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Liuwu Li

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2 papers
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2

AAAI Conference 2022 Short Paper

Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract)

  • Yuqi Bu
  • Jiayuan Xie
  • Liuwu Li
  • Qiong Liu
  • Yi Cai

Referring expression comprehension aims at grounding the object in an image referred to by the expression. Scene text that serves as an identifier has a natural advantage in referring to objects. However, existing methods only consider the text in the expression, but ignore the text in the image, leading to a mismatch. In this paper, we propose a novel model that can recognize the scene text. We assign the extracted scene text to its corresponding visual region and ground the target object guided by expression. Experimental results on two benchmarks demonstrate the effectiveness of our model.

AAAI Conference 2022 Short Paper

Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)

  • Zhuoming Zheng
  • Yi Cai
  • Liuwu Li

Aspect detection aims to identify aspects of reviews and is an essential up-stream task of opinion mining and so on. However, existing weakly-supervised methods suffer from lacking the ability of identifying implicit aspects with infrequent aspect terms and “Misc” aspects. To tackle these problems, we propose to enhance the representation of segment with external knowledge by a weakly-supervised method. Experiments demonstrate the effectiveness of our model and the improvement by incorporating external knowledge.

v2026.09.13