activity
20172023
most citedFilmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

178 citations · 295 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment

Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim

AI-driven Action Quality Assessment (AQA) of sports videos can mimic Olympic judges to help score performances as a second opinion or for training. However, these AI methods are un…

cs.CV2018

Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera

Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi +1

This paper proposes a novel method of estimating the absolute scale of monocular SfM for a multi-modal stereo camera. In the fields of computer vision and robotics, scale estimatio…

cs.CV2017★ 17 cited

Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints

Ken Sakurada, Weimin Wang, Nobuo Kawaguchi +1

This paper presents a novel method for detecting scene changes from a pair of images with a difference of camera viewpoints using a dense optical flow based change detection networ…

cs.CV2017★ 178 cited

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

Kenji Enomoto, Ken Sakurada, Weimin Wang +4

In this paper, we propose a method for cloud removal from visible light RGB satellite images by extending the conditional Generative Adversarial Networks (cGANs) from RGB images to…

cs.CV2017★ 100 cited

Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard

Weimin Wang, Ken Sakurada, Nobuo Kawaguchi

This paper presents a novel method for fully automatic and convenient extrinsic calibration of a 3D LiDAR and a panoramic camera with a normally printed chessboard. The proposed me…