3 papers
cs.LG2026
Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
Menghua Jiang, Yuxia Lin, Baoliang Chen +3
Multimodal sentiment analysis (MSA) aims to understand human emotions by integrating information from multiple modalities, such as text, audio, and visual data. However, existing m…
cs.CV2026
HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
Zequn Xie, Xin Liu, Boyun Zhang +3
The success of CLIP has driven substantial progress in text-video retrieval. However, current methods often suffer from "blind" feature interaction, where the model struggles to di…
cs.CV2026
Delving Deeper: Hierarchical Visual Perception for Robust Video-Text Retrieval
Zequn Xie, Boyun Zhang, Yuxiao Lin +1
Video-text retrieval (VTR) aims to locate relevant videos using natural language queries. Current methods, often based on pre-trained models like CLIP, are hindered by video's inhe…