Falling Prevention System from External Disturbances for Humanoid Robots. - Gyeong-Moon Park; Seung-Hwan Baek; Jong-Hwan Kim 001 (RiTA, 2014)

Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. - Gyeong-Moon Park; Jong-Hwan Kim 001 (IJCNN, 2016)

Biologically-inspired episodic memory model considering the context information. - Gyeong-Moon Park; Sanghyun Cho; Jong-Hwan Kim 001 (SMC, 2016)

Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. - Dick Sigmund; Gyeong-Moon Park; Jong-Hwan Kim 001 (IJCNN, 2017)

Realization of task intelligence for service robots in an unstructured environment. - Deok-Hwa Kim; Gyeong-Moon Park; Yong-Ho Yoo; Si-Jung Ryu; In-Bae Jeong; Jong-Hwan Kim 001 (Annu. Rev. Control., 2017)

Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning. - In-Bae Jeong; Woo-Ri Ko; Gyeong-Moon Park; Deok-Hwa Kim; Yong-Ho Yoo; Jong-Hwan Kim 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots. - Gyeong-Moon Park; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim 001 (IEEE Trans. Cybern., 2018)

Multi-channel Classification Resonance Network*. - Joonhyuk Kim; Gyeong-Moon Park; Jong-Hwan Kim 001 (RiTA, 2019)

Developmental Resonance Network. - Gyeong-Moon Park; Jae-Woo Choi; Jong-Hwan Kim 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. - Joonhyuk Kim; Inug Yoon; Gyeong-Moon Park; Jong-Hwan Kim 001 (BMVC, 2020)

Continual Unsupervised Domain Adaptation with Adversarial Learning. - Joonhyuk Kim; Sahng-Min Yoo; Gyeong-Moon Park; Jong-Hwan Kim 001 (CoRR, 2020)

Adaptive Developmental Resonance Network. - Gyeong-Moon Park; Jong-Hwan Kim 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Convolutional Neural Network With Developmental Memory for Continual Learning. - Gyeong-Moon Park; Sahng-Min Yoo; Jong-Hwan Kim 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. - Seung Jun Moon; Gyeong-Moon Park (ECCV (15), 2022)

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. - Seungjun Moon; Gyeong-Moon Park (CoRR, 2022)

WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details. - Seung Jun Moon; Chaewon Kim; Gyeong-Moon Park (CoRR, 2022)

SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network. - Jae-Woo Choi; Gyeong-Moon Park; Jong-Hwan Kim 001 (IEEE Trans. Cybern., 2022)

LINe: Out-of-Distribution Detection by Leveraging Important Neurons. - Yong Hyun Ahn; Gyeong-Moon Park; Seong Tae Kim 001 (CVPR, 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 (ICCV, 2023)

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

Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking. - Ah-Hyung Shin; Seong Tae Kim 001; Gyeong-Moon Park (IEEE Access, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

Open-Set Domain Adaptation for Semantic Segmentation. - Seun-An Choe; Ah-Hyung Shin; Keon-Hee Park; Jinwoo Choi 001; Gyeong-Moon Park (CVPR, 2024)

Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. - Keon-Hee Park; Kyungwoo Song; Gyeong-Moon Park (CVPR, 2024)

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

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. - Jun-Yeong Moon; Jung Uk Kim; Gyeong-Moon Park (ECCV (29), 2024)

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning. - Min-Yeong Park; Jae-Ho Lee; Gyeong-Moon Park (ECCV (31), 2024)

Online Continuous Generalized Category Discovery. - Keon-Hee Park; Hakyung Lee; Kyungwoo Song; Gyeong-Moon Park (ECCV (81), 2024)

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text. - Hakyung Lee; Keon-Hee Park; Hoyoon Byun; Jeyoon Yeom; Jihee Kim; Gyeong-Moon Park; Kyungwoo Song (EMNLP (Findings), 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 001 (WACV, 2024)

RADIO: Reference-Agnostic Dubbing Video Synthesis. - Dongyeun Lee; Chaewon Kim; Sangjoon Yu; Jaejun Yoo 001; Gyeong-Moon Park (WACV, 2024)

Wav2NeRF: Audio-driven realistic talking head generation via wavelet-based NeRF. - Ah-Hyung Shin; Jae-Ho Lee; Jiwon Hwang; Yoonhyung Kim; Gyeong-Moon Park (Image Vis. Comput., 2024)

Fisheye Object Detection with Visual Prompting-Aided Fine-Tuning. - Minwoo Jeon; Gyeong-Moon Park; Hyoseok Hwang (Remote. Sens., 2024)

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

Universal Domain Adaptation for Semantic Segmentation. - Seun-An Choe; Keon-Hee Park; Jinwoo Choi 001; Gyeong-Moon Park (CVPR, 2025)

PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition. - Jongseo Lee; Wooil Lee; Gyeong-Moon Park; Seong Tae Kim 001; Jinwoo Choi 001 (CVPR Workshops, 2025)

ESC: Erasing Space Concept for Knowledge Deletion. - Tae-Young Lee; Sundong Park; Minwoo Jeon; Hyoseok Hwang; 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 (CVPR, 2025)

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

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

When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. - Min-Yeong Park; Won-Jeong Lee; Seong Tae Kim 001; Gyeong-Moon Park (CoRR, 2025)

EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation. - Seungjun Moon; Sangjoon Yu; Gyeong-Moon Park (CoRR, 2025)

SFUOD: Source-Free Unknown Object Detection. - Keon-Hee Park; Seun-An Choe; Gyeong-Moon Park (CoRR, 2025)

GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar. - Seungjun Moon; Hah Min Lew; Seungeun Lee; Ji-Su Kang; Gyeong-Moon Park (CoRR, 2025)

Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech. - Taesoo Kim; Jinju Kim; Dongchan Kim; Jong Hwan Ko; Gyeong-Moon Park (CoRR, 2025)

ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning. - Jongseo Lee; Kyungho Bae; Kyle Min 001; Gyeong-Moon Park; Jinwoo Choi 001 (CoRR, 2025)