Youngmin Ro

Orcid: 0000-0002-0661-9192

According to our database1, Youngmin Ro authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design.
CoRR, 2024

Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation.
CoRR, 2024

Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space.
IEEE Access, 2024

2023
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space.
CoRR, 2023

2022
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

FingerprintNet: Synthesized Fingerprints for Generated Image Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Differentially Private Normalizing Flows for Synthetic Tabular Data Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-supervised GAN Detector.
CoRR, 2021

FICGAN: Facial Identity Controllable GAN for De-identification.
CoRR, 2021

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks.
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.
CoRR, 2020

Heterogeneous Double-Head Ensemble for Deep Metric Learning.
IEEE Access, 2020

2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification.
CoRR, 2019

Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


  Loading...