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researcher

Yi Bin

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.SI1
ORCID 0000-0001-9714-8738
same name
  • Yi Bin — 2 papers, h 19
  • Yi Bin — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedYour Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination

41 citations · 75 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2023★ 1 cited

Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection

Jun Li, Yi Bin, Jie Zou +2

Previous studies on multimodal fake news detection have observed the mismatch between text and images in the fake news and attempted to explore the consistency of multimodal news b…

cs.CL2023

Non-Autoregressive Sentence Ordering

Yi Bin, Wenhao Shi, Bin Ji +3

Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step…

cs.CV2023★ 41 cited

Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination

Haoxuan Li, Yi Bin, Junrong Liao +2

Most existing image-text matching methods adopt triplet loss as the optimization objective, and choosing a proper negative sample for the triplet of <anchor, positive, negative> is…

cs.CV2023★ 33 cited

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval

Yi Bin, Haoxuan Li, Yahui Xu +3

Most existing cross-modal retrieval methods employ two-stream encoders with different architectures for images and texts, \textit{e.g.}, CNN for images and RNN/Transformer for text…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.