[5]
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.
[4]
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.
[3]
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.
[2]
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.
[1]
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.
[2]
G.-M. Park, J.-H. Lee, and M.-Y. Park "클러스터 기반 어댑터 변화 제어와 증분 분류기를 통한 다목적 증분 학습 장치 및 방법 (Versatile Incremental Learning Apparatus and Method using Cluster-based Adapter Shift Control and Incremental Classifier)" Korean Patent Application (10-2024-0026300), Feb. 23, 2024.
[1]
G.-M. Park and A.-H. Shin "시계열 데이터의 이상 탐지 방법 및 이를 수행하기 위한 컴퓨팅 장치 (Method for Detecting Anomaly in Time Series Data and Computing Device for Executing The Method)" US Patent Registration (11861454), Jan. 02, 2024.