Search Results for author:
Found 4 papers, 2 papers with code
Beyond Intermediate States: Explaining Visual Redundancy through Language
Multi-modal Large Langue Models (MLLMs) often process thousands of visual tokens, which consume a significant portion of the context window and impose a substantial computational burden.
Video-Language Alignment via Spatio-Temporal Graph Transformer
In this paper, we propose a novel Spatio-Temporal Graph Transformer module to uniformly learn spatial and temporal contexts for video-language alignment pre-training (dubbed STGT).
Adaptive Perception Transformer for Temporal Action Localization
Besides, their multi-stage designs cannot generate action boundaries and categories straightforwardly.
Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified Learning Scheme and Dynamic Range Minimization
2) Secondly, a text-guided information range minimization method is proposed to adaptively encode descriptive parts of each modality into an identical space with a powerful pretrained linguistic model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
