Hon Hai Precision Industry Co., Ltd.

Academia Sinica

Foxconn Technology Group Co., Ltd.

Hong-Han Shuai

Ming-Syan Chen

Yung-Hui Li

De-Nian Yang

Chih-Ya Shen

Jing-Cheng Ke

Jia Wang

Wen-Huang Cheng

A recognition method includes the following steps. A text is analyzed by a language recognition network to generate an entity feature, a relation feature and an overall feature. An input image is analyzed by an object detection network to generate candidate regions. Node features, aggregated edge features and compound features are generated by an enhanced cross-modal graph attention network according to the entity feature, the relation feature, the candidate regions and the overall feature. The entity feature and the relation feature are matched to the node features and the aggregated edge features to generate the first scores. The overall feature is matched to the compound features to generate second scores. Final scores corresponding to the candidate regions are generated according to the first scores and the second scores.

Recognition method and electronic device

A social activity planning method includes the following operation. A database storing multiple candidate invitees with their geographical locations and interest scores towards a topic, and a social graph including vertices representing the candidate invitees and edges connecting two vertices representing mutual acquaintance of the associated candidate invitees is accessed. A social activity request including an invitation number, information about a social activity, and a familiarity condition for the social activity request is received. At least one feasible solution including the invitation number of the candidate invitees and meeting the familiarity condition is generated. A group of selected invitees are found based on the feasible solution and the information about the social activity.

Social activity planning system and method

Growing community of inventors

Taipei, Taiwan

Hong-Han Shuai