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Shouming Hou

dblp:05/2474 · DBLP profile ↗
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5ranked-venue papers
3as first author
4since 2021 · last 2026
0000-0002-7060-2846ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 5 · 3 first-author · 4 since 2021

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
Computational fabrication · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
additive manufacturing
0.612022
A Support-Free Infill Structure Based on Layer Construction for 3D Printing · IEEE Trans. Vis. Comput. Graph. 2022
Computational fabrication › additive manufacturing
infill structure design
0.612022
A Support-Free Infill Structure Based on Layer Construction for 3D Printing · IEEE Trans. Vis. Comput. Graph. 2022

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

structural simulation · 0.6
YearPublicationVenuePosition
2026 TCMS-Net: a neural network with a dual-branch feature aggregator for Tai Chi action quality assessment
Shouming Hou, Shaocong Geng, Lufan Chang, Mengnan Cheng
Multim. Syst.1
2025 Interpretable two-stage action quality assessment via 3D human pose estimation and dynamic feature alignment
Shouming Hou, Aoyu Xia, Weibo Yang
Vis. Comput.1
2024 Masked cross-attention and multi-head channel attention guiding single-stage generative adversarial networks for text-to-image generation
Shouming Hou, Ziying Li, Kuikui Wu, Yinggang Zhao
Vis. Comput.1
2022 A Support-Free Infill Structure Based on Layer Construction for 3D Printing
abstract
The design of the light-weight infill structure is a hot research topic in additive manufacturing. In recent years, various infill structures have been proposed to reduce the amount of printing material. However, 3D models filled with them may have very different structural performances under different loading conditions. In addition, most of them are not self-supporting. To mitigate these issues, a novel light-weight infill structure based on the layer construction is proposed in this article. The layers of the proposed infill structure continuously and periodically transform between triangles and hexagons. The geometries of two adjacent layers are controlled to be self-supporting for different 3D printing technologies. The machine code (Gcode) of the filled 3D model is generated in the construction of the infill structure for 3D printers. That means 3D models filled with the proposed infill structure do not need an extra slicing process before printing, which is time consuming in some cases. Structural simulations and physical experiments demonstrate that our infill structure has comparable structural performance under different loading conditions. Furthermore, the relationship between the structural stiffness and the parameters of the infill structure is investigated, which will be helpful for non-professional users.
Wenpeng Xu, Yi Liu 0103, Menglin Yu, Dongxiao Wang, Shouming Hou, Bo Li 0023, Weiming Wang 0003, Ligang Liu 0001
IEEE Trans. Vis. Comput. Graph.5
2009 Parametric garment modeling from sections
abstract
We present a feature and parameterization approach for constructing garment surface with garment sections from human body sections. The body section is obtained from polygonal 3D human models with the horizontal cutting plane based on detecting feature points on human model. Then we make the interstice measure which converts from garment tolerance as the parameter to build garment sections from body sections. Garment Surface is constructed with garment sections by an improved angle synchronous method.
Wenpeng Xu, Shouming Hou
CAD/Graphics2