activity
20182024
most citedDirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

6 citations · 9 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV20241 cited

Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy

Hoang-Quan Nguyen, Thanh-Dat Truong, Khoa Luu

Action recognition has become one of the popular research topics in computer vision. There are various methods based on Convolutional Networks and self-attention mechanisms as Tran…

cs.CV2022

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation

Thanh-Dat Truong, Naga Venkata Sai Raviteja Chappa, Xuan Bac Nguyen +3

Unsupervised domain adaptation is one of the challenging problems in computer vision. This paper presents a novel approach to unsupervised domain adaptations based on the optimal t…

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…