4 citations · 7 across the 4 of their papers we have counts for
4 papers
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Minseok Seo, Doyi Kim, Seungheon Shin +3
Deep learning-based weather prediction models have advanced significantly in recent years. However, data-driven models based on deep learning are difficult to apply to real-world a…
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Minseok Seo, Doyi Kim, Seungheon Shin +3
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems. Recently, with the development of a data-driven approach, wea…
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
Sangyun Lee, Sewoong Ahn, Kwangjin Yoon
Unsupervised real world super resolution (USR) aims to restore high-resolution (HR) images given low-resolution (LR) inputs, and its difficulty stems from the absence of paired dat…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…