moon Park
2023	A*	`conf`	LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CVPR Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
2023	J	`jnl`	LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CoRR Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
2023	J	`jnl`	One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong
2023	A*	`conf`	Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. ICCV Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park
2023	J	`jnl`	Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. CoRR Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park
2023	J	`jnl`	RADIO: Reference-Agnostic Dubbing Video Synthesis. CoRR Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
2023	J	`jnl`	Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking. IEEE Access Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park
2022	—	`conf`	IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. ECCV (15) Seung Jun Moon, Gyeong-Moon Park
2022	J	`jnl`	IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. CoRR Seungjun Moon, Gyeong-Moon Park
2022	J	`jnl`	SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network. IEEE Trans. Cybern. Jae-Woo Choi, Gyeong-Moon Park, Jong-Hwan Kim
2022	J	`jnl`	WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details. CoRR Seung Jun Moon, Chaewon Kim, Gyeong-Moon Park
2021	J	`jnl`	Adaptive Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. Gyeong-Moon Park, Jong-Hwan Kim
2021	J	`jnl`	Convolutional Neural Network With Developmental Memory for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. Gyeong-Moon Park, Sahng-Min Yoo, Jong-Hwan Kim
2020	J	`jnl`	Continual Unsupervised Domain Adaptation with Adversarial Learning. CoRR Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim
2020	A	`conf`	Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. BMVC Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim
2019	J	`jnl`	Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. Gyeong-Moon Park, Jae-Woo Choi, Jong-Hwan Kim
2019	—	`conf`	Multi-channel Classification Resonance Network RiTA Joonhyuk Kim, Gyeong-Moon Park, Jong-Hwan Kim
2018	J	`jnl`	Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots. IEEE Trans. Cybern. Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
2017	B	`conf`	Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. IJCNN Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim
2017	J	`jnl`	Realization of task intelligence for service robots in an unstructured environment. Annu. Rev. Control. Deok-Hwa Kim, Gyeong-Moon Park, Yong-Ho Yoo, Si-Jung Ryu, In-Bae Jeong, Jong-Hwan Kim
2017	J	`jnl`	Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning. IEEE Trans. Emerg. Top. Comput. Intell. In-Bae Jeong, Woo-Ri Ko, Gyeong-Moon Park, Deok-Hwa Kim, Yong-Ho Yoo, Jong-Hwan Kim
2016	B	`conf`	Biologically-inspired episodic memory model considering the context information. SMC Gyeong-Moon Park, Sanghyun Cho, Jong-Hwan Kim
2016	B	`conf`	Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. IJCNN Gyeong-Moon Park, Jong-Hwan Kim
2014	—	`conf`	Falling Prevention System from External Disturbances for Humanoid Robots. RiTA Gyeong-Moon Park, Seung-Hwan Baek, Jong-Hwan Kim