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2020 – today
- 2024
[j10]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: 105104 (2024)- [j9]Minwoo Jeon
, Gyeong-Moon Park, Hyoseok Hwang:
Fisheye Object Detection with Visual Prompting-Aided Fine-Tuning. Remote. Sens. 16(12): 2054 (2024) - [c15]Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park:
Generative Unlearning for Any Identity. CVPR 2024: 9151-9161 - [c14]Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park:
Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. CVPR 2024: 23881-23890 - [c13]Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park:
Open-Set Domain Adaptation for Semantic Segmentation. CVPR 2024: 23943-23953 - [c12]Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park:
RADIO: Reference-Agnostic Dubbing Video Synthesis. WACV 2024: 4156-4166 - [c11]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: 6802-6811 - [i15]Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park:
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners. CoRR abs/2404.02117 (2024) - [i14]Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park:
Generative Unlearning for Any Identity. CoRR abs/2405.09879 (2024) - [i13]Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon Park:
Open-Set Domain Adaptation for Semantic Segmentation. CoRR abs/2405.19899 (2024) - [i12]Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park:
Online Continuous Generalized Category Discovery. CoRR abs/2408.13492 (2024) - [i11]Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park:
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning. CoRR abs/2409.10956 (2024) - [i10]Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park:
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. CoRR abs/2409.14538 (2024) - 2023
- [j8]Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park:
Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking. IEEE Access 11: 74035-74047 (2023) - [c10]Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim:
LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CVPR 2023: 19852-19862 - [c9]Juwon Seo, Ji-Su Kang, Gyeong-Moon Park:
LFS-GAN: Lifelong Few-Shot Image Generation. ICCV 2023: 11322-11332 - [c8]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: 11697-11707 - [i9]Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim:
LINe: Out-of-Distribution Detection by Leveraging Important Neurons. CoRR abs/2303.13995 (2023) - [i8]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 abs/2304.06488 (2023) - [i7]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 abs/2308.09303 (2023) - [i6]Juwon Seo, Ji-Su Kang, Gyeong-Moon Park:
LFS-GAN: Lifelong Few-Shot Image Generation. CoRR abs/2308.11917 (2023) - [i5]Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park:
RADIO: Reference-Agnostic Dubbing Video Synthesis. CoRR abs/2309.01950 (2023) - [i4]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 abs/2311.12467 (2023) - 2022
- [j7]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): 10339-10351 (2022) - [c7]Seung Jun Moon, Gyeong-Moon Park:
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. ECCV (15) 2022: 460-476 - [i3]Seungjun Moon, Gyeong-Moon Park:
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. CoRR abs/2209.10811 (2022) - [i2]Seung Jun Moon, Chaewon Kim, Gyeong-Moon Park:
WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details. CoRR abs/2210.09655 (2022) - 2021
- [j6]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): 2691-2705 (2021) - [j5]Gyeong-Moon Park, Jong-Hwan Kim:
Adaptive Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4347-4361 (2021) - 2020
- [c6]Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim:
Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. BMVC 2020 - [i1]Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim:
Continual Unsupervised Domain Adaptation with Adversarial Learning. CoRR abs/2010.09236 (2020)
2010 – 2019
- 2019
- [j4]Gyeong-Moon Park, Jae-Woo Choi, Jong-Hwan Kim:
Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1278-1284 (2019) - [c5]Joonhyuk Kim, Gyeong-Moon Park, Jong-Hwan Kim:
Multi-channel Classification Resonance Network*. RiTA 2019: 12-19 - 2018
- [j3]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): 1786-1799 (2018) - 2017
- [j2]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: 9-18 (2017) - [j1]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): 41-50 (2017) - [c4]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: 1879-1886 - 2016
- [c3]Gyeong-Moon Park, Jong-Hwan Kim:
Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. IJCNN 2016: 5174-5180 - [c2]Gyeong-Moon Park, Sanghyun Cho, Jong-Hwan Kim:
Biologically-inspired episodic memory model considering the context information. SMC 2016: 1471-1476 - 2014
- [c1]Gyeong-Moon Park, Seung-Hwan Baek, Jong-Hwan Kim:
Falling Prevention System from External Disturbances for Humanoid Robots. RiTA 2014: 97-105
Coauthor Index
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