Minje Park

According to our database, Minje Park authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram.

Yeongyeon Na, Minje Park, Yunwon Tae, Sunghoon Joo

CoRR, 2024

2023

Quantile estimation for encrypted data.

Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi

Appl. Intell., November, 2023

Unsupervised soft-to-hard hashing with contrastive learning.

Wonju Lee, Seok-Yong Byun, Minje Park

Comput. Vis. Image Underst., August, 2023

2021

Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection.

Wonju Lee, Seok-Yong Byun, Jooeun Kim, Minje Park, Kirill Chechil

CoRR, 2021

Multi-Band NIR Colorization Using Structure-Aware Network.

Minje Park, Ju-Han Lee, Sang-Ho Lee, Jong-Ok Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Deep Orthogonal Transform Feature for Image Denoising.

Yoon-Ho Shin, Minje Park, Oh-Young Lee, Jong-Ok Kim

IEEE Access, 2020

JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels.

Minje Park

IEEE Access, 2020

Progressive Deep Network with Channel Back-Projection for Hyperspectral Recovery from RGB.

Sang-Ho Lee, Minje Park, Jong-Ok Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Data Proxy Generation for Fast and Efficient Neural Architecture Search.

Minje Park

CoRR, 2019

Vertex circulation and regularity of compressible Stokes flows: Numerical simulations.

Jae Ryong Kweon, Minje Park

Commun. Nonlinear Sci. Numer. Simul., 2019

2017

Interior discontinuity for a stationary compressible Stokes system with inflow datum.

Joo Hyeong Han, Jae Ryong Kweon, Minje Park

Comput. Math. Appl., 2017

2016

PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection.

Kye-Hyeon Kim, Yeongjae Cheon, Sanghoon Hong, Byung-Seok Roh, Minje Park

CoRR, 2016

PVANet: Lightweight Deep Neural Networks for Real-time Object Detection.

Sanghoon Hong, Byung-Seok Roh, Kye-Hyeon Kim, Yeongjae Cheon, Minje Park

CoRR, 2016