[10]
K.-H. Park, Kyungwoo Song†, and G.-M. Park† "Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners" Computer Vision and Pattern Recognition (CVPR), Seattle, U.S.A, Jun. 2024.
[9]
J. Seo*, S.-H. Lee*, T.-Y. Lee*, Seung-Jun Moon, and G.-M. Park† "Generative Unlearning for Any Identity" Computer Vision and Pattern Recognition (CVPR), Seattle, U.S.A, Jun. 2024.
[8]
S.-A. Choe*, A.-H. Shin*, K.-H. Park, Jinwoo Choi†, and G.-M. Park† "Open-Set Domain Adaptation for Semantic Segmentation" Computer Vision and Pattern Recognition (CVPR), Seattle, U.S.A, Jun. 2024.
[7]
Dongyeun Lee*, Chaewon Kim*, Sangjoon Yu, Jaejun Yoo†, and G.-M. Park† "RADIO: Reference-Agnostic Dubbing Video Synthesis" Winter Conference on Applications of Computer Vision (WACV), Waikoloa, U.S.A, Jan. 2024.
[6]
Hyogun Lee*, Kyungho Bae*, Seong Jong Ha, Yumin Ko, G.-M. Park†, and Jinwoo Choi† "GLAD: Global-Local View Alignment and Background Debiasing for Video Domain Adaptation" Winter Conference on Applications of Computer Vision (WACV), Waikoloa, U.S.A, Jan. 2024.
[5]
J.-Y. Moon*, K.-H. Park*, Jung Uk Kim†, and G.-M. Park† "Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning" International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023.
[4]
J. Seo*, Ji-Su Kang*, and G.-M. Park "LFS-GAN: Lifelong Few-Shot Image Generation" International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023.
[3]
Yong Hyun Ahn, G.-M. Park†, and Seong Tae Kim† "LINe: Out-of-Distribution Detection by Leveraging Important Neurons" Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023.
[2]
Seungjun Moon and G.-M. Park "IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion" European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, Oct. 2022.
[1]
Joonhyuk Kim, Inug Yoon, G.-M. Park, and Jong-Hwan Kim "Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification" The British Machine Vision Conference (BMVC), Manchester, England, Sep. 2020.
[5]
Jae-Woo Choi, G.-M. Park, and Jong-Hwan Kim "SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network" IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 10, pp. 10339-10351, Oct. 2022.
[4]
G.-M. Park and Jong-Hwan Kim "Adaptive Developmental Resonance Network" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 10, pp. 4347-4361, Oct. 2021.
[3]
G.-M. Park, Sahng-Min Yoo, and Jong-Hwan Kim "Convolutional Neural Network with Developmental Memory for Continual Learning" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 6, pp. 2691-2705, Jun. 2021.
[2]
G.-M. Park, Jae-Woo Choi, and Jong-Hwan Kim "Developmental Resonance Network" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 4, pp. 1278-1284, Apr. 2019.
[1]
G.-M. Park, Yong-Ho Yoo, Deok Hwa Kim, and Jong-Hwan Kim "Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots" IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 6, pp. 1786-1799, Jun. 2018.