Safeguard the Authority of the Constitution: Comprehensively Promote the Cornerstone of Ruling the Country by Law

Comprehensively promoting ruling the country by law is a systematic project, but in the end the most important thing is to safeguard the authority of the Constitution. Constitution is the fundamental law of the country, and the fundamental guarantee to comprehensively promote ruling by law. The Constitution of our country is essentially different with Western constitutionalism. Safeguarding the authority of the Constitution is the cornerstone to comprehensively promote ruling the country by law

Leadership of Chinese Communist Party Is the Fundamental Guarantee for Comprehensively Promoting Ruling the Country by Law

Adhering to the leadership of Communist Party of China is the basic experience of China’s legal construction. Adhering to the leadership and governance of Chinese Communist Party is China’s fundamental political condition and basic legal condition. Leadership of Chinese Communist Party ensures the correct direction, correct organizational mechanism and solid financial security for comprehensively promoting ruling the country by law. Adhering to the Party’s leadership is able to ensure good laws to be established and properly implemented

A content analysis of print advertisements from the United States and Taiwan

This study is conducted through content analysis to determine the degree of advertising standardization between the United States and Taiwan. Based on the literature review the impact of standardization versus localization advertising strategies is discussed

Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search

Text-based person search aims to retrieve the corresponding person images in an image database by virtue of a describing sentence about the person, which poses great potential for various applications such as video surveillance. Extracting visual contents corresponding to the human description is the key to this cross-modal matching problem. Moreover, correlated images and descriptions involve different granularities of semantic relevance, which is usually ignored in previous methods. To exploit the multilevel corresponding visual contents, we propose a pose-guided multi-granularity attention network (PMA). Firstly, we propose a coarse alignment network (CA) to select the related image regions to the global description by a similarity-based attention. To further capture the phrase-related visual body part, a fine-grained alignment network (FA) is proposed, which employs pose information to learn latent semantic alignment between visual body part and textual noun phrase. To verify the effectiveness of our model, we perform extensive experiments on the CUHK Person Description Dataset (CUHK-PEDES) which is currently the only available dataset for text-based person search. Experimental results show that our approach outperforms the state-of-the-art methods by 15 \% in terms of the top-1 metric.Comment: published in AAAI2020(oral