33 citations · 42 across the 5 of their papers we have counts for
5 papers · 1 filter
MACS: Mass Conditioned 3D Hand and Object Motion Synthesis
Soshi Shimada, Franziska Mueller, Jan Bednarik +7
The physical properties of an object, such as mass, significantly affect how we manipulate it with our hands. Surprisingly, this aspect has so far been neglected in prior work on 3…
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen +8
We propose a novel transformer-based framework that reconstructs two high fidelity hands from multi-view RGB images. Unlike existing hand pose estimation methods, where one typical…
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli +3
Mutual gaze detection, i.e., predicting whether or not two people are looking at each other, plays an important role in understanding human interactions. In this work, we focus on…
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri +1
Hand-object pose estimation (HOPE) aims to jointly detect the poses of both a hand and of a held object. In this paper, we propose a lightweight model called HOPE-Net which jointly…
Hand Pose Estimation: A Survey
Bardia Doosti
The success of Deep Convolutional Neural Networks (CNNs) in recent years in almost all the Computer Vision tasks on one hand, and the popularity of low-cost consumer depth cameras…