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Shinya Sumikura

dblp:228/8560 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Robot navigation and mapping · 100%
Network and information security
1 paper
Privacy and data protection · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › SLAM
visual SLAM		 0.822020
Privacy Preserving Visual SLAM · ECCV (22) 2020
OpenVSLAM: A Versatile Visual SLAM Framework · ACM Multimedia 2019
Robotics › Robot navigation and mapping
SLAM		 0.412019
OpenVSLAM: A Versatile Visual SLAM Framework · ACM Multimedia 2019
Virtual and augmented reality › augmented reality
augmented reality device		 0.112019
OpenVSLAM: A Versatile Visual SLAM Framework · ACM Multimedia 2019

Methods — techniques the papers use, named apart from their topics

secure computation · 0.9
YearPublicationVenuePosition
2020 Privacy Preserving Visual SLAM
Mikiya Shibuya, Shinya Sumikura, Ken Sakurada
 ECCV (22)2
2019 OpenVSLAM: A Versatile Visual SLAM Framework
abstract
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones, etc. However, conventional open-source visual SLAM frameworks are not appropriately designed as libraries called from third-party programs. To overcome this situation, we have developed a novel visual SLAM framework. This software is designed to be easily used and extended. It incorporates several useful features and functions for research and development. OpenVSLAM is released at https://github.com/xdspacelab/openvslam under the 2-clause BSD license.
Shinya Sumikura, Mikiya Shibuya, Ken Sakurada
 ACM Multimedia1
2018 Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera
Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura
 ACCV (3)1