125 citations · 166 across the 4 of their papers we have counts for
4 papers
PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network
Seungkyun Hong, Seongchan Kim, Minsu Joh +1
Predicting unseen weather phenomena is an important issue for disaster management. In this paper, we suggest a model for a convolutional sequence-to-sequence autoencoder for predic…
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data
Seongchan Kim, Seungkyun Hong, Minsu Joh +1
Accurate rainfall forecasting is critical because it has a great impact on people's social and economic activities. Recent trends on various literatures show that Deep Learning (Ne…
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Seungkyun Hong, Seongchan Kim, Minsu Joh +1
Advances in remote sensing technologies have made it possible to use high-resolution visual data for weather observation and forecasting tasks. We propose the use of multi-layer ne…
Visualization of Retrieved Documents using a Presentation Server
Sa-Kwang Song, Sung Hyon Myaeng
In any search-based digital library (DL) systems dealing with a non-trivial number of documents, users are often required to go through a long list of short document descriptions i…