125 citations · 165 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 14 cited
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…
cs.LG2017★ 125 cited
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…
cs.NE2017★ 26 cited
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…