1 citations · 1 across the 4 of their papers we have counts for
4 papers
GADS: A Super Lightweight Model for Head Pose Estimation
Menan Velayuthan, Asiri Gawesha, Purushoth Velayuthan +3
In human-computer interaction, head pose estimation profoundly influences application functionality. Although utilizing facial landmarks is valuable for this purpose, existing land…
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
Asiri Lindamulage, Nuwan Kodagoda, Shyam Reyal +2
Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the orig…
2D Pose Estimation based Child Action Recognition
Sanka Mohottala, Sandun Abeygunawardana, Pradeepa Samarasinghe +2
We present a graph convolutional network with 2D pose estimation for the first time on child action recognition task achieving on par results with an RGB modality based model on a…
Graph Neural Network based Child Activity Recognition
Sanka Mohottala, Pradeepa Samarasinghe, Dharshana Kasthurirathna +1
This paper presents an implementation on child activity recognition (CAR) with a graph convolution network (GCN) based deep learning model since prior implementations in this domai…