no code implementations • 15 Jan 2024 • Shunya Kato, Masaki Saito, katsuhiko Ishiguro, Sol Cummings
However, existing methods deal solely with single-polarization images and cannot handle the multi-polarization images captured by modern satellites.
2 code implementations • 22 Nov 2018 • Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi
Training of Generative Adversarial Network (GAN) on a video dataset is a challenge because of the sheer size of the dataset and the complexity of each observation.
2 code implementations • 28 Aug 2017 • Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito
Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner.
Ranked #197 on Object Detection on COCO test-dev
4 code implementations • ICCV 2017 • Masaki Saito, Eiichi Matsumoto, Shunta Saito
In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generating videos.
no code implementations • CVPR 2015 • Masaki Saito, Takayuki Okatani
Although downsizing MRFs should directly reduce the computational cost, there is no systematic way of doing this, since it is unclear how to obtain the MRF energy for the downsized MRFs and also how to translate the estimates of their marginal distributions to those of the original MRFs.
no code implementations • CVPR 2013 • Masaki Saito, Takayuki Okatani, Koichiro Deguchi
In this paper, we show a novel formulation for this continuous-discrete conversion.