Youngmin Ro

According to our database, Youngmin Ro authored at least 29 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation.

Seungjae Moon, Seunghyun Oh, Youngmin Ro

CoRR, April, 2026

RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation.

Chanseul Cho, Seokju Yun, Jeaseong Jeon, Seungjae Moon, Youngmin Ro

CoRR, March, 2026

StAR: Segment Anything Reasoner.

Seokju Yun, Dongheon Lee, Noori Bae, Jaesung Jun, Chanseul Cho, Youngmin Ro

CoRR, March, 2026

Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention.

Dongheon Lee, Seokju Yun, Jaegyun Im, Youngmin Ro

CoRR, March, 2026

GroupLoRA: Enhancing Rank Effectiveness Through Group-Wise Decomposition for Low-Rank Adaptation.

Jaesung Jun, Youngmin Ro

IEEE Access, 2026

2025

AULoRA: Anomaly Understanding With Low-Rank Adaptation for Zero-Shot Anomaly Detection.

Seunghyun Oh, Seongsu Lee, Seunghye Chae, Youngmin Ro

IEEE Access, 2025

Emulating Self-attention with Convolution for Efficient Image Super-Resolution.

Dongheon Lee, Seokju Yun, Youngmin Ro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning.

Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Instance-Dependent Multilabel Noise Generation for Multilabel Remote Sensing Image Classification.

Youngwook Kim, Sehwan Kim, Youngmin Ro, Jungwoo Lee

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Self-supervised scheme for generalizing GAN image detection.

Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi

Pattern Recognit. Lett., 2024

SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning.

Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro

CoRR, 2024

Implicit Grid Convolution for Multi-Scale Image Super-Resolution.

Dongheon Lee, Seokju Yun, Youngmin Ro

CoRR, 2024

MetaMixer Is All You Need.

Seokju Yun, Dongheon Lee, Youngmin Ro

CoRR, 2024

Partial Large Kernel CNNs for Efficient Super-Resolution.

Dongheon Lee, Seokju Yun, Youngmin Ro

CoRR, 2024

Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space.

Seokju Yun, Youngmin Ro

IEEE Access, 2024

Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation.

Dongheon Lee, Seungmyong Jeong, Youngmin Ro

IEEE Access, 2024

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design.

Seokju Yun, Youngmin Ro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space.

Seokju Yun, Youngmin Ro

CoRR, 2023

2022

Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks.

Youngmin Ro, Jongwon Choi, Byeongho Heo, Jin Young Choi

IEEE Trans. Neural Networks Learn. Syst., 2022

FingerprintNet: Synthesized Fingerprints for Generated Image Detection.

Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, Jongwon Choi

Proceedings of the Computer Vision - ECCV 2022, 2022

Differentially Private Normalizing Flows for Synthetic Tabular Data Generation.

Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations.

Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-supervised GAN Detector.

Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi

CoRR, 2021

FICGAN: Facial Identity Controllable GAN for De-identification.

Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon

CoRR, 2021

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks.

Youngmin Ro, Jin Young Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks.

Youngmin Ro, Jin Young Choi

CoRR, 2020

Heterogeneous Double-Head Ensemble for Deep Metric Learning.

Youngmin Ro, Jin Young Choi

IEEE Access, 2020

2019

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification.

Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

CoRR, 2019

Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification.

Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019