LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering

no code implementations • CCL 2021 • Wan Zhang, Chen Keming, Zhang Yujie, Xu Jinan, Chen Yufeng

“The predominant approach of visual question answering (VQA) relies on encoding the imageand question with a ”black box” neural encoder and decoding a single token into answers suchas ”yes” or ”no”.

Question Answering Visual Question Answering

Identifying Emotion from Natural Walking

no code implementations • 3 Aug 2015 • Liqing Cui, Shun Li, Wan Zhang, Zhan Zhang, Tingshao Zhu

Emotion identification from gait aims to automatically determine persons affective state, it has attracted a great deal of interests and offered immense potential value in action tendency, health care, psychological detection and human-computer(robot) interaction. In this paper, we propose a new method of identifying emotion from natural walking, and analyze the relevance between the traits of walking and affective states.

Classification General Classification