6 citations · 6 across the 4 of their papers we have counts for
5 papers
SeCo-SBIR: Semantically Consistent Prompt Learning for Zero-Shot Sketch-Based Image Retrieval
Long Hoang Dang, Tuan Nguyen Huu, Nguyen Minh Hieu +1
Adapting CLIP for zero-shot sketch-based image retrieval (ZS-SBIR) via prompt learning faces a fundamental tension: the model must bridge the sketch-photo domain gap through task-s…
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…
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…
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
Long Hoang Dang, Thao Minh Le, Vuong Le +1
Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visu…
Object-Centric Representation Learning for Video Question Answering
Long Hoang Dang, Thao Minh Le, Vuong Le +1
Video question answering (Video QA) presents a powerful testbed for human-like intelligent behaviors. The task demands new capabilities to integrate video processing, language unde…