Gyeong-Moon Park

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Cosine Similarity

Adaptive Resonance Theory

Domain Adaptation

Episodic Memory

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
RADIO: Reference-Agnostic Dubbing Video Synthesis. WACV (2024)
Minwoo Jeon, Gyeong-Moon Park, Hyoseok Hwang
Fisheye Object Detection with Visual Prompting-Aided Fine-Tuning. Remote. Sens. 16 (12) (2024)
Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park, Jinwoo Choi
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap. WACV (2024)
Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners. CoRR (2024)
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park
Generative Unlearning for Any Identity. CoRR (2024)
Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park
Open-Set Domain Adaptation for Semantic Segmentation. CoRR (2024)
Ah-Hyung Shin, Jae-Ho Lee, Jiwon Hwang, Yoonhyung Kim, Gyeong-Moon Park
Wav2NeRF: Audio-driven realistic talking head generation via wavelet-based NeRF. Image Vis. Comput. 148 (2024)
Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. ICCV (2023)
Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park, Jinwoo Choi
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap. CoRR (2023)
Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park
Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking. IEEE Access 11 (2023)
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
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR (2023)
Juwon Seo, Ji-Su Kang, Gyeong-Moon Park
LFS-GAN: Lifelong Few-Shot Image Generation. CoRR (2023)
Juwon Seo, Ji-Su Kang, Gyeong-Moon Park
LFS-GAN: Lifelong Few-Shot Image Generation. ICCV (2023)
Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CVPR (2023)
Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CoRR (2023)
Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. CoRR (2023)
Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
RADIO: Reference-Agnostic Dubbing Video Synthesis. CoRR (2023)
Jae-Woo Choi, Gyeong-Moon Park, Jong-Hwan Kim
SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network. IEEE Trans. Cybern. 52 (10) (2022)
Seung Jun Moon, Gyeong-Moon Park
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. ECCV (15) (2022)
Seung Jun Moon, Chaewon Kim, Gyeong-Moon Park
WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details. CoRR (2022)
Gyeong-Moon Park, Jong-Hwan Kim
Adaptive Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Gyeong-Moon Park, Sahng-Min Yoo, Jong-Hwan Kim
Convolutional Neural Network With Developmental Memory for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim
Continual Unsupervised Domain Adaptation with Adversarial Learning. CoRR (2020)
Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim
Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. BMVC (2020)
Joonhyuk Kim, Gyeong-Moon Park, Jong-Hwan Kim
. RiTA (2019)
Gyeong-Moon Park, Jae-Woo Choi, Jong-Hwan Kim
Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots. IEEE Trans. Cybern. 48 (6) (2018)
Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim
Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. IJCNN (2017)
Deok-Hwa Kim, Gyeong-Moon Park, Yong-Ho Yoo, Si-Jung Ryu, In-Bae Jeong, Jong-Hwan Kim
Realization of task intelligence for service robots in an unstructured environment. Annu. Rev. Control. 44 (2017)
In-Bae Jeong, Woo-Ri Ko, Gyeong-Moon Park, Deok-Hwa Kim, Yong-Ho Yoo, Jong-Hwan Kim
Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning. IEEE Trans. Emerg. Top. Comput. Intell. 1 (1) (2017)
Gyeong-Moon Park, Jong-Hwan Kim
Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. IJCNN (2016)
Gyeong-Moon Park, Sanghyun Cho, Jong-Hwan Kim
Biologically-inspired episodic memory model considering the context information. SMC (2016)
Gyeong-Moon Park, Seung-Hwan Baek, Jong-Hwan Kim
Falling Prevention System from External Disturbances for Humanoid Robots. RiTA (2014)