8 citations · 13 across the 3 of their papers we have counts for
3 papers
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen, Fengchun Qiao, Xi Peng
We study the problem of continual test-time adaption where the goal is to adapt a source pre-trained model to a sequence of unlabelled target domains at test time. Existing methods…
Deep learning-based estimation of whole-body kinematics from multi-view images
Kien X. Nguyen, Liying Zheng, Ashley L. Hawke +4
It is necessary to analyze the whole-body kinematics (including joint locations and joint angles) to assess risks of fatal and musculoskeletal injuries in occupational tasks. Human…
Deep Learning for Iris Recognition: A Survey
Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez
In this survey, we provide a comprehensive review of more than 200 papers, technical reports, and GitHub repositories published over the last 10 years on the recent developments of…