Yunbin Tu

Orcid: 0000-0002-9525-9060

According to our database1, Yunbin Tu authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Relation-aware attention for video captioning via graph learning.
Pattern Recognit., April, 2023

I3N: Intra- and Inter-Representation Interaction Network for Change Captioning.
IEEE Trans. Multim., 2023

Neighborhood Contrastive Transformer for Change Captioning.
IEEE Trans. Multim., 2023

Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning.
IEEE Trans. Image Process., 2023

Neighborhood Contrastive Transformer for Change Captioning.
CoRR, 2023

Self-supervised Cross-view Representation Reconstruction for Change Captioning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
I<sup>2</sup>Transformer: Intra- and Inter-Relation Embedding Transformer for TV Show Captioning.
IEEE Trans. Image Process., 2022

Long Short-Term Relation Transformer With Global Gating for Video Captioning.
IEEE Trans. Image Process., 2022

LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Enhancing the alignment between target words and corresponding frames for video captioning.
Pattern Recognit., 2021

R<sup>3</sup>Net: Relation-embedded Representation Reconstruction Network for Change Captioning.
CoRR, 2021

R\^3Net: Relation-embedded Representation Reconstruction Network for Change Captioning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semantic Relation-aware Difference Representation Learning for Change Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Corrections to "STAT: Spatial-Temporal Attention Mechanism for Video Captioning".
IEEE Trans. Multim., 2020

STAT: Spatial-Temporal Attention Mechanism for Video Captioning.
IEEE Trans. Multim., 2020

2017
Video Description with Spatial-Temporal Attention.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


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