1 citations · 1 across the 5 of their papers we have counts for
5 papers
DeceptionX: From Multimodal Evidence to Explainable Deception Detection
Jiayu Zhang, Shuo Ye, Jiajian Huang +8
Deception detection is a critical and highly challenging task within affective computing and behavioral analysis. Existing deep learning methods typically treat this task as a stra…
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning
Yelin Wang, Zijia Song, Shuo Ye +6
Remote Sensing Image Change Captioning (RSICC) aims to describe changes between bi-temporal remote sensing images and holds significant research and application value. However, mos…
DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning
Yelin Wang, Zijia Song, Chuanguang Yang +4
The primary goal of Remote Sensing Image Change Captioning (RSICC) is to automatically generate descriptions of changes between remote sensing images captured at different time poi…
OracleAnalyser: Analysing Implicit Semantics of Oracle Bone Scripts through MLLMs with Post-training
Zijia Song, Yelin Wang, Zhengyi Ma +5
With the advancement of artificial intelligence, research on oracle bone scripts has entered a new era. However, existing methods and benchmarks remain largely confined to recognit…
Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View
Zijia Song, Zelin Zang, Yelin Wang +5
Multimodal fusion breaks through the boundaries between diverse modalities and has already achieved notable performances. However, in many specialized fields, it is struggling to o…