Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning

Yan, Shaoqi; Wang, Yan; Mai, Xinji; Zhao, Qing; Song, Wei; Huang, Jun; Tao, Zeng; Wang, Haoran; Gao, Shuyong; Zhang, Wenqiang

doi:10.1016/j.comcom.2023.12.032

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction

Hu,

Meng,

Yang

et al. 2024

Energy and Buildings

View full text Add to dashboard Cite

Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction

Hu,

Meng,

Yang

et al. 2024

Energy and Buildings

View full text Add to dashboard Cite

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

Chen,

Huang,

Dong

et al. 2024

Proceedings of the 32nd ACM International Conference on Multimedia

View full text Add to dashboard Cite

Business Models Used in Smart Cities—Theoretical Approach with Examples of Smart Cities

Wolniak,

Gajdzik,

Grebski

et al. 2024

Smart Cities

View full text Add to dashboard Cite

This paper examines business model implementations in three leading European smart cities: London, Amsterdam, and Berlin. Through a systematic literature review and comparative analysis, the study identifies and analyzes various business models employed in these urban contexts. The findings reveal a diverse array of models, including public–private partnerships, build–operate–transfer arrangements, performance-based contracts, community-centric models, innovation hubs, revenue-sharing models, outcome-based financing, and asset monetization strategies. Each city leverages a unique combination of these models to address its specific urban challenges and priorities. The study highlights the role of PPPs in large-scale infrastructure projects, BOT arrangements in transportation solutions, and performance-based contracts in driving efficiency and accountability. It also explores the benefits of community-centric models, innovation hubs, revenue-sharing models, outcome-based financing, and asset monetization strategies in enhancing the sustainability, efficiency, and livability of smart cities. The paper offers valuable insights for policymakers, urban planners, and researchers seeking to advance smart city development worldwide.

show abstract

Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning

Cited by 3 publications

References 44 publications

Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction

Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

Business Models Used in Smart Cities—Theoretical Approach with Examples of Smart Cities

Contact Info

Product

Resources

About