activity
20222024
most citedDirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

6 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 1 cited

A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior

Manuel Serna-Aguilera, Xuan Bac Nguyen, Han-Seok Seo +1

Facial expressions and actions differ among different individuals at varying degrees of intensity given responses to external stimuli, particularly among those that are neurodiverg…

cs.CV2024

Video-Based Autism Detection with Deep Learning

M. Serna-Aguilera, X. B. Nguyen, A. Singh +5

Individuals with Autism Spectrum Disorder (ASD) often experience challenges in health, communication, and sensory processing; therefore, early diagnosis is necessary for proper tre…

cs.CV2023

SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition

Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4

This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To…

cs.CV2023★ 6 cited

Micron-BERT: BERT-based Facial Micro-Expression Recognition

Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li +3

Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief pe…

cs.CV2023

SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition

Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4

In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled video dat…

cs.CV2022★ 6 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…