Video Pivoting Unsupervised Multi-Modal Machine Translation-Reference-Cited by-同舟云学术

Video Pivoting Unsupervised Multi-Modal Machine Translation

Published:2022 Issue: Volume: Page:1-15
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Li Mingjie¹,Huang Po-Yao²,Chang Xiaojun¹^ORCID,Hu Junjie³,Yang Yi⁴^ORCID,Hauptmann Alex⁵

Affiliation:

1. Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia

2. Facebook AI Research, Menlo Park, CA, USA

3. University of Wisconsin-Madison, Madison, WI, USA

4. College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China

5. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

Australian Research Council Discovery Early Career Award

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09792411.pdf?arnumber=9792411

Reference74 articles.

1. Multimodal machine translation through visuals and speech;sulubacak,2019

2. Stacked cross attention for image-text matching;lee,2018

3. Deep Residual Learning for Image Recognition

4. Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment

5. Keyframe segmentation and positional encoding for video-guided machine translation challenge 2020;hirasawa,2020

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