activity
20192026
most citedTraining-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2

Remote photoplethysmography (rPPG) enables contactless physiological sensing from facial videos by analyzing subtle appearance variations induced by blood circulation. However, mod…

cs.CV2026

HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation

Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2

Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos; however, its practical deployment is often hindered by substantial performance…

cs.CV2025

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Huu Tien Nguyen, Dac Thai Nguyen, The Minh Duc Nguyen +11

Vision-Language Foundation Models (VLMs), trained on large-scale multimodal datasets, have driven significant advances in Artificial Intelligence (AI) by enabling rich cross-modal…

cs.CV2025★ 1 cited

Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models

Manh Duong Nguyen, Dac Thai Nguyen, Trung Viet Nguyen +3

Osteosarcoma, the most common primary bone cancer, often requires accurate necrosis assessment from whole slide images (WSIs) for effective treatment planning and prognosis. Howeve…

eess.IV2024★ 1 cited

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Van Phi Nguyen, Tri Nhan Luong Ha, Huy Hieu Pham +1

Conditional video diffusion models (CDM) have shown promising results for video synthesis, potentially enabling the generation of realistic echocardiograms to address the problem o…

cs.CV2019

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour +3

We present a new deep learning approach for real-time 3D human action recognition from skeletal data and apply it to develop a vision-based intelligent surveillance system. Given a…