Soopil Kim

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

Philip Chikontwe, Soopil Kim, Sang Hyun Park · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 46 citations

Few-shot Learning, Engineering, Machine Learning +17

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation

Soopil Kim, Sion An, Philip Chikontwe et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 44 citations · Full text

Few-shot Learning, Geometric Learning, Medical Image Segmentation +20

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification

Sion An, Soopil Kim, Philip Chikontwe et al. · 2020 · 43 citations · Full text

Few-shot Learning, Multiple Instance Learning, Engineering +22

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification

Sion An, Soopil Kim, Philip Chikontwe et al. · IEEE Transactions on Neural Networks and Learning Systems · 2023 · 33 citations

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin et al. · Pattern Recognition · 2023 · 33 citations

Artificial Intelligence, Engineering, Machine Learning +11