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 002; Jin Young Choi 002 (AAAI, 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 002; Jin Young Choi 002 (CoRR, 2019)

Heterogeneous Double-Head Ensemble for Deep Metric Learning. - Youngmin Ro; Jin Young Choi 002 (IEEE Access, 2020)

Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks. - Youngmin Ro; Jin Young Choi 002 (CoRR, 2020)

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks. - Youngmin Ro; Jin Young Choi 002 (AAAI, 2021)

FICGAN: Facial Identity Controllable GAN for De-identification. - Yonghyun Jeong; Jooyoung Choi; Sungwon Kim 001; Youngmin Ro; Tae-Hyun Oh; Doyeon Kim; Heonseok Ha; Sungroh Yoon (CoRR, 2021)

Self-supervised GAN Detector. - Yonghyun Jeong; Doyeon Kim; Pyounggeon Kim; Youngmin Ro; Jongwon Choi (CoRR, 2021)

FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations. - Yonghyun Jeong; Doyeon Kim; Youngmin Ro; Jongwon Choi (AAAI, 2022)

Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. - Jaewoo Lee; Minjung Kim; Yonghyun Jeong; Youngmin Ro (AAAI, 2022)

FingerprintNet: Synthesized Fingerprints for Generated Image Detection. - Yonghyun Jeong; Doyeon Kim; Youngmin Ro; Pyounggeon Kim; Jongwon Choi (ECCV (14), 2022)

Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks. - Youngmin Ro; Jongwon Choi; Byeongho Heo; Jin Young Choi 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

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)

Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation. - Dongheon Lee; Seungmyong Jeong; Youngmin Ro (IEEE Access, 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)

Self-supervised scheme for generalizing GAN image detection. - Yonghyun Jeong; Doyeon Kim; Pyounggeon Kim; Youngmin Ro; Jongwon Choi (Pattern Recognit. Lett., 2024)

Instance-Dependent Multilabel Noise Generation for Multilabel Remote Sensing Image Classification. - Youngwook Kim; Sehwan Kim; Youngmin Ro; Jungwoo Lee 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)