178 citations · 197 across the 5 of their papers we have counts for
10 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…
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1
This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Nevrez Imamoglu, Guanqun Ding, Yuming Fang +3
Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes. Howe…
Rare Event Detection using Disentangled Representation Learning
Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura
This paper presents a novel method for rare event detection from an image pair with class-imbalanced datasets. A straightforward approach for event detection tasks is to train a de…
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…
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks
Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa +4
This paper presents an efficient object detection method from satellite imagery. Among a number of machine learning algorithms, we proposed a combination of two convolutional neura…