8 citations · 16 across the 10 of their papers we have counts for
10 papers
CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs
Nhat-Tan Bui, Varshini Elangovan, Arun Reddy Anugu +7
Representing a 3D scene as multi-view images allows 2D VLMs to reason in 3D by reusing priors from pre-training, sidestepping the scarcity of annotated 3D data. However, it produce…
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Trong Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui +8
Developing an interpretable system for generating reports in chest X-ray (CXR) analysis is becoming increasingly crucial in Computer-aided Diagnosis (CAD) systems, enabling radiolo…
NeIn: Telling What You Don't Want
Nhat-Tan Bui, Dinh-Hieu Hoang, Quoc-Huy Trinh +3
Negation is a fundamental linguistic concept used by humans to convey information that they do not desire. Despite this, minimal research has focused on negation within text-guided…
CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
Ethan Coffman, Reagan Clark, Nhat-Tan Bui +5
To address this challenge, we introduce CattleFace-RGBT, a RGB-T Cattle Facial Landmark dataset consisting of 2,300 RGB-T image pairs, a total of 4,600 images. Creating a landmark…
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan +4
The electrocardiogram (ECG) is a valuable signal used to assess various aspects of heart health, such as heart rate and rhythm. It plays a crucial role in identifying cardiac condi…
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang +6
Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras. It supports multimodal tasks, including text-based person retri…
SAM3D: Segment Anything Model in Volumetric Medical Images
Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran +5
Image segmentation remains a pivotal component in medical image analysis, aiding in the extraction of critical information for precise diagnostic practices. With the advent of deep…
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen +2
Efficient polyp segmentation in healthcare plays a critical role in enabling early diagnosis of colorectal cancer. However, the segmentation of polyps presents numerous challenges,…
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau +4
Polyp segmentation has recently garnered significant attention, and multiple methods have been formulated to achieve commendable outcomes. However, these techniques often confront…
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui +2
Medical image segmentation is the technique that helps doctor view and has a precise diagnosis, particularly in Colorectal Cancer. Specifically, with the increase in cases, the dia…