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

26 citations · 58 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

16 papers · 1 filter

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.CV20226 cited

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong +4

Human action recognition has recently become one of the popular research topics in the computer vision community. Various 3D-CNN based methods have been presented to tackle both th…

cs.CV2021

BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

Thanh-Dat Truong, Chi Nhan Duong, Ngan Le +3

Semantic segmentation aims to predict pixel-level labels. It has become a popular task in various computer vision applications. While fully supervised segmentation methods have ach…

cs.CV2021

The Right to Talk: An Audio-Visual Transformer Approach

Thanh-Dat Truong, Chi Nhan Duong, The De Vu +4

Turn-taking has played an essential role in structuring the regulation of a conversation. The task of identifying the main speaker (who is properly taking his/her turn of speaking)…

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…