Search Results for author: Wenkun Zhang

Found 3 papers, 2 papers with code

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

2 code implementations15 Feb 2024 Jinyuan Li, Han Li, Di Sun, Jiahao Wang, Wenkun Zhang, Zan Wang, Gang Pan

Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions.

Grounded Multimodal Named Entity Recognition Multi-modal Named Entity Recognition +8

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

1 code implementation20 May 2023 Jinyuan Li, Han Li, Zhuo Pan, Di Sun, Jiahao Wang, Wenkun Zhang, Gang Pan

However, these methods either neglect the necessity of providing the model with external knowledge, or encounter issues of high redundancy in the retrieved knowledge.

 Ranked #1 on Multi-modal Named Entity Recognition on Twitter-2017 (using extra training data)

Multi-modal Named Entity Recognition named-entity-recognition +1

A Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography

no code implementations10 Mar 2019 Ziheng Li, Wenkun Zhang, Linyuan Wang, Ailong Cai, Ningning Liang, Bin Yan, Lei LI

Limited-angle computed tomography (CT) image reconstruction is a challenging reconstruction problem in the fields of CT. With the development of deep learning, the generative adversarial network (GAN) perform well in image restoration by approximating the distribution of training sample data.

Medical Physics

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