Zobrazeno 1 - 10
of 944
pro vyhledávání: '"Davoodnia A"'
We introduce UPose3D, a novel approach for multi-view 3D human pose estimation, addressing challenges in accuracy and scalability. Our method advances existing pose estimation frameworks by improving robustness and flexibility without requiring direc
Externí odkaz:
http://arxiv.org/abs/2404.14634
We introduce SkelFormer, a novel markerless motion capture pipeline for multi-view human pose and shape estimation. Our method first uses off-the-shelf 2D keypoint estimators, pre-trained on large-scale in-the-wild data, to obtain 3D joint positions.
Externí odkaz:
http://arxiv.org/abs/2404.12625
Autor:
Davoodnia, Vandad, Etemad, Ali
Publikováno v:
ICASSP 2023
Despite the impressive performance of vision-based pose estimators, they generally fail to perform well under adverse vision conditions and often don't satisfy the privacy demands of customers. As a result, researchers have begun to study tactile sen
Externí odkaz:
http://arxiv.org/abs/2303.05691
Publikováno v:
Applied Intelligence (2021): 1-15
In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes. In this paper, we explore different strategies for detecting body pose from highly ambiguous pressure data, with the aid of pre-exis
Externí odkaz:
http://arxiv.org/abs/2206.06518
Publikováno v:
In Journal of Molecular Structure 5 November 2024 1315
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
We propose PARSE, a novel semi-supervised architecture for learning strong EEG representations for emotion recognition. To reduce the potential distribution mismatch between the large amounts of unlabeled data and the limited amount of labeled data,
Externí odkaz:
http://arxiv.org/abs/2202.05400
Autor:
Davoodnia, Vandad, Etemad, Ali
Publikováno v:
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Sleep posture analysis is widely used for clinical patient monitoring and sleep studies. Earlier research has revealed that sleep posture highly influences symptoms of diseases such as apnea and pressure ulcers. In this study, we propose a robust dee
Externí odkaz:
http://arxiv.org/abs/2104.02159
Publikováno v:
In Optical Materials February 2024 148
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing 14 (2023) 5463-5477
Smart devices in the Internet of Things (IoT) paradigm provide a variety of unobtrusive and pervasive means for continuous monitoring of bio-metrics and health information. Furthermore, automated personalization and authentication through such smart
Externí odkaz:
http://arxiv.org/abs/2006.10453
Publikováno v:
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3965-3969). IEEE
Recent advances in deep pose estimation models have proven to be effective in a wide range of applications such as health monitoring, sports, animations, and robotics. However, pose estimation models fail to generalize when facing images acquired fro
Externí odkaz:
http://arxiv.org/abs/1908.08919