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Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications

Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El Saddik
2020 IEEE Multimedia  
Therefore, there's a growing demand for developing and designing new multimedia computing methods for urban data analysis and applications, especially in current deep learning and multimedia big data era  ...  Recently, benefiting from both the easy availability of urban multimedia big data and the rapid development of deep learning technologies, some novel methods in multimedia computing have emerged as a promising  ...  Kankanhalli for giving them the opportunity to organize this special issue.  ... 
doi:10.1109/mmul.2020.3017877 fatcat:f4tcmeg72bfvdmncou4lsia6cq

A Survey of Deep Facial Attribute Analysis [article]

Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He
2019 arXiv   pre-print
Additionally, we introduce the underlying theories of this two-stage pipeline for both FAE and FAM.  ...  Facial attribute analysis has received considerable attention when deep learning techniques made remarkable breakthroughs in this field over the past few years.  ...  Margin Local Embedding (LMLE) Method for large-scale imbalanced facial attribute classification VGG-6 Quintuplet CNN CelebA(BAcc:84.25%) Zhong et al. [135](ICIP2016) Studying the effect of mid-level  ... 
arXiv:1812.10265v3 fatcat:tezgo2angvfefbttuoodnss6t4