Nam Vu Hoai

ORCID: 0009-0007-0112-5816
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Virtual Reality Applications and Impacts
  • Gaze Tracking and Assistive Technology
  • Visual Attention and Saliency Detection
  • Interactive and Immersive Displays
  • CCD and CMOS Imaging Sensors
  • Landslides and related hazards
  • Karst Systems and Hydrogeology
  • Oral and Maxillofacial Pathology
  • Augmented Reality Applications

Ho Chi Minh City University of Science
2024

Vietnam National University Ho Chi Minh City
2024

Posts and Telecommunications Institute of Technology - Ho Chi Minh City
2018-2019

Mixed Reality (MR) is often viewed and experienced by users wearing specialized head-mounted displays (HMDs) to perceive virtual objects spatially positioned in the users' physical environment. In a classroom or during on-stage presentation, it presenters only who are equipped with MR HMDs. However, since spectators most outnumber presenters, equipping collocated HMDs create shared immersive experience can be costly. This imbalance result inefficient presenter-spectator communication reduce...

10.1145/3613905.3650796 article EN 2024-05-02

Accurate tracking of the sinkholes that are appearing frequently now is an important method protecting human and property damage. Although many sinkhole detection systems have been proposed, it still far from completely solved especially in-depth area. Furthermore, algorithms experienced problem unstable result makes system difficult to fire a warning in real-time. In this paper, we proposed takes advantage recent development CNN transfer learning. Our consists three main parts which binary...

10.1109/icufn.2019.8806136 article EN 2019-07-01

In this paper, we propose a method for recognizing human visual attention by utilizing the image data. our method, is recognized in three steps: data processing, feature learning, and transfer learning - based classification. We rigorously experimented on PRIMA dataset from GRAVIR Laboratory, INRIA Rhone-Alpes. The experiment results show that can be distinguished more than 95% accuracy. These achievements have shown feasibility of real-world application such as smart classroom, healthcare,...

10.1109/atc.2018.8587576 article EN 2018-10-01
Coming Soon ...