3 citations · 6 across the 14 of their papers we have counts for
5 papers · 2 filters
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran +1
The enhanced representational power and broad applicability of deep learning models have attracted significant interest from the research community in recent years. However, these…
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network
Doanh C. Bui, Jin Tae Kwak
Whole slide image (WSI) classification is a crucial problem for cancer diagnostics in clinics and hospitals. A WSI, acquired at gigapixel size, is commonly tiled into patches and p…
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
Trinh T. L. Vuong, Doanh C. Bui, Jin Tae Kwak
In this paper, we present our solutions for a spectrum of automation tasks in life-saving intervention procedures within the Trauma THOMPSON (T3) Challenge, encompassing action rec…
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak
Slide-level classification for whole-slide images (WSIs) has been widely recognized as a crucial problem in digital and computational pathology. Current approaches commonly conside…
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval
Doanh C. Bui, Thinh V. Le, Ba Hung Ngo +1
Person attribute recognition and attribute-based retrieval are two core human-centric tasks. In the recognition task, the challenge is specifying attributes depending on a person's…