6 citations · 6 across the 17 of their papers we have counts for
4 papers · 1 filter
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Quang-Hung Le, Long Hoang Dang, Ngan Le +2
Existing Large Vision-Language Models (LVLMs) excel at matching concepts across multi-modal inputs but struggle with compositional concepts and high-level relationships between ent…
Unified Framework with Consistency across Modalities for Human Activity Recognition
Tuyen Tran, Thao Minh Le, Hung Tran +1
Recognizing human activities in videos is challenging due to the spatio-temporal complexity and context-dependence of human interactions. Prior studies often rely on single input m…
SADL: An Effective In-Context Learning Method for Compositional Visual QA
Long Hoang Dang, Thao Minh Le, Vuong Le +2
Large vision-language models (LVLMs) offer a novel capability for performing in-context learning (ICL) in Visual QA. When prompted with a few demonstrations of image-question-answe…
Revisiting the Dataset Bias Problem from a Statistical Perspective
Kien Do, Dung Nguyen, Hung Le +6
In this paper, we study the "dataset bias" problem from a statistical standpoint, and identify the main cause of the problem as the strong correlation between a class attribute u a…