18 citations · 45 across the 6 of their papers we have counts for
6 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…
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
Saeed Ghorbani, Ylva Ferstl, Daniel Holden +2
We present ZeroEGGS, a neural network framework for speech-driven gesture generation with zero-shot style control by example. This means style can be controlled via only a short ex…
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…
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje +1
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camer…
In-bed Pressure-based Pose Estimation using Image Space Representation Learning
Vandad Davoodnia, Saeed Ghorbani, Ali Etemad
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, pos…