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Yuto Kimura

dblp:247/4016 · DBLP profile ↗
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5ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · conflict

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

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 70% Rendering · 30%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
mixed reality
0.412019
Can Transparent Virtual Objects Be Represented Realistically on OST-HMDs? · VR 2019
Virtual and augmented reality › augmented reality
optical see-through head-mounted display
0.412019
Can Transparent Virtual Objects Be Represented Realistically on OST-HMDs? · VR 2019
Rendering › surface rendering
transparency rendering
0.412019
Can Transparent Virtual Objects Be Represented Realistically on OST-HMDs? · VR 2019
Virtual and augmented reality › augmented reality display
video see-through display
0.112019
Can Transparent Virtual Objects Be Represented Realistically on OST-HMDs? · VR 2019

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

demonstration · 0.4
YearPublicationVenuePosition
2023 Ride-Sharing Allocation System and Optimal Path-Finding Algorithm for Marine Taxies in the Setouchi Inland Sea Area
Ryota Shiojiri, Risa Takegami, Yukikazu Murakami, Hidekazu Tokunaga, Yuto Kimura
CISIS5
2020 A Study of Conflict Solving Tactics and Culture in Integrated Organizations through Interviews and Text Mining
abstract
Mergers and acquisitions (M&A) help to increase market share and competitivity while come together in the process of transactions are a string of combinations and abortions of duplicated functionalities and divisions, and thus, series of psychological conflicts of employees. This may be very much demotivating as pointed out by critics. It is commonly believed that such conflicts in integrated companies stems mainly from the difference of working cultures. Still, they should be resolved for establishing a new value for the integrated organization. Nevertheless, organizational culture is the sum of all intangible common action pattern of the members, collective norms, governing concepts and beliefs that cannot be easily visualized. It is extremely difficult for the two merging parties to understand and recognize each other’s culture in transactions. Hence, high expectations are on management based on thorough understanding of the merging organizational cultures that could help employees to confront the conflicts and ultimately solve them smoothly. Hosoo and Kimura (2019) have pointed out an easy and qualitative way to measure organizational cultures of integrated organizations through data attained from qualitative interviews.
Hideo Hosoo, Yuto Kimura, Kazuhiko Tsuda
KES2
2020 An AHP Approach for Transform Selection in DHCT-Based Image Compression
Masaki Morita, Yuto Kimura, Katsu Yamatani
KES-IDT2
2020 Shadow induction on optical see-through head-mounted displays
Sei Ikeda, Yuto Kimura, Shinnosuke Manabe, Asako Kimura, Fumihisa Shibata
Comput. Graph.2
2019 Can Transparent Virtual Objects Be Represented Realistically on OST-HMDs?
abstract
In mixed reality using video see-through displays, various optical effects can be simulated for representing a transparent object. However, consumer-available OST-HMDs can not reproduce some of their effects correctly because of its mechanism. There has been little discussion concerning to what extent such transparent objects can be represented realistically. In this demonstration, we will show how effective each for combination of existing methods is.
Yuto Kimura, Shinnosuke Manabe, Sei Ikeda, Asako Kimura, Fumihisa Shibata
VR1