2 citations · 2 across the 3 of their papers we have counts for
4 papers
Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization
Jingwei Peng, Zhixuan Qiu, Boyu Jin +1
Human action recognition often struggles with deep semantic understanding, complex contextual information, and fine-grained distinction, limitations that traditional methods freque…
Large Language Models for Zero-Shot Multicultural Name Recognition
Thanakorn Phonchai, Surasakdi Siripong, Nicholas Patterson +1
The robust and accurate recognition of multicultural names, particularly those not previously encountered, is a critical challenge in an increasingly globalized digital landscape.…
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning
Julian Perry, Surasakdi Siripong, Thanakorn Phonchai
Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities in multimodal tasks, but their performance is often constrained by the lack of external knowledge int…
Large Vision-Language Models for Remote Sensing Visual Question Answering
Surasakdi Siripong, Apirak Chaiyapan, Thanakorn Phonchai
Remote Sensing Visual Question Answering (RSVQA) is a challenging task that involves interpreting complex satellite imagery to answer natural language questions. Traditional approa…