Kim, Dae-Shik

6 publications

ICCV 2023 ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization Jae-Hyeok Lee, Dae-Shik Kim

CVPRW 2023 Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement Sunhyeok Lee, Donggon Jang, Dae-Shik Kim

WACV 2022 Learning Color Representations for Low-Light Image Enhancement Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim

CVPRW 2022 Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix Donggon Jang, Sanghyeok Son, Dae-Shik Kim

CVPRW 2021 Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim

IJCAI 2018 Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron Tetiana Parshakova, Dae-Shik Kim