Jun 9, 2022 · We build a spatio-temporal Transformer model that attends to semantically rich convolutional neural network-based feature maps.

A spatio-temporal Transformer model that attends to semantically rich convolutional neural network-based feature maps and proposes feature map tokens: a new ...

Egocentric 3D human pose estimation (HPE) from images is challenging due to severe self-occlusions and strong distortion introduced by the fish-eye view ...

In this paper we investigate the use of a pure transformer architecture (i.e., one with no CNN backbone) for the problem of 2D body pose estimation. We evaluate ...

Aug 4, 2023 · We propose a domain-guided spatio-temporal transformer model that leverages information specific to ego-views.

Feb 1, 2023 · Powered by this FMT-based transformer, we build Egocentric Spatio-Temporal Self-Attention Network (Ego-STAN), which uses heatmap-based ...

Jun 9, 2022 · We build a spatio-temporal Transformer model that attends to semantically rich convolutional neural network-based feature maps.

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation ... Egocentric 3D human pose estimation (HPE) from images is challenging due to severe ...

Missing: Building Egocentric

Vision-based ego-centric 3D human pose estimation (ego-HPE) is essential to support critical applications of xR-technologies.