most cited3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting

21 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models

Xiangyu Dong, Haoran Zhao, Jiang Gao +5

Recent advances in vision-language navigation (VLN) were mainly attributed to emerging large language models (LLMs). These methods exhibited excellent generalization capabilities i…

cs.CV20241 cited

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency

Yuhong Chen, Ailin Song, Huifeng Yin +5

The rapid evolution of multimedia technology has revolutionized human perception, paving the way for multi-view learning. However, traditional multi-view learning approaches are ta…

cs.MM20241 cited

Multimodal Sentiment Analysis Based on Causal Reasoning

Fuhai Chen, Pengpeng Huang, Xuri Ge +2

With the rapid development of multimedia, the shift from unimodal textual sentiment analysis to multimodal image-text sentiment analysis has obtained academic and industrial attent…

cs.CV202412 cited

Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning

Xuri Ge, Junchen Fu, Fuhai Chen +3

Facial action units (AUs), as defined in the Facial Action Coding System (FACS), have received significant research interest owing to their diverse range of applications in facial…

cs.CV2024

Hire: Hybrid-modal Interaction with Multiple Relational Enhancements for Image-Text Matching

Xuri Ge, Fuhai Chen, Songpei Xu +3

Image-text matching (ITM) is a fundamental problem in computer vision. The key issue lies in jointly learning the visual and textual representation to estimate their similarity acc…

cs.CV202421 cited

3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting

Xuri Ge, Songpei Xu, Fuhai Chen +4

In this paper, we propose a novel visual Semantic-Spatial Self-Highlighting Network (termed 3SHNet) for high-precision, high-efficiency and high-generalization image-sentence retri…