178 citations · 303 across the 5 of their papers we have counts for
5 papers
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames
Yutaka Momma, Weimin Wang, Edgar Simo-Serra +3
We present a lightweight post-processing method to refine the semantic segmentation results of point cloud sequences. Most existing methods usually segment frame by frame and encou…
Weakly Supervised Silhouette-based Semantic Scene Change Detection
Ken Sakurada, Mikiya Shibuya, Weimin Wang
This paper presents a novel semantic scene change detection scheme with only weak supervision. A straightforward approach for this task is to train a semantic change detection netw…
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…
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…
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…