activity
20242026
most citedDS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

Nhi Ngoc-Yen Nguyen, Thai Nguyen, Kiet Huynh Cao Tuan +1

Completing dental records from cone-beam computed tomography (CBCT) is difficult when annotation is scarce and individual clinical fields are supported by different types of eviden…

cs.LG2026

MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment

Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu Pham

Although multi-scales representation learning enables elastic-dimension embeddings, nested subspaces often suffer from dimensional redundancy and spectral collapse. To address this…

cs.CV2026

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation

Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu Pham

High-fidelity ECG interpretation is increasingly reliant on massive foundation models, yet their deployment in clinical edge-care remains hindered by extreme computational demands.…

cs.CV2026

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking

Nhat-Tan Do, Le-Huy Tu, Nhi Ngoc-Yen Nguyen +2

Multi-object tracking (MOT) is critical in numerous real-world applications, including surveillance, autonomous driving, and robotics. Accurately predicting object motion is fundam…

cs.CV2026

Linguistically Informed Multimodal Fusion for Vietnamese Scene-Text Image Captioning: Dataset, Graph Framework, and Phonological Attention

Nhi Ngoc-Yen Nguyen, Anh-Duc Nguyen, Nghia Hieu Nguyen +2

Scene-text image captioning requires fusing three information streams -- visual features, OCR-detected text, and linguistic knowledge -- to generate descriptions that faithfully in…

cs.CV2025

RAMOTS: A Real-Time System for Aerial Multi-Object Tracking based on Deep Learning and Big Data Technology

Nhat-Tan Do, Nhi Ngoc-Yen Nguyen, Dieu-Phuong Nguyen +1

Multi-object tracking (MOT) in UAV-based video is challenging due to variations in viewpoint, low resolution, and the presence of small objects. While other research on MOT dedicat…