Xingye Li
Biographic Data
| ID | 10016218 |
|---|---|
| NAME | Xingye Li |
| GIVEN NAMES | Xingye |
| FAMILY NAME | Li |
| SIGNATURE | LI X |
| AFFILIATIONS | Shanghai Maritime University |
| ORCID | 0000-0002-5727-8877 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AGT-Net
The key to address long-term person reidentification (Re-ID) in videos is to extract invariant spatio-temporal features (ISTF), which can be broadly categorized into two forms: 1) clothes-irrelevant appearance such as facial characteristics and body shape; 2) identity-distinctive motion such as posture and gait. However, existing studies mainly focus on mining either appearance- or motion-based features in the sequences without sufficient utiliza…
Evaluating the metropolitan public health preparedness for pandemics using entropy-Topsis-IF
Introduction: Metropolitan governance's efficacy is regularly gauged by its capability for public health preparedness, a critical component, particularly in the post-pandemic climate, as global cities reassess their mitigation abilities. This process has broader implications, curbing mortality rates and amplifying sustainability. Current methodologies for preparedness assessment lean primarily on either Subjective Evaluation-Based Assessment (SBA…
No prominent works on this page.
Evaluating the metropolitan public health preparedness for pandemics using entropy-Topsis-IF
Introduction: Metropolitan governance's efficacy is regularly gauged by its capability for public health preparedness, a critical component, particularly in the post-pandemic climate, as global cities reassess their mitigation abilities. This process has broader implications, curbing mortality rates and amplifying sustainability. Current methodologies for preparedness assessment lean primarily on either Subjective Evaluation-Based Assessment (SBA…
AGT-Net
The key to address long-term person reidentification (Re-ID) in videos is to extract invariant spatio-temporal features (ISTF), which can be broadly categorized into two forms: 1) clothes-irrelevant appearance such as facial characteristics and body shape; 2) identity-distinctive motion such as posture and gait. However, existing studies mainly focus on mining either appearance- or motion-based features in the sequences without sufficient utiliza…
Computer Science (2 works) · Artificial Intelligence (1 work) · Business (1 work) · COVID-19 epidemiological studies (1 work) · Disaster Response and Management (1 work) · Economics (1 work) · Engineering (1 work) · Geography (1 work) · Insurance, Mortality, Demography, Risk Management (1 work) · Mathematics (1 work)