75 citations · 143 across the 6 of their papers we have counts for
9 papers
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers
Vandad Davoodnia, Saeed Ghorbani, Alexandre Messier +1
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-…
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau +2
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 fram…
Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers
Vandad Davoodnia, Ali Etemad
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…
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators
Vandad Davoodnia, Saeed Ghorbani, Ali Etemad
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 b…
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
Guangyi Zhang, Vandad Davoodnia, Ali Etemad
We propose PARSE, a novel semi-supervised architecture for learning strong EEG representations for emotion recognition. To reduce the potential distribution mismatch between the la…
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning
Vandad Davoodnia, Ali Etemad
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 suc…