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2020 – today
- 2026
[j2]Dongheon Lee
, Seokju Yun, Youngmin Ro:
Partial Large Kernel CNNs for Efficient Super-Resolution. IEEE Access 14: 63847-63856 (2026)- [i11]Dongheon Lee, Seokju Yun, Jaegyun Im, Youngmin Ro:
Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention. CoRR abs/2603.06738 (2026) - [i10]Seokju Yun, Dongheon Lee, Noori Bae, Jaesung Jun, Chanseul Cho, Youngmin Ro:
StAR: Segment Anything Reasoner. CoRR abs/2603.14382 (2026) - [i9]Chanseul Cho, Seokju Yun, Jeaseong Jeon, Seungjae Moon, Youngmin Ro:
RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation. CoRR abs/2603.28142 (2026) - 2025
- [c3]Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro:
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning. CVPR 2025: 25602-25612 - [c2]Dongheon Lee, Seokju Yun, Youngmin Ro:
Emulating Self-attention with Convolution for Efficient Image Super-Resolution. ICCV 2025: 24467-24477 - [i8]Dongheon Lee, Seokju Yun, Youngmin Ro:
Emulating Self-attention with Convolution for Efficient Image Super-Resolution. CoRR abs/2503.06671 (2025) - [i7]Min-Jung Kim, Dongjin Kim, Seokju Yun, Jaegul Choo:
TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation. CoRR abs/2506.07205 (2025) - 2024
- [j1]Seokju Yun, Youngmin Ro:
Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space. IEEE Access 12: 13626-13633 (2024) - [c1]Seokju Yun, Youngmin Ro:
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design. CVPR 2024: 5756-5767 - [i6]Seokju Yun, Youngmin Ro:
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design. CoRR abs/2401.16456 (2024) - [i5]Dongheon Lee, Seokju Yun, Youngmin Ro:
Partial Large Kernel CNNs for Efficient Super-Resolution. CoRR abs/2404.11848 (2024) - [i4]Seokju Yun, Dongheon Lee, Youngmin Ro:
MetaMixer Is All You Need. CoRR abs/2406.02021 (2024) - [i3]Dongheon Lee, Seokju Yun, Youngmin Ro:
Implicit Grid Convolution for Multi-Scale Image Super-Resolution. CoRR abs/2408.09674 (2024) - [i2]Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro:
SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning. CoRR abs/2412.04077 (2024) - 2023
- [i1]Seokju Yun, Youngmin Ro:
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space. CoRR abs/2304.07254 (2023)
Coauthor Index
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