activity
20162022
most citedShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

26 citations · 53 across the 5 of their papers we have counts for

collaborators

11 papers

cs.CV20224 cited

Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach

Pha Nguyen, Kha Gia Quach, Chi Nhan Duong +3

The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car. It is e…

cs.CV20222 cited

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

Pha Nguyen, Kha Gia Quach, Chi Nhan Duong +3

The development of autonomous vehicles provides an opportunity to have a complete set of camera sensors capturing the environment around the car. Thus, it is important for object d…

cs.CV2021

DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Kha Gia Quach, Pha Nguyen, Huu Le +4

Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision problem due to its emerging applicability in several real-world applications. Despite a large number…

cs.CV20203 cited

A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation

Ngan Le, Kashu Yamazaki, Dat Truong +2

In recent years, deep neural networks have achieved state-of-the-art performance in a variety of recognition and segmentation tasks in medical imaging including brain tumor segment…

cs.CV2020

Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition

Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach +3

Unveiling face images of a subject given his/her high-level representations extracted from a blackbox Face Recognition engine is extremely challenging. It is because the limitation…

cs.CV201926 cited

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1

Large-scale face recognition in-the-wild has been recently achieved matured performance in many real work applications. However, such systems are built on GPU platforms and mostly…