3 citations · 4 across the 5 of their papers we have counts for
5 papers
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation
Anh M. Vu, Khang P. Le, Trang T. K. Vo +13
Weakly supervised semantic segmentation (WSSS) in histopathology seeks to reduce annotation cost by learning from image-level labels, yet it remains limited by inter-class homogene…
Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
Ba-Thinh Nguyen, Thach-Ha Ngoc Pham, Hoang-Long Duc Nguyen +2
Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such a…
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging
Tan-Hanh Pham, Chris Ngo, Trong-Duong Bui +3
Medical Visual Language Models have shown great potential in various healthcare applications, including medical image captioning and diagnostic assistance. However, most existing m…
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese
Khang T. Doan, Bao G. Huynh, Dung T. Hoang +5
In this report, we introduce Vintern-1B, a reliable 1-billion-parameters multimodal large language model (MLLM) for Vietnamese language tasks. By integrating the Qwen2-0.5B-Instruc…
RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification
Hai-Long Nguyen, Thi-Kieu-Trang Pham, Thai-Son Le +3
In this study, we present a novel and challenging multilabel Vietnamese dataset (RMDM) designed to assess the performance of large language models (LLMs), in verifying electronic i…