Yuanzhi Cai

About Yuanzhi Cai

Yuanzhi Cai, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Xi'an Jiaotong-Liverpool University, specializes in the field of Deep Learning, Semantic Segmentation, Point Cloud, Thermal comfort, BIM.

His recent articles reflect a diverse array of research interests and contributions to the field:

Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation

Windows and Doors Extraction from Point Cloud Data Combining Semantic Features and Material Characteristics

SBSS: Stacking-based semantic segmentation framework for very high-resolution remote sensing image

An Artificial Neural Network-based model that can predict inpatients’ personal thermal sensation in rehabilitation wards

三维点云数据的图像增强方法, 语义分割方法及装置

Indoor Thermal Comfort Prediction Model for Patients in Rehabilitation Wards

SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening

OSTA: One-shot task-adaptive channel selection for semantic segmentation of multichannel images

Yuanzhi Cai Information

University

Position

___

Citations(all)

85

Citations(since 2020)

85

Cited By

0

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Yuanzhi Cai Skills & Research Interests

Deep Learning

Semantic Segmentation

Point Cloud

Thermal comfort

BIM

Top articles of Yuanzhi Cai

Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation

Automation in Construction

2024/2/1

Windows and Doors Extraction from Point Cloud Data Combining Semantic Features and Material Characteristics

Buildings

2023/2/13

SBSS: Stacking-based semantic segmentation framework for very high-resolution remote sensing image

IEEE Transactions on Geoscience and Remote Sensing

2023/1/5

An Artificial Neural Network-based model that can predict inpatients’ personal thermal sensation in rehabilitation wards

Journal of Building Engineering

2023/12/1

三维点云数据的图像增强方法, 语义分割方法及装置

2023/10/24

Indoor Thermal Comfort Prediction Model for Patients in Rehabilitation Wards

2023/8/17

SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2023/7/5

OSTA: One-shot task-adaptive channel selection for semantic segmentation of multichannel images

arXiv preprint arXiv:2305.04766

2023/5/8

Semantic segmentation of multispectral images via linear compression of bands: An experiment using RIT-18

Remote Sensing

2022/6/2

Semantic segmentation of terrestrial laser scanning point clouds using locally enhanced image-based geometric representations

IEEE Transactions on Geoscience and Remote Sensing

2022/3/24

Investigating spatial impact on indoor personal thermal comfort

Journal of Building Engineering

2022/1/1

An overview of constructing geometric models of buildings using point clouds

2021/11/11

An efficient filtering approach for removing outdoor point cloud data of manhattan-world buildings

Remote Sensing

2021/9/22

Lei Fan
Lei Fan

H-Index: 5

Yuanzhi Cai
Yuanzhi Cai

H-Index: 0

An Efficient Approach to Automatic Construction of 3D Watertight Geometry of Buildings Using Point Clouds

Remote Sensing

2021/5/17

Yuanzhi Cai
Yuanzhi Cai

H-Index: 0

Lei Fan
Lei Fan

H-Index: 5

Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM)

Remote Sensing

2021/4/2

Simulations of human-induced floor vibrations considering walking overlap

SN Applied Sciences

2020/1

See List of Professors in Yuanzhi Cai University(Xi'an Jiaotong-Liverpool University)

Co-Authors

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