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Youngmin Ro
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2020 – today
- 2024
- [j6]Seokju Yun
, Youngmin Ro
Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space. IEEE Access 12: 13626-13633 (2024) - [j5]Dongheon Lee
Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation. IEEE Access 12: 151856-151863 (2024) - [j4]Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi
Self-supervised scheme for generalizing GAN image detection. Pattern Recognit. Lett. 184: 219-224 (2024) - [j3]Youngwook Kim
Instance-Dependent Multilabel Noise Generation for Multilabel Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17087-17098 (2024) - [c6]Seokju Yun, Youngmin Ro:
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design. CVPR 2024: 5756-5767 - [i11]Dongheon Lee, Seungmyong Jeong, Youngmin Ro:
Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation. CoRR abs/2401.15893 (2024) - [i10]Seokju Yun, Youngmin Ro:
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design. CoRR abs/2401.16456 (2024) - [i9]Dongheon Lee, Seokju Yun, Youngmin Ro:
Partial Large Kernel CNNs for Efficient Super-Resolution. CoRR abs/2404.11848 (2024) - [i8]Seokju Yun, Dongheon Lee, Youngmin Ro:
MetaMixer Is All You Need. CoRR abs/2406.02021 (2024) - [i7]Dongheon Lee, Seokju Yun, Youngmin Ro:
Implicit Grid Convolution for Multi-Scale Image Super-Resolution. CoRR abs/2408.09674 (2024) - 2023
- [i6]Seokju Yun, Youngmin Ro:
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space. CoRR abs/2304.07254 (2023) - 2022
- [j2]Youngmin Ro
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4648-4660 (2022) - [c5]Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi:
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations. AAAI 2022: 1060-1068 - [c4]Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro:
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. AAAI 2022: 7345-7353 - [c3]Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, Jongwon Choi:
FingerprintNet: Synthesized Fingerprints for Generated Image Detection. ECCV (14) 2022: 76-94 - [i5]Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi:
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations. CoRR abs/2202.03347 (2022) - 2021
- [c2]Youngmin Ro, Jin Young Choi:
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks. AAAI 2021: 2486-2494 - [i4]Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon:
FICGAN: Facial Identity Controllable GAN for De-identification. CoRR abs/2110.00740 (2021) - [i3]Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi:
Self-supervised GAN Detector. CoRR abs/2111.06575 (2021) - 2020
- [j1]Youngmin Ro
Heterogeneous Double-Head Ensemble for Deep Metric Learning. IEEE Access 8: 118525-118533 (2020) - [i2]Youngmin Ro, Jin Young Choi:
Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks. CoRR abs/2002.06048 (2020)
2010 – 2019
- 2019
- [c1]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. AAAI 2019: 8859-8867 - [i1]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification. CoRR abs/1901.06140 (2019)
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last updated on 2024-11-07 20:36 CET by the dblp team
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