Work

Multi-Layer Content Interaction Through Quaternion Product for Visual Question Answering

Year: 2020

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp40776.2020.9053595

Authors: Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su

Institutions: Beijing University of Posts and Telecommunications, Rutgers, The State University of New Jersey, Mitsubishi Electric (United States), Mitsubishi Electric Research Laboratories (United States), Chinese University of Hong Kong

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3015246548

FWCI: 0.925

Cites: 35

Cited by: 12

Related to: 10