no code implementations • 13 Feb 2024 • Qiyuan An, Christos Sevastopoulos, Fillia Makedon
Endeavors in indoor robotic navigation rely on the accuracy of segmentation models to identify free space in RGB images.
no code implementations • 3 Nov 2023 • Christos Sevastopoulos, Joey Hussain, Stasinos Konstantopoulos, Vangelis Karkaletsis, Fillia Makedon
Accurate indoor free-space segmentation is a challenging task due to the complexity and the dynamic nature that indoor environments exhibit.
no code implementations • 28 Jun 2021 • Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Fillia Makedon, Glenn Wylie
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that records neural activations in the brain by capturing the blood oxygen level in different regions based on the task performed by a subject.
no code implementations • 22 Jun 2021 • Debapriya Banerjee, Fotios Lygerakis, Fillia Makedon
Multi-modal sentiment analysis plays an important role for providing better interactive experiences to users.
no code implementations • 7 Jun 2021 • Krishna Chaitanya Kodur, Kaustubh Rajpathak, Akilesh Rajavenkatanarayanan, Maria Kyrarini, Fillia Makedon
There is a need for a unified system that not only performs tasks that would assist nurses and reduce their burden but also perform tasks that help a patient.
no code implementations • 15 Dec 2020 • Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Maria Kyrarini, Morris Bell, Fillia Makedon
Furthermore in order to improve the accuracy of the system, a deep learning based model was pre-trained on NTU-RGB+D 120 dataset and then it was fine-tuned on our gait dataset.
no code implementations • 31 Oct 2020 • Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, Fillia Makedon
Self-supervised learning has gained popularity because of its ability to avoid the cost of annotating large-scale datasets.
no code implementations • 26 Aug 2020 • Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Fillia Makedon
Subsequently, results prove superiority of the proposed method over baseline methods for providing a useful representation of videos used in human activity recognition performed on datasets such as KTH, UCF101 and Ball-Drop.
Generative Adversarial Network Human Activity Recognition +1
no code implementations • 3 Apr 2018 • Srujana Gattupalli, Ashwin Ramesh Babu, James Robert Brady, Fillia Makedon, Vassilis Athitsos
Hand keypoints detection and pose estimation has numerous applications in computer vision, but it is still an unsolved problem in many aspects.
no code implementations • 25 Mar 2017 • Amir Ghaderi, Srujana Gattupalli, Dylan Ebert, Ali Sharifara, Vassilis Athitsos, Fillia Makedon
As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76. 46% in our previous work to 97. 19% in this paper.
no code implementations • LREC 2012 • Alex Papangelis, ros, Vangelis Karkaletsis, Fillia Makedon
The number of applied Dialogue Systems is ever increasing in several service providing and other applications as a way to efficiently and inexpensively serve large numbers of customers.