Yunbin Tu

Orcid: 0000-0002-9525-9060

According to our database¹, Yunbin Tu authored at least 22 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Multi-Grained Representation Aggregating Transformer with Gating Cycle for Change Captioning.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., October, 2024

SMART: Syntax-Calibrated Multi-Aspect Relation Transformer for Change Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning.

[BibT_eX]

[DOI]

CoRR, 2024

MAGIC: Rethinking Dynamic Convolution Design for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Distractors-Immune Representation Learning with Cross-Modal Contrastive Regularization for Change Captioning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Dual Attention Encoder with Joint Preservation for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Context-aware Difference Distilling for Multi-change Captioning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Relation-aware attention for video captioning via graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

I3N: Intra- and Inter-Representation Interaction Network for Change Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Neighborhood Contrastive Transformer for Change Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Self-supervised Cross-view Representation Reconstruction for Change Captioning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Long Short-Term Relation Transformer With Global Gating for Video Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

R\^3Net: Relation-embedded Representation Reconstruction Network for Change Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semantic Relation-aware Difference Representation Learning for Change Captioning.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

STAT: Spatial-Temporal Attention Mechanism for Video Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

2017

Video Description with Spatial-Temporal Attention.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Yunbin Tu

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