1 code implementation • 2 Dec 2023 • Jaewoo Jung, Jisang Han, Jiwon Kang, Seongchan Kim, Min-Seop Kwak, Seungryong Kim
We formulate few-shot NeRF into a teacher-student framework to guide the network to learn a more robust representation of the scene by training the student with additional pseudo labels generated from the teacher.
no code implementations • 29 Nov 2017 • Seungkyun Hong, Seongchan Kim, Minsu Joh, Sa-kwang Song
Predicting unseen weather phenomena is an important issue for disaster management.
no code implementations • 7 Nov 2017 • Seongchan Kim, Seungkyun Hong, Minsu Joh, Sa-kwang Song
This model predicts the amount of rainfall from weather radar data, which is three-dimensional and four-channel data, using convolutional LSTM (ConvLSTM).
no code implementations • 11 Aug 2017 • Seungkyun Hong, Seongchan Kim, Minsu Joh, Sa-kwang Song
Advances in remote sensing technologies have made it possible to use high-resolution visual data for weather observation and forecasting tasks.