Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space. - Seokju Yun; Youngmin Ro (CoRR, 2023)

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design. - Seokju Yun; Youngmin Ro (CVPR, 2024)

Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space. - Seokju Yun; Youngmin Ro (IEEE Access, 2024)

Partial Large Kernel CNNs for Efficient Super-Resolution. - Dongheon Lee; Seokju Yun; Youngmin Ro (CoRR, 2024)

MetaMixer Is All You Need. - Seokju Yun; Dongheon Lee; Youngmin Ro (CoRR, 2024)

Implicit Grid Convolution for Multi-Scale Image Super-Resolution. - Dongheon Lee; Seokju Yun; Youngmin Ro (CoRR, 2024)

SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning. - Seokju Yun; Seunghye Chae; Dongheon Lee; Youngmin Ro (CoRR, 2024)

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning. - Seokju Yun; Seunghye Chae; Dongheon Lee; Youngmin Ro (CVPR, 2025)

Emulating Self-attention with Convolution for Efficient Image Super-Resolution. - Dongheon Lee; Seokju Yun; Youngmin Ro (CoRR, 2025)

TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation. - Min-Jung Kim 001; Dongjin Kim; Seokju Yun; Jaegul Choo (CoRR, 2025)