Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension-Reference-Cited by-同舟云学术

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Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension

Published:2024 Issue: Volume:33 Page:3256-3270
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Yujia¹^ORCID,Li Qianzhong²,Pan Yi¹,Zhao Xiaoguang¹,Tan Min³^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Meituan, Beijing, China

3. Laboratory of Cognitive and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

International Partnership Program of the Chinese Academy of Sciences

Independent Research Project of Medical Engineering Laboratory of Chinese PLA General Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10517914.pdf?arnumber=10517914

Reference64 articles.

1. INGRESS: Interactive visual grounding of referring expressions

2. Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

3. Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

4. A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks From Ambiguous Language Instructions

5. Robot Object Retrieval with Contextual Natural Language Queries

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