Seokju Yun

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention.
CoRR
Dongheon Lee, Seokju Yun, Jaegyun Im, Youngmin Ro
2026 J jnl
RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation.
CoRR
Chanseul Cho, Seokju Yun, Jeaseong Jeon, Seungjae Moon, Youngmin Ro
2026 J jnl
StAR: Segment Anything Reasoner.
CoRR
Seokju Yun, Dongheon Lee, Noori Bae, Jaesung Jun, Chanseul Cho, Youngmin Ro
2025 J jnl
Emulating Self-attention with Convolution for Efficient Image Super-Resolution.
CoRR
Dongheon Lee, Seokju Yun, Youngmin Ro
2025 A* conf
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning.
CVPR
Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro
2025 J jnl
TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation.
CoRR
Min-Jung Kim, Dongjin Kim, Seokju Yun, Jaegul Choo
2024 J jnl
Implicit Grid Convolution for Multi-Scale Image Super-Resolution.
CoRR
Dongheon Lee, Seokju Yun, Youngmin Ro
2024 J jnl
MetaMixer Is All You Need.
CoRR
Seokju Yun, Dongheon Lee, Youngmin Ro
2024 J jnl
Partial Large Kernel CNNs for Efficient Super-Resolution.
CoRR
Dongheon Lee, Seokju Yun, Youngmin Ro
2024 A* conf
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design.
CVPR
Seokju Yun, Youngmin Ro
2024 J jnl
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design.
CoRR
Seokju Yun, Youngmin Ro
2024 J jnl
SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning.
CoRR
Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro
2024 J jnl
Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space.
IEEE Access
Seokju Yun, Youngmin Ro
2023 J jnl
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space.
CoRR
Seokju Yun, Youngmin Ro