Deep Cross-Modal Steganography Using Neural Representations. - Gyojin Han; Dong-Jae Lee; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ICIP, 2023)

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. - Jiwan Hur; Jae Young Lee 002; Jaehyun Choi; Junmo Kim 002 (WACV, 2023)

Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. - Jae Young Lee 002; Jiwan Hur; Jaehyun Choi; Rae-Hong Park; Junmo Kim 002 (Pattern Recognit. Lett., 2023)

Learning Neural Deformation Representation for 4D Dynamic Shape Generation. - Gyojin Han; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ECCV (72), 2024)

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance. - Jiwan Hur; Dong-Jae Lee; Gyojin Han; Jaehyun Choi; Yunho Jeon; Junmo Kim 002 (NeurIPS, 2024)

Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. - Jiwan Hur; Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Junmo Kim 002 (WACV, 2024)

PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion. - Jaehyun Choi; Jiwan Hur; Gyojin Han; Jaemyung Yu; Junmo Kim 002 (CoRR, 2025)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization. - Dongyeun Lee; Jiwan Hur; Hyounguk Shon; Jae Young Lee; Junmo Kim (CoRR, 2025)